{ "count" : 52701, "data" : [ { "id" : "6a2c6b2d74d8ee00a0910939", "title" : "Risk & Fund Reporting Manager", "company" : "Moonfare", "industry" : "FinTech", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Manager in Financial Services in Luxembourg, Luxembourg, adjusted for seniority and industry." }, "location" : "Luxembourg, Luxembourg", "locations" : [ "Luxembourg", "Luxembourg" ], "certifications" : [ "ACCA", "CPA", "IRE", "FRM", "PRM" ], "timestamp" : "2026-06-15T04:45:42.773", "fingerprint" : "15a1fea429e30c0d5d0352caa5cc2069a116bdf27c2da9b7b9149515d5d71eac", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.moonfare.com/open-position/?gh_jid=7732176003", "externalId" : "7732176003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Luxembourg", "country" : "Luxembourg", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "49.6112768,6.1297990" } ], "locationText" : "Luxembourg, Luxembourg", "experienceLevel" : "Manager", "technicalSkills" : "Python, R, SQL, Bloomberg Terminal, Reuters Eikon, FactSet", "professionalSkills" : [ "Risk Management", "Fund Accounting Oversight", "Fund Audit", "Technical control", "Regulatory reporting", "Audit process leadership", "Second-level controls", "Third-party oversight", "SME leadership", "Control framework maintenance", "AI-augmented fund controlling", "AI-augmented reporting", "Service Level Agreements", "Oversight framework" ], "hardSkillsList" : [ "Liquidity risk", "Stress testing", "Fund accounting", "Fee accruals", "Valuation principles", "NAV verification", "Distribution reconciliation", "Oversight log maintenance", "Data flow control", "Technical discrepancy resolution", "Internal control", "SOP maintenance", "Risk reporting", "Financial oversight" ], "hardSkills" : [ { "name" : "Liquidity risk", "level" : "intermediate" }, { "name" : "Stress testing", "level" : "intermediate" }, { "name" : "Fund accounting", "level" : "intermediate" }, { "name" : "Fee accruals", "level" : "intermediate" }, { "name" : "Valuation principles", "level" : "intermediate" }, { "name" : "NAV verification", "level" : "intermediate" }, { "name" : "Distribution reconciliation", "level" : "intermediate" }, { "name" : "Oversight log maintenance", "level" : "intermediate" }, { "name" : "Data flow control", "level" : "intermediate" }, { "name" : "Technical discrepancy resolution", "level" : "intermediate" }, { "name" : "Internal control", "level" : "intermediate" }, { "name" : "SOP maintenance", "level" : "intermediate" }, { "name" : "Risk reporting", "level" : "intermediate" }, { "name" : "Financial oversight", "level" : "intermediate" } ], "majorSkills" : "Risk Management, Fund Reporting, Regulatory Compliance, Third-Party Oversight", "majorSkillsList" : [ "Risk Management", "Fund Reporting", "Regulatory Compliance", "Third-Party Oversight" ], "coreResponsibilities" : "Maintain Risk Management Policy, Maintain risk limits, Maintain risk register, Monitor overcommitment ratios, Conduct periodic stress tests, Escalate breaches to Board, Act as AIFM's technical risk voice, Provide regular risk reporting, Escalate breaches and emerging risks, Maintain functional reporting line, Ensure Luxembourg AIFM risk framework alignment, Lead end-to-end production of AIFMD reporting, Lead end-to-end production of CSSF reporting, Lead end-to-end production of investor reporting, Lead end-to-end production of fund-level reporting, Monitor changes in regulatory standards, Monitor changes in accounting standards, Drive annual audit process, Lead relationship with external auditors, Provide technical sign-off on accounting treatments, Provide technical sign-off on fee accruals, Provide technical sign-off on valuation methodologies, Perform second-level controls over Fund Administrator, Shadow NAV, Verify management fee, Verify waterfall, Reconcile distributions, Maintain Oversight Log, Function as part of Four Eyes team, Provide independent challenge to third-party providers, Manage Service Level Agreements, Manage oversight framework with Fund Administrator, Control daily data flows, Resolve technical discrepancies, Maintain internal Control Framework, Update internal Control Framework, Partner with AI teams, Partner with R&D teams, Govern AI-augmented fund controlling tools, Govern AI-augmented fund reporting tools, Ensure AI tools grounded in regulatory reality, Ensure human-in-the-loop checkpoints for regulated outputs", "teamCollaboration" : "Working with Portfolio Manager; Coordination with Senior Risk Officer; Partner with AI teams; Partner with R&D teams; Work with engineering teams; Work with AI teams", "domainKnowledge" : "Private markets; AIFMD risk management; AIFMD reporting; CSSF reporting; SFDR disclosures; Lux GAAP; IFRS; Fund waterfall mechanics; PE valuation principles; Private Equity; Real Estate", "domainList" : [ "private-markets", "aifmd-risk-management", "aifmd-reporting", "cssf-reporting", "sfdr-disclosures", "lux-gaap", "ifrs", "fund-waterfall-mechanics", "pe-valuation-principles", "private-equity", "real-estate" ], "domainSpecificKnowledge" : [ "Private markets", "AIFMD risk management", "AIFMD reporting", "CSSF reporting", "SFDR disclosures", "Lux GAAP", "IFRS", "Fund waterfall mechanics", "PE valuation principles", "Private Equity", "Real Estate" ], "toolProficiency" : [ "Bloomberg Terminal", "Reuters Eikon", "FactSet" ], "communicationSkills" : "Board deliberations; Risk reporting; Technical sign-off; Investor communications", "documentationSkills" : "Risk Management Policy; Internal Control Framework; SOPs", "problemSolvingSkills" : "Resolve technical discrepancies; Challenge fund administrator NAV", "qualificationsBasic" : "5+ years Risk Management, Master's degree, Professionally qualified accountant, Working knowledge AIFMD risk management, Hands-on experience stress testing, Hands-on experience liquidity risk, Expert knowledge Lux GAAP, Expert knowledge IFRS, Expert knowledge fund waterfall, Expert knowledge fee accruals, Expert knowledge PE valuation, Designed or run Risk framework, Designed or run Oversight framework, Proven track record holding fund administrators, Experience working with engineering teams, Experience working with AI teams", "qualificationsPreferred" : "Risk management certifications, AI-native mindset", "rawDescription" : "Join the team rewriting the rules in private markets. Moonfare delivers what few others can: the highly sought-after funds and hidden-gem investments that go beyond what most private banks offer. Every opportunity is subjected to a ruthless vetting process; the bar is unforgivingly high. The result? Institutional-quality portfolios for investors who demand more. Our team combines finance veterans with talent from tech, consulting, law and industries you'd never expect. Headquartered in Berlin, we operate from eight offices across Europe, the US and Asia. If you're ready to build what's next in private markets, let's talk. Risk maintain the Risk Management Policy, risk limits, and risk register Monitor overcommitment ratios as a liquidity risk exposure against the limits set by the Investment Committee, conduct periodic stress tests including call coverage scenarios, escalate breaches to the Board, and act as the AIFM's technical risk voice in board deliberations, working in close coordination with the Portfolio Manager Provide regular risk reporting to the Managing Director and Board, with clear escalation of breaches and emerging risks, and maintain a functional reporting line to the Senior Risk Officer at Berlin HQ with direct escalation rights for material risk breaches, ensuring the Luxembourg AIFM's risk framework is aligned with, and where appropriate contributes to, Moonfare's Risk Management Framework, risk appetite, and consolidated risk reporting Fund Reporting & Audit Leadership Lead the end-to-end production of AIFMD, CSSF, investor, and fund-level regulatory reporting cycles, owning the accuracy of every submission before the Managing Director signs, and monitoring changes in Luxembourgish and European regulatory and accounting standards Drive the annual audit process for the Luxembourg fund range: lead the relationship with our external auditors and provide technical sign-off on accounting treatments, fee accruals, and valuation methodologies Perform rigorous second-level controls over our Fund Administrator: NAV shadowing, management fee and waterfall verification, distribution reconciliation, and maintenance of the Oversight Log of challenges and corrections Third-Party Oversight & SME Leadership Function as part of the Four Eyes team that provides the mandatory independent challenge to third-party providers, ensuring no material output from a delegate is accepted without independent verification, and manage the Service Level Agreements (SLAs) and oversight framework with the Fund Administrator, controlling daily data flows and resolving technical discrepancies Maintain and update the internal Control Framework (SOPs) for risk and financial oversight Partner with AI and R&D as the SME for risk and reporting, governing AI-augmented fund controlling and reporting tools built by the Fund Operations Services team and ensuring they are grounded in regulatory reality, with clear human-in-the-loop checkpoints for regulated outputs The Next Moonfarian: Experience: 5+ years in Risk Management within an AIFM/ManCo, Fund Accounting Oversight, Fund Audit (Big 4), or a similar technical control role within the Luxembourg Private Equity or Real Estate sector Education: Master's degree in Accounting, Finance, Risk Management, or a related field Qualifications: Professionally qualified accountant (ACCA, CPA, IRE, or equivalent). Risk management certifications (FRM, PRM) are a plus Regulatory fluency: Working knowledge of AIFMD risk management requirements (Articles 14-16 and the equivalent expectations applied at sub-threshold), AIFMD/CSSF reporting cycles (Annex IV, SFDR disclosures), and hands-on experience with stress testing and liquidity risk frameworks Technical depth: Expert knowledge of Lux GAAP, IFRS, fund waterfall mechanics, fee accruals, and PE valuation principles. You can challenge a fund administrator's NAV pack line by line Control function ownership: You have designed or run a Risk or Oversight framework, not just operated within one, and you instinctively protect the functional separation between Risk Management and Portfolio Management in every interaction Vendor and delegate oversight: Proven track record holding fund administrators to high operational standards through SLAs, oversight logs, and structured governance, without paralysing the engine Compliant creativity: You treat regulation as a design constraint to engineer around, not a wall to hide behind. You find efficient paths to regulatory accuracy at scale and earn the trust of the Fund Operations Services team by enabling what they build, not blocking it AI-native mindset: You evaluate every recurring control through the lens of \"should a human still be doing this?\" You have hands-on experience working with engineering and AI teams to translate risk and reporting logic into automated controls in a regulated context If you feel you do not meet all of the requirements, we still encourage you to apply! Invest in Yourself: Ownership and Impact: you are empowered to bring ideas, make decisions, and see your work directly contribute to Moonfare's success. Transparent Environment: we believe in open communication. You will receive regular updates on company strategy, performance against our KPIs, and key business decisions. Personal Growth: we support your development with an individual growth budget of €1,500 or 2% of your base salary (whichever is higher). Relax and Recharge: you start with 26 vacation days and receive one additional day for each year of tenure, up to a maximum of 30 days. Daily Lunch: enjoy a free lunch every day in our Luxembourg office, using our Sodexo Vouchers A Culture of Excellence: join a team of ambitious, smart, and committed professionals who are passionate about revolutionising private market investing. Our Values: Client-Centric Focus: our clients come first, Moonfare comes second, and we prioritise ourselves third. Putting clients first means creating value for them is essential. Placing Moonfare second signifies that our individual professional future at Moonfare depends on the company's commercial success. Prioritising ourselves third reflects our humility in putting clients and Moonfare before personal interests. Commitment to Excellence: we pursue excellence and honour our promises. We hold ourselves to the highest standards, taking responsibility for our failures, and celebrating our successes. We commit to deadlines and stick to them, and we learn from our mistakes. Win together: we are here to win and to celebrate our collective achievements. We are mission-focused and think and act like owners. We exemplify the attitude we expect, and each of us commits to do what it takes to succeed. Growth and Merit: we foster personal growth, but each of us earns our place as a Moonfarian through merit. We hire, retain, and develop exceptional people and invest in empowering them to excel. We must all earn our place at the table every day. We understand the important role that diversity plays in our success. Different backgrounds, experiences and ideas push us further and raise the bar. We're committed to developing an inclusive and safe culture where everyone — regardless of colour, race, religion, sex, origin, sexuality, disability, marital status, citizenship or gender identity — knows that they are an integral part of the team and can bring their full potential to their work. *Minimum investments vary according to jurisdiction.", "summaryDescription" : "Risk & Fund Reporting Manager at Moonfare. Skills: Risk Management, Fund Reporting, Regulatory Compliance, Third-Party Oversight. Maintain Risk Management Policy. Maintain risk limits", "postedDate" : "2026-06-13T20:14:43.253", "createdAt" : "2026-06-13T20:14:43.253", "lastUpdated" : "2026-06-15T04:45:42.773", "ingestTimestamp" : "2026-06-13T20:14:43.253", "mongoId" : "6a2c6b2d74d8ee00a0910939", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Liquidity risk", "Stress testing", "Fund accounting", "Fee accruals", "Valuation principles", "NAV verification", "Distribution reconciliation", "Oversight log maintenance", "Data flow control", "Technical discrepancy resolution", "Internal control", "SOP maintenance", "Risk reporting", "Financial oversight", "Risk Management", "Fund Reporting", "Regulatory Compliance", "Third-Party Oversight", "Fund Accounting Oversight", "Fund Audit", "Technical control", "Regulatory reporting", "Audit process leadership", "Second-level controls", "Third-party oversight", "SME leadership", "Control framework maintenance", "AI-augmented fund controlling", "AI-augmented reporting", "Service Level Agreements", "Oversight framework", "Private markets", "AIFMD risk management", "AIFMD reporting", "CSSF reporting", "SFDR disclosures", "Lux GAAP", "IFRS", "Fund waterfall mechanics", "PE valuation principles", "Private Equity", "Real Estate", "ACCA", "CPA", "IRE", "FRM", "PRM", "Bloomberg Terminal", "Reuters Eikon", "FactSet" ], "skillCount" : 50, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 1403.1555, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6a9f74d8ee00a090cf14", "title" : "Risk Data Scientist", "company" : "Forward", "industry" : "FinTech", "salary" : { "min" : 165000.0, "max" : 225000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Risk Data Scientist in Austin, United States, adjusted for the FinTech industry and company size." }, "location" : "Austin, Texas, United States", "locations" : [ "Austin", "Texas", "United States" ], "timestamp" : "2026-06-15T06:44:23.751", "fingerprint" : "7b31631d5a65432e3e90e08261830360830c11bd1fc480cf1a87ba967628b397", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://getfwd.com/careers?gh_jid=5129597007", "externalId" : "5129597007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, R, Spark, Snowflake, Gradient Boosting, XGBoost, LightGBM, Graph Neural Networks, GNN, Autoencoders, Isolation Forests, Machine Learning, ML architecture, ML governance", "professionalSkills" : [ "Model governance", "Regulatory fluency", "Applied ML", "Risk management", "Data engineering", "Feature engineering", "Model deployment", "Model monitoring", "Model validation", "Problem framing", "Decisioning", "Risk scoring", "Fraud detection", "Anomaly detection", "Transaction monitoring", "AML", "SAR prioritization", "Explainability", "Compliance" ], "hardSkillsList" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Quantitative analysis", "Risk assessment", "Data analysis", "Feature engineering", "Model training", "Model validation", "Model deployment", "Model monitoring", "Regulatory governance", "SHAP explainability", "ECOA rules", "Adverse action rules", "Transaction scoring", "Card testing detection", "Behavioral baseline models", "Portfolio exposure models", "Unsupervised learning", "Supervised learning", "Rule-based systems", "Alert prioritization", "Money laundering typologies", "Structuring detection", "Temporal sequencing", "Co-occurrence patterns", "Performance metrics", "Latency targets", "Precision", "Recall", "Champion challenger testing", "Training serving consistency", "Data leakage" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "BI platforms", "level" : "intermediate" }, { "name" : "Cloud data stacks", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" }, { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Risk assessment", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Feature engineering", "level" : "intermediate" }, { "name" : "Model training", "level" : "intermediate" }, { "name" : "Model validation", "level" : "intermediate" }, { "name" : "Model deployment", "level" : "intermediate" }, { "name" : "Model monitoring", "level" : "intermediate" }, { "name" : "Regulatory governance", "level" : "intermediate" }, { "name" : "SHAP explainability", "level" : "intermediate" }, { "name" : "ECOA rules", "level" : "intermediate" }, { "name" : "Adverse action rules", "level" : "intermediate" }, { "name" : "Transaction scoring", "level" : "intermediate" }, { "name" : "Card testing detection", "level" : "intermediate" }, { "name" : "Behavioral baseline models", "level" : "intermediate" }, { "name" : "Portfolio exposure models", "level" : "intermediate" }, { "name" : "Unsupervised learning", "level" : "intermediate" }, { "name" : "Supervised learning", "level" : "intermediate" }, { "name" : "Rule-based systems", "level" : "intermediate" }, { "name" : "Alert prioritization", "level" : "intermediate" }, { "name" : "Money laundering typologies", "level" : "intermediate" }, { "name" : "Structuring detection", "level" : "intermediate" }, { "name" : "Temporal sequencing", "level" : "intermediate" }, { "name" : "Co-occurrence patterns", "level" : "intermediate" }, { "name" : "Performance metrics", "level" : "intermediate" }, { "name" : "Latency targets", "level" : "intermediate" }, { "name" : "Precision", "level" : "intermediate" }, { "name" : "Recall", "level" : "intermediate" }, { "name" : "Champion challenger testing", "level" : "intermediate" }, { "name" : "Training serving consistency", "level" : "intermediate" }, { "name" : "Data leakage", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, Risk Modeling, Fraud Detection, AML", "majorSkillsList" : [ "Machine Learning", "Risk Modeling", "Fraud Detection", "AML" ], "coreResponsibilities" : "Build model-driven intelligence layer, Replace static rules with adaptive decisioning, Own full modeling lifecycle, Define ML architecture, Build model governance framework, Set standard for ML use, Build merchant risk scoring model, Drive tier assignment for merchant applications, Design vertical-specific scoring variants, Build bust-out fraud detection models, Use GNN approaches for ring detection, Integrate model scores into rules, Measure outcomes in business terms, Build real-time transaction fraud scoring, Design feature engineering architecture, Build card testing detection models, Develop merchant behavioral baseline models, Build portfolio-level exposure models, Use unsupervised approaches for fraud typologies, Partner with Compliance team, Evolve rule-based monitoring to hybrid system, Build SAR prioritization models, Build structuring detection models", "teamCollaboration" : "Partner with Compliance team; Cross-functional teams", "domainKnowledge" : "Payment processing; Financial services; Regulated financial context; Merchant underwriting; Transaction fraud; AML; SAR prioritization; ECOA; Adverse action rules; Chargeback profiles; Fraud patterns; Money laundering typologies; Velocity rules; Visa/Mastercard thresholds", "domainList" : [ "payment-processing", "financial-services", "regulated-financial-context", "merchant-underwriting", "transaction-fraud", "aml", "sar-prioritization", "ecoa", "adverse-action-rules", "chargeback-profiles", "fraud-patterns", "money-laundering-typologies", "velocity-rules", "visa-mastercard-thresholds" ], "domainSpecificKnowledge" : [ "Payment processing", "Financial services", "Regulated financial context", "Merchant underwriting", "Transaction fraud", "AML", "SAR prioritization", "ECOA", "Adverse action rules", "Chargeback profiles", "Fraud patterns", "Money laundering typologies", "Velocity rules", "Visa/Mastercard thresholds" ], "toolProficiency" : [ "Taktile", "Snowflake" ], "communicationSkills" : "Executive presentations; Technical documentation", "documentationSkills" : "Model governance documentation; Architecture documentation", "continuousLearning" : "Learning & development budget; Conferences; Courses; Certifications", "innovationCreativity" : "Define ML architecture; Build model governance framework; Set standard for ML use", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Data-driven decision making", "outcomesObjectives" : "Improve measurably after model-driven decisioning; Meaningful lift within 6 months; Fraud loss rate trends down; Chargeback rates stay within thresholds; Early warning models give 30+ days lead time; False positive rate tracked; TM alert false positive rate below 40%; SAR filing timeliness is 100%; Model governance documentation current; Real-time fraud scoring under 100ms latency; Automated and safe model deployment; No production promotion without validated performance; Training-serving consistency guaranteed; No data leakage in training sets; Modeling architecture documented and transferable", "qualificationsBasic" : "5+ years experience, Bachelor's degree, SQL proficiency, Experience with ML modeling", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "workSiteFlexibility" : "Flexible", "rawDescription" : "About the Role Forward processes payments for thousands of merchants across dozens of partner platforms. The Risk Data Scientist's job is to build the model-driven intelligence layer that replaces static rules with adaptive, evidence-based decisioning across three risk domains: merchant underwriting and approval optimization, real-time transaction fraud and anomaly detection, and AML/transaction monitoring and SAR prioritization. You will own the full modeling lifecycle - from problem framing and feature engineering to training, validation, deployment, monitoring, and regulatory governance. This is applied ML in a high-stakes, regulated financial context. Models you build will directly determine approval rates, fraud loss rates, chargeback exposure, and SAR filing quality. They will be scrutinized by bank sponsors, card networks, and regulators. The work demands both technical rigor and regulatory fluency: someone who understands why a gradient boosting ensemble outperforms logistic regression on imbalanced fraud data AND why SHAP explainability is a compliance requirement under ECOA adverse action rules. Forward is early in this journey. The person who takes this role will define the ML architecture, build the model governance framework, and set the standard for how Forward uses machine learning in regulated financial services. Key Responsibilities Merchant Risk: Underwriting and Approval Rate Optimization Build and own the merchant risk scoring model - the centerpiece of Forward's move from static rules to model-based decisioning. This model drives tier assignment (auto-approve, conditional approve, RFI, decline) for every merchant application, replacing hand-coded thresholds with evidence-based probability scores. Design vertical-specific scoring variants for contractor/home services, healthcare, and hospitality - each with distinct chargeback profiles, fraud patterns, and volume distribution that a single generalized model cannot capture. Build bust-out fraud detection models that catch the full behavioral arc: months of normal volume cultivating trust, followed by rapid drawdown. Use graph neural network (GNN) approaches to surface shared infrastructure - phone numbers, IP ranges, device fingerprints, bank accounts - across seemingly unrelated merchants in the same fraud ring. At scale, GNN-based ring detection catches 40%+ more coordinated fraud than models that evaluate merchants in isolation. Integrate model scores as dynamic inputs to Taktile rules - not as replacements for rules, but as continuous risk signals that allow thresholds to flex based on model confidence. A merchant with a 95% confidence clean score should not face the same velocity friction as one at 60%. Measure outcomes in business terms: approval rate lift, false positive rate reduction, and chargeback rate per merchant segment vs. Visa/Mastercard program thresholds. Transaction Risk: Real-Time Fraud and Anomaly Detection Build real-time transaction fraud scoring that operates within the authorization window: sub-100ms latency from scoring request to decisioning output. Design the feature engineering architecture - feature store, pre-computed signals, streaming aggregations - that makes this latency target achievable on Forward's Snowflake-based stack. Build card testing detection models using high-frequency, low-value authorization pattern recognition - with explicitly defined precision and recall targets. Flag the pattern before the fraudster pivots to high-value transactions. Develop merchant behavioral baseline models that detect deviations before they become losses: MCC drift, refund rate spikes, chargeback ratio changes, velocity anomalies, and settlement manipulation patterns. Build portfolio-level exposure models that surface correlated risk across the merchant book before it crystallizes into loss events. Use unsupervised approaches - isolation forests, autoencoders - for emerging fraud typologies that have no labeled training data yet, layered alongside supervised models for known patterns. Unknown unknowns are where bust-out fraud lives before it gets named. AML and Transaction Monitoring Partner with the Compliance team to evolve rule-based transaction monitoring into a hybrid system: rules for explainability and auditability, ML for alert prioritization, coverage, and signal quality. Build SAR prioritization models that score open TM alerts by money laundering typology risk - enabling analyst triage to focus on highest-risk cases first. The industry baseline for AML false positive rates is 50-90%. The target here is below 40%, achieved through model-driven scoring rather than alert volume alone. Build structuring detection models that complement velocity rules with behavioral pattern recognition: temporal sequencing, counterparty relationships, amount clustering, and network-level coordination signals. Own the quantitative side of SAR quality: alert-to-SAR conversion rate, filing timeliness (regulatory deadline: 30 days from identifying reportable activity), and case investigation time - from hours toward minutes via ML-assisted triage. Build chargeback propensity models at merchant and transaction level - predict likelihood of dispute before it occurs, enabling proactive intervention and reserve adjustment rather than post-facto loss absorption. Create early warning indicators for merchants approaching Visa/Mastercard chargeback program thresholds (1% standard, 1.5% excessive), with 30+ days of lead time for intervention. Model Governance and Regulatory Compliance Own the model risk management framework for every model you deploy - compliant with the April 2026 revised interagency guidance (the update to SR 11-7 issued by the OCC, Federal Reserve, and FDIC): model inventory and ownership documentation, validation standards, performance monitoring protocols, and retraining triggers. Implement explainability for every model in production: SHAP or LIME-based feature contribution analysis for ECOA adverse action compliance. If a merchant application is declined or a transaction is flagged, the reason must be expressible in human-understandable terms. \"The algorithm decided\" is legally indefensible. Build champion/challenger testing infrastructure: new model versions run in shadow mode, outcomes tracked, performance compared against the incumbent before any threshold change goes live. Document bias testing and fairness analysis for underwriting models: disparate impact analysis, false positive rate parity across merchant segments, and mitigation strategies - required for CFPB/ECOA compliance and bank sponsor disclosure. Work directly with bank sponsors (CRB, Fiserv) on model disclosure: architecture documentation, validation evidence, and performance reporting that satisfies sponsor audit requirements. MLOps and Model Infrastructure Own the full model deployment lifecycle: model versioning and experiment tracking (MLflow or equivalent), CI/CD pipeline for model promotion, serving infrastructure for real-time scoring, and monitoring for performance drift, feature drift, and calibration decay. Design the real-time feature pipeline architecture: define which features are pre-computed and cached (velocity counters, behavioral baselines), which are served from a feature store (Tecton, Feast, or equivalent), and how training and serving features stay consistent to eliminate training-serving skew. Build automated alerting for model performance degradation: precision/recall decline, calibration drift, feature distribution shifts, and anomalous alert volume spikes that signal input data has changed. Define retraining protocols for each model: what triggers a retrain, how training data is constructed with point-in-time correctness, and how the new version is validated before promotion. Data Pipelines and Warehouse Design, build, and maintain data pipelines that feed model training and serving: batch ETL from Snowflake for historical training lookbacks, and streaming pipelines for real-time feature computation on transaction events. Build and maintain training data infrastructure: labeled fraud datasets, outcome tracking (what happened to each flagged merchant or transaction?), and point-in-time feature retrieval that prevents data leakage in training. Implement data quality monitoring, schema validation, and lineage tracking across all pipelines - a regulatory auditability requirement, not optional engineering hygiene. Required Qualifications 4+ years in data science or machine learning with a track record of building and deploying fraud detection, credit risk, or anomaly detection models in production - not just in notebooks. Deep experience with gradient boosting frameworks (XGBoost, LightGBM, CatBoost) and ensemble methods on severely imbalanced financial datasets, including class imbalance handling via SMOTE, cost-sensitive weighting, and threshold calibration. Strong statistical grounding: AUC-PR vs. AUC-ROC trade-offs, calibration requirements for probability outputs, and hypothesis testing for model comparison and threshold selection. Ability to build explainable, auditable models: SHAP, LIME, feature importance analysis, and familiarity with ECOA adverse action requirements for ML-driven decisions in regulated contexts. Strong Python and SQL at production scale - not just model training, but feature engineering, pipeline development, and Snowflake query optimization. Experience integrating ML model outputs into rules engines or decisioning systems: scores as inputs that modify rule behavior, not standalone decisions that bypass audit trails. Familiarity with ML model governance: documentation requirements, validation protocols, performance monitoring, and retraining discipline. Preferred Qualifications Real-time fraud scoring infrastructure experience: feature stores (Tecton, Feast, or equivalent), model serving frameworks (Ray Serve, KServe, or similar), and sub-100ms latency architecture design. Graph neural network (GNN) or graph-based entity relationship analysis for fraud ring detection. BSA/AML modeling: transaction monitoring, structuring detection, SAR prioritization models. Familiarity with SR 11-7 / April 2026 revised interagency model risk management guidance, or equivalent regulated financial institution model governance frameworks. ECOA adverse action explainability and CFPB compliance context. PFAC, acquiring, or payment processor domain knowledge: chargeback mechanics, Visa/Mastercard program thresholds, card network rules, and acquirer reserve management. MLOps tooling: MLflow, SageMaker, Vertex AI; model registry, experiment tracking, and automated retraining pipelines. Snowflake (Snowpark, query optimization, Snowpipe), dbt, and streaming frameworks (Kafka, Flink, Spark Structured Streaming). What Success Looks Like Model Performance Fraud detection models operate with explicitly set precision and recall targets - AUC-PR is the primary model quality metric, not overall accuracy on an imbalanced dataset. Model calibration is verified: a score of 70% fraud risk corresponds to approximately 70% actual fraud rate. Analysts and compliance teams can trust the probability outputs. Feature drift and model performance degradation are detected automatically - not discovered via a chargeback spike or a partner escalation. Business Outcomes Merchant approval rate improves measurably after model-driven decisioning replaces static rule thresholds - target: meaningful lift within 6 months of first model deployment, without a corresponding increase in loss rate. Fraud loss rate (BPS of GPV) trends down quarter-over-quarter across the merchant book. Chargeback rates stay within Visa/Mastercard program thresholds for all merchant segments, with early warning models giving 30+ days of lead time before a merchant crosses a threshold. False positive rate is tracked as a first-class business metric: declined legitimate transactions are a revenue and customer friction cost, not an acceptable side effect of risk management. AML and Compliance TM alert false positive rate moves from the industry baseline of 50-90% toward a target below 40%, enabling analysts to spend time on real risk. SAR filing timeliness is 100%: every identified reportable activity is filed within the 30-day regulatory deadline. Model governance documentation is current, complete, and audit-ready - no scramble when a bank sponsor requests model disclosure. Architecture and Scale Real-time fraud scoring operates within the authorization window: p95 latency under 100ms end-to-end. Model deployment is automated and safe: champion/challenger testing in place, no production promotion without validated performance evidence. Training-serving consistency is guaranteed: features at prediction time match features used in training, with no data leakage in historical training sets. The modeling architecture is documented and transferable - Forward's ML capability does not depend on any single person to operate. What We Offer Competitive salary and equity package. Comprehensive health, dental, and vision benefits. Flexible work arrangements and generous PTO. Learning & development budget for conferences, courses, and certifications. The opportunity to define the ML architecture and model governance standard at a payments company scaling 45x - building from rules-based to model-driven decisioning across merchant risk, real-time transaction fraud, and AML. Location Austin, TX", "summaryDescription" : "Risk Data Scientist at Forward. Skills: Machine Learning, Risk Modeling, Fraud Detection, AML. Build model-driven intelligence layer. Replace static rules with adaptive decisioning", "postedDate" : "2026-06-13T20:09:29.351", "createdAt" : "2026-06-13T20:09:29.351", "lastUpdated" : "2026-06-15T06:44:23.751", "ingestTimestamp" : "2026-06-13T20:09:29.351", "mongoId" : "6a2c6a9f74d8ee00a090cf14", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 165000, "salaryAnnualMax" : 225000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Quantitative analysis", "Risk assessment", "Data analysis", "Feature engineering", "Model training", "Model validation", "Model deployment", "Model monitoring", "Regulatory governance", "SHAP explainability", "ECOA rules", "Adverse action rules", "Transaction scoring", "Card testing detection", "Behavioral baseline models", "Portfolio exposure models", "Unsupervised learning", "Supervised learning", "Rule-based systems", "Alert prioritization", "Money laundering typologies", "Structuring detection", "Temporal sequencing", "Co-occurrence patterns", "Performance metrics", "Latency targets", "Precision", "Recall", "Champion challenger testing", "Training serving consistency", "Data leakage", "Machine Learning", "Risk Modeling", "Fraud Detection", "AML", "Model governance", "Regulatory fluency", "Applied ML", "Risk management", "Data engineering", "Problem framing", "Decisioning", "Risk scoring", "Fraud detection", "Anomaly detection", "Transaction monitoring", "SAR prioritization", "Explainability", "Compliance", "Payment processing", "Financial services", "Regulated financial context", "Merchant underwriting", "Transaction fraud", "ECOA", "Chargeback profiles", "Fraud patterns", "Velocity rules", "Visa/Mastercard thresholds", "Taktile", "Snowflake" ], "skillCount" : 66, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 1336.5328, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2a660d74d8ee00a062bbc2", "title" : "Sr Risk Associate", "company" : "Amazon Pay (India) Private Limited", "industry" : "Corporate Operations, Risk Family, Retail", "salary" : { "min" : 2200000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Risk Associate in FinTech in Bengaluru, India, adjusted for Amazon's company size and industry." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "certifications" : [ "ACAMS certification" ], "timestamp" : "2026-06-15T08:06:17.415", "fingerprint" : "97ec6c46c7b7b6ebbbf0e286d2126763bcf8cbb2c2e423dabeb18e04e2c039a3", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10442101/apply", "externalId" : "1cff2967-1154-43ce-897f-de05517c467d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Risk management", "Compliance management" ], "hardSkillsList" : [ "Transaction monitoring", "Suspicious transaction reporting", "Regulatory reporting", "Customer risk categorization" ], "hardSkills" : [ { "name" : "Transaction monitoring", "level" : "intermediate" }, { "name" : "Suspicious transaction reporting", "level" : "intermediate" }, { "name" : "Regulatory reporting", "level" : "intermediate" }, { "name" : "Customer risk categorization", "level" : "intermediate" } ], "majorSkills" : "AML, Risk, Compliance", "majorSkillsList" : [ "AML", "Risk", "Compliance" ], "coreResponsibilities" : "Review of potential suspicious transactions, Conduct deep dives, Suspicious transaction reporting (STR) templatization, File suspicious transaction reports, Handle inquiries received from regulators, Allocate and track AML trainings, Manage customer risk categorization process, Track adherence to defined AML transaction monitoring process", "domainKnowledge" : "Anti-Money Laundering (AML); Payment systems", "domainList" : [ "anti-money-laundering-aml", "payment-systems" ], "domainSpecificKnowledge" : [ "Anti-Money Laundering (AML)", "Payment systems" ], "documentationSkills" : "Suspicious transaction reporting", "problemSolvingSkills" : "Deep dives", "qualificationsBasic" : "Bachelor's degree, Speak, write, and read fluently in English, Experience with Microsoft Office products and applications, Experience with Excel", "qualificationsPreferred" : "Experience in Anti-Money Laundering (AML), sanctions, fraud, or risk management, ACAMS certification", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "This role is for Sr Risk Analyst who will play a critical role in AML transaction monitoring process and will be responsible for review of escalated alerts and filing suspicious transaction reports with the reporting authorities. The incumbent will report directly to the Sr Risk Manager. The Job will entail the following: a. Review of potential suspicious transactions and conducting deep dives b. Suspicious transaction reporting (STR) templatization for onward filing to regulators c. handling of inquiries received from regulators d. allocation and tracking of AML trainings e. managing customer risk categorization process f. tracking adherence to defined AML transaction monitoring process Risk and Compliance continue to evolve and incumbent could be expected to work and manage new programs as per organizational priority. About the team Our vision is to make Amazon Pay as the most trusted, convenient and rewarding Payment Experience. Given the highly sensitive nature of Payments business, it is imperative to have robust Risk and Compliance function, to ensure adherence to regulatory compliance and risk management and that's where Risk and Compliance Solutions (RCS) fits in. Risk and Compliance Solutions (RCS) is responsible for operational and compliance risk management for all functions within Amazon Pay. The function is responsible for setting strong operational risk management framework, risk identification, assessment and continuous monitoring framework. In addition, the function also manages key regulatory compliance functions such as regulatory reporting, Anti money laundering program, External Audit engagements, and Governances. Basic Qualifications: - Bachelor's degree - Speak, write, and read fluently in English - Experience with Microsoft Office products and applications - Experience with Excel Preferred Qualifications: - Experience in Anti-Money Laundering (AML), sanctions, fraud, or risk management - ACAMS certification Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Sr Risk Associate at Amazon Pay (India) Private Limited. Skills: AML, Risk, Compliance. Review of potential suspicious transactions. Conduct deep dives", "postedDate" : "2026-06-13T19:26:01.562", "createdAt" : "2026-06-13T19:26:01.562", "lastUpdated" : "2026-06-15T08:06:17.415", "ingestTimestamp" : "2026-06-13T19:26:01.562", "mongoId" : "6a2a660d74d8ee00a062bbc2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10442101/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Transaction monitoring", "Suspicious transaction reporting", "Regulatory reporting", "Customer risk categorization", "AML", "Risk", "Compliance", "Risk management", "Compliance management", "Anti-Money Laundering (AML)", "Payment systems", "ACAMS certification" ], "skillCount" : 12, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 1326.4404, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "68b706957fc9a711f0f6eda5", "title" : "Sr Risk Associate, Risk and Compliance Solutions", "company" : "Amazon Pay (India) Private Limited", "industry" : "Corporate Operations, Risk Family, Retail", "salary" : { "min" : 2200000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Risk Associate in FinTech in Bengaluru, India, adjusted for company size and seniority." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-15T09:56:07.645", "fingerprint" : "7326161a1694f4e52f70844cd221efc076f22b400a15dab023643a0a08f73461", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3070457/apply", "externalId" : "622436e1-ee37-4c10-ab98-05c814ccfc59", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Excel, SQL", "professionalSkills" : [ "Risk management", "Compliance management", "Transaction monitoring", "Regulatory reporting", "Anti money laundering" ], "hardSkillsList" : [ "Suspicious transaction reporting", "Customer risk categorization" ], "hardSkills" : [ { "name" : "Suspicious transaction reporting", "level" : "intermediate" }, { "name" : "Customer risk categorization", "level" : "intermediate" } ], "majorSkills" : "Risk and Compliance, AML transaction monitoring", "majorSkillsList" : [ "Risk and Compliance", "AML transaction monitoring" ], "coreResponsibilities" : "Review potential suspicious transactions, Conduct deep dives, Suspicious transaction reporting templatization, File suspicious transaction reports, Handle inquiries from regulators, Allocate AML trainings, Track AML trainings, Manage customer risk categorization process, Track adherence to AML transaction monitoring process", "domainKnowledge" : "Anti money laundering; Regulatory compliance", "domainList" : [ "anti-money-laundering", "regulatory-compliance" ], "domainSpecificKnowledge" : [ "Anti money laundering", "Regulatory compliance" ], "toolProficiency" : [ "Microsoft Office" ], "documentationSkills" : "Suspicious transaction reporting", "problemSolvingSkills" : "Deep dives", "qualificationsBasic" : "Bachelor's degree, Speak, write, and read fluently in English, Experience with Microsoft Office products and applications, Experience with Excel", "qualificationsPreferred" : "Experience in regulatory compliance management with government agencies, Experience in data-driven business operations processes, SQL knowledge", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Our vision is to make Amazon Pay as the most trusted, convenient and rewarding Payment Experience. Given the highly sensitive nature of Payments business, it is imperative to have robust Risk and Compliance function, to ensure adherence to regulatory compliance and risk management and that's where Risk and Compliance Solutions (RCS) fits in. Risk and Compliance Solutions (RCS) is responsible for operational and compliance risk management for all functions within Amazon Pay. The function is responsible for setting strong operational risk management framework, risk identification, assessment and continuous monitoring framework. In addition, the function also manages key regulatory compliance functions such as regulatory reporting, Anti money laundering program, External Audit engagements, and Governances. This role is for Sr Risk Analyst who will play a critical role in AML transaction monitoring process and will be responsible for review of escalated alerts and filing suspicious transaction reports with the reporting authorities. The incumbent will report directly to the Sr Risk Manager. The Job will entail the following: a. Review of potential suspicious transactions and conducting deep dives b. Suspicious transaction reporting (STR) templatization for onward filing to regulators c. handling of inquiries received from regulators d. allocation and tracking of AML trainings e. managing customer risk categorization process f. tracking adherence to defined AML transaction monitoring process Risk and Compliance continue to evolve and incumbent could be expected to work and manage new programs as per organizational priority. Basic Qualifications: - Bachelor's degree - Speak, write, and read fluently in English - Experience with Microsoft Office products and applications - Experience with Excel Preferred Qualifications: - Experience in regulatory compliance management with government agencies - Experience in data-driven business operations processes - SQL knowledge Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Sr Risk Associate, Risk and Compliance Solutions at Amazon Pay (India) Private Limited. Skills: Risk and Compliance, AML transaction monitoring. Review potential suspicious transactions. Conduct deep dives", "postedDate" : "2026-06-13T15:34:09.574", "createdAt" : "2026-06-13T15:34:09.574", "lastUpdated" : "2026-06-15T09:56:07.645", "ingestTimestamp" : "2026-06-13T15:34:09.574", "mongoId" : "68b706957fc9a711f0f6eda5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3070457/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Suspicious transaction reporting", "Customer risk categorization", "Risk and Compliance", "AML transaction monitoring", "Risk management", "Compliance management", "Transaction monitoring", "Regulatory reporting", "Anti money laundering", "Regulatory compliance", "Microsoft Office" ], "skillCount" : 11, "jobCategory" : "operations", "dataQualityScore" : 1.0, "_score" : 1295.5665, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services" }, { "id" : "6a2c8ba174d8ee00a097348a", "title" : "Senior Data Scientist, Risk", "company" : "Found", "industry" : "Data", "salary" : { "min" : 163000.0, "max" : 225000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Francisco, New York or Remote (USA)", "locations" : [ "San Francisco, New York or Remote (USA)" ], "timestamp" : "2026-06-15T06:42:42.475", "fingerprint" : "0665dfb54b5b8cab6473d046c4c17e1576b1d90394ebf939a5d497aa47634f76", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Found/50b62bd2-d19a-4e32-b690-f745df5c3946/application", "externalId" : "50b62bd2-d19a-4e32-b690-f745df5c3946", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" }, { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" }, { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "San Francisco, California, United States; New York, New York, United States; United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python", "professionalSkills" : [ "Risk assessment", "Strategic planning", "Process optimization" ], "hardSkillsList" : [ "Financial data analysis", "Transaction pattern analysis", "User behavior analysis" ], "hardSkills" : [ { "name" : "Financial data analysis", "level" : "intermediate" }, { "name" : "Transaction pattern analysis", "level" : "intermediate" }, { "name" : "User behavior analysis", "level" : "intermediate" } ], "majorSkills" : "Risk management, Data analysis, Machine learning", "majorSkillsList" : [ "Risk management", "Data analysis", "Machine learning" ], "teamCollaboration" : "Cross-functional teams; Product teams; Engineering teams; Data Science teams; Operations teams", "domainKnowledge" : "Financial risk; Operational risk; Credit risk; Fraud risk; Compliance risk; Fintech environment", "domainList" : [ "financial-risk", "operational-risk", "credit-risk", "fraud-risk", "compliance-risk", "fintech-environment" ], "domainSpecificKnowledge" : [ "Financial risk", "Operational risk", "Credit risk", "Fraud risk", "Compliance risk", "Fintech environment" ], "communicationSkills" : "Articulate complex issues; Articulate recommendations", "problemSolvingSkills" : "Derive actionable insights", "qualificationsBasic" : "5+ years in Analytics, 5+ years in Data Science, Analytical mindset, Working with large datasets, SQL proficiency, Python proficiency, Communication skills, Articulate complex risk issues, Articulate recommendations, Influencing cross-functional teams, Partnering with cross-functional teams", "qualificationsPreferred" : "Fintech experience, Startup experience, Risk role experience, Financial services risk role", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "ABOUT FOUND The self-employed workforce is a rapidly growing, resilient, and colorful 60 million Americans. But self-employment comes with its own set of challenges: navigating taxes, accounting, bookkeeping, and business banking are just a few. That’s where we come in. Found is building tools that give self-employed people the security and peace of mind that has historically only been possible at big corporations. We’re a business bank account that automates taxes and expense tracking because we believe small business owners should spend more time doing what they love and less time on their business finances. We’re looking for kind, resourceful, and passionate people to join us in building the safety net for self-employment. About this role: Thanks for your interest in Found! As a Risk Data Scientist at Found, you will be a key player in our Risk team, responsible for identifying, mitigating, and managing financial and operational risks across our product offerings. You will work closely with our Engineering, Data Science, Product, and Operations teams to build scalable risk controls and ensure a seamless, secure experience for our users. At Found, you won’t just answer “what happened”, you’ll be responsible for pointing the way and rallying others around what we should do next. We are looking for a highly motivated and data-driven individual who is passionate about creating a robust and efficient risk management framework in a fast-paced fintech environment. Day to day, you will: - Analyze and Assess Risk: Conduct in-depth analysis of financial data, transaction patterns, and user behavior to identify and assess potential credit, fraud, and compliance risks. - Develop and Implement Risk Controls: Partner with product, engineering and data science teams to design, build, and deploy automated risk controls and decisioning systems that balance user experience with platform safety. - Contribute to Strategic Planning: Provide valuable insights and recommendations to leadership on risk trends, policy improvements, and long-term risk strategy to support Found's growth and expansion. - Optimize Processes: Proactively identify areas for improvement in existing risk management processes and workflows, and drive initiatives to increase efficiency and scalability. To thrive in this role, you have: - 5+ years in Analytics or Data Science - A strong analytical mindset and are comfortable working with large datasets to derive actionable insights. You have experience with SQL, Python, and other analytical software. - Strong communication skills, the ability to clearly and concisely articulate complex risk issues and recommendations to both technical and non-technical audiences - Experience effectively influencing and partnering with cross-functional teams to achieve shared goals. You may also have: - Previous experience working at a fintech. - Previous startup experience. - Prior experience in risk with a fintech or financial services risk role. Compensation at Found The anticipated salary range for this role is $163,000- $225,000. The salary range listed represents the low and high end of the anticipated salary range for this position across all US locations. Within the range, individual pay is determined by several factors including job-related skills, experience, and relevant education or training. Our competitive base salary is just a piece of Found’s total compensation package. Found offers a generous benefits package to all employees see our list below or check out found.com/careers http://found.com/careers to learn more! #LI-DNI ABOUT YOU Found is built by a team that comes from a variety of backgrounds and experiences, and we firmly believe that diversity, equity, and inclusion are crucial to our success. As we grow, we’re searching for passionate and motivated team members who are excited to bring their skill set to the team and are ready to learn from others. If you are looking for a role where you will have the opportunity to make a meaningful contribution and great impact, we would love to hear from you! PERKS & BENEFITS OF FOUND (USA) - 401K, FSA, and Commuter Benefits: We offer all employees access to tax-efficient benefit options alongside competitive base compensation. - Paid parental leave: Found supports employees through all stages of life, which is why new parents employed by Found qualify for 16 weeks of flexible parental leave. - Health benefits: Comprehensive medical, dental, and vision benefits and are always 100% covered for employees, 90% covered for dependents. - Work anywhere: We have Found offices in SF and NYC. For team members who work outside those cities, Found also supports fully remote working. - Meaningful equity: Everyone on our team should feel and act like an owner, which is why Found offers industry-competitive equity to all of our employees. - Generous vacation policy: Vacations, appointments, mental health days- take the time you need. To learn more about our benefits or the team please go to found.com/careers.", "summaryDescription" : "Senior Data Scientist, Risk at Found. Skills: Risk management, Data analysis, Machine learning", "createdAt" : "2026-06-14T09:40:03.237", "lastUpdated" : "2026-06-15T06:42:42.475", "ingestTimestamp" : "2026-06-14T09:40:03.237", "mongoId" : "6a2c8ba174d8ee00a097348a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 163000, "salaryAnnualMax" : 225000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Financial data analysis", "Transaction pattern analysis", "User behavior analysis", "Risk management", "Data analysis", "Machine learning", "Risk assessment", "Strategic planning", "Process optimization", "Financial risk", "Operational risk", "Credit risk", "Fraud risk", "Compliance risk", "Fintech environment" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 1252.7505, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca13a74d8ee00a09a4caa", "title" : "Senior Data Scientist, Risk", "company" : "Mudflap", "industry" : "Data", "salary" : { "min" : 185000.0, "max" : 225000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Palo Alto, CA", "locations" : [ "Palo Alto, CA" ], "timestamp" : "2026-06-16T00:56:57.797", "fingerprint" : "b3f93a362812ae4043126b7e4520dbe88148c864fbf565a40b85df2b2bd31a82", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/mudflap/12429c90-84b3-40af-a80b-2cf332e8df8b/application", "externalId" : "12429c90-84b3-40af-a80b-2cf332e8df8b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Palo Alto", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.4443293,-122.1598465" } ], "locationText" : "Palo Alto, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, Machine Learning, A/B testing, Causal inference", "professionalSkills" : [ "Data science", "Analytics", "Risk management", "Underwriting", "Fraud detection", "Portfolio performance", "Data modeling", "Predictive modeling", "Scalable solutions" ], "hardSkillsList" : [ "Statistical analysis", "Model validation", "Performance monitoring", "Experimental design" ], "softSkillsList" : [ "Customer-obsessed", "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Model validation", "level" : "intermediate" }, { "name" : "Performance monitoring", "level" : "intermediate" }, { "name" : "Experimental design", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Customer-obsessed" }, { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Risk modeling, Fraud detection, Underwriting capabilities", "majorSkillsList" : [ "Risk modeling", "Fraud detection", "Underwriting capabilities" ], "coreResponsibilities" : "Drive strategic data science initiatives, Lead machine learning projects, Formulate problems, Deploy models to production, Develop models, Validate models, Monitor model performance, Solve business problems, Assess fraudulent risk, Underwrite customers, Segment customers, Improve portfolio performance, Drive data-driven decision making, Translate business requirements, Communicate insights to stakeholders, Mentor junior data scientists, Mentor junior analysts, Establish best practices, Provide technical leadership, Conduct code reviews, Develop data science methodologies, Develop data science standards, Lead experimentation strategy, Drive product innovation, Own A/B testing frameworks, Mentor teams on experimental design, Translate test results, Improve key business metrics", "teamCollaboration" : "Cross-functional partnerships; Product teams; Engineering teams; Risk teams; Finance teams; Executive stakeholders", "projectManagementSkills" : [ "End-to-end machine learning projects" ], "domainKnowledge" : "Credit risk; Fraud risk; Underwriting; Portfolio performance", "domainList" : [ "credit-risk", "fraud-risk", "underwriting", "portfolio-performance" ], "domainSpecificKnowledge" : [ "Credit risk", "Fraud risk", "Underwriting", "Portfolio performance" ], "toolProficiency" : [ "Python", "SQL" ], "communicationSkills" : "Present complex insights", "innovationCreativity" : "Product innovation", "problemSolvingSkills" : "Scalable risk solutions", "outcomesObjectives" : "Reduce fraud losses; Improve portfolio performance; Drive growth; Protect the business", "qualificationsBasic" : "5+ years of experience, Proficiency in SQL, Proficiency in Python, Experience building production-ready models, Experience building production-ready pipelines, Statistical knowledge, Experience designing experiments", "qualificationsPreferred" : "Experience in risk domain, Experience in growth/marketing domain, Experience in product analytics domain, PhD preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Mudflap serves the $800B trucking industry, the backbone of the U.S. economy. Our market-leading payment products help truckers save thousands of dollars on fuel (their #1 business expense), while providing our fuel stop partners with access to new, hard-to-reach customers. We’re a fast-growing marketplace business looking for a new customer-obsessed teammate to join us on this exciting journey. About the Role At Mudflap, we’re building a data-driven decision engine that powers every facet of our business—from risk management and underwriting to product innovation and operational excellence. We’re looking for a versatile Senior Data Scientist, Risk to join our high-impact team. In this role, you will develop the models, insights, and strategies that help us identify, assess, and mitigate credit and fraud risk across our platform. You’ll lead the development of underwriting capabilities, design predictive models to reduce fraud losses, and uncover opportunities to improve portfolio performance. Working closely with Product, Engineering, Risk, and Finance teams, you’ll translate complex data into scalable risk solutions that drive growth while protecting the business. Work Location: This role is based in Palo Alto, CA and involves a hybrid work approach, balancing in-office collaboration with the ability to work remotely. To support our team, we offer: - Commuter benefits to ease your travel - Lunches and snacks to keep you fueled - A collaborative, high-growth environment where you’ll work closely with talented teammates across the company What You’ll Do - Drive strategic data science initiatives that directly impact business outcomes, working closely with executive leadership to identify high-value opportunities in your domain. - Lead end-to-end machine learning projects from problem formulation through production deployment, including model development, validation, A/B testing, and performance monitoring. solve high-impact business problems such as fraudulent risk assessment, underwriting, customer segmentation, etc. - Drive data-driven decision making across cross-functional partnerships — Collaborate closely with Product, Engineering, Ops, Risk teams, etc. to translate complex business requirements into analytical solutions and communicate insights to executive stakeholders - Mentor junior data scientists and analysts and establish best practices — Provide technical leadership, code reviews, and strategic guidance while developing scalable data science methodologies and standards across the organization - Lead experimentation strategy and drive product innovation — Own end-to-end A/B testing frameworks, mentor teams on experimental design, and translate test results into actionable product improvements that directly impact key business metrics What We’re Looking For - 5+ years of experience in data science, analytics, or related fields. - Proficiency in SQL and Python for data manipulation, modeling, and automation. - Experience building production-ready models and pipelines. - Strong statistical knowledge and experience designing experiments (A/B testing, cohort analysis, causal inference). - Excellent communication skills—ability to present complex insights clearly to technical and non-technical stakeholders. - Experience in at least one of the domains: risk, growth/marketing, or product analytics preferred. - Comfortable working in a fast-paced startup environment where collaboration and flexibility are essential. Perks and Benefits (What we offer): - Competitive salary and equity in a high-growth startup - Multiple health benefit options - Responsible Time Off - 401(k) matching - Opportunities and support for major career growth - Annual Company offsite event (Mudfest!) The salary range for this role is $185,000 - 225,000. This information reflects a base salary range for this position based on current market data, which may be subject to change as new market data becomes available. The candidate's skills, experience, and other relevant factors will determine the exact compensation. Company Overview (Who we are): Mudflap is on a mission to transform the trucking and logistics industry by leveling the playing field for owner operators and small fleets. Backed by top-tier venture investors, including QED, Matrix Partners, Commerce Ventures, NFX, and 500 Startups and included in the Forbes Fintech 50 list, Mudflap offers fleet fuel management solutions. Our core team hails from Disney, Uber, Procore, DoorDash, Google, Meta, Capital One, Affirm and Brex. Here are the core values that we believe in and look for in new teammates: - Be Customer Obsessed: We deeply understand customer needs and put our customers at the center of everything we do - Make it Count: Act like an owner by focusing on the impact of your work - Find a Way: Be a creative problem solver who pushes past roadblocks to win for our customers and our teammates - Sweat the Details: We keep our standards high and achieve them by paying attention to every detail - Be Curious: Use a growth mindset to question assumptions, take calculated risks and stretch the boundaries of what’s possible", "summaryDescription" : "Senior Data Scientist, Risk at Mudflap. Skills: Risk modeling, Fraud detection, Underwriting capabilities. Drive strategic data science initiatives. Lead machine learning projects", "createdAt" : "2026-06-14T20:15:21.088", "lastUpdated" : "2026-06-16T00:56:57.797", "ingestTimestamp" : "2026-06-14T20:15:21.088", "mongoId" : "6a2ca13a74d8ee00a09a4caa", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 185000, "salaryAnnualMax" : 225000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Statistical analysis", "Model validation", "Performance monitoring", "Experimental design", "Customer-obsessed", "Leadership", "Mentoring", "Risk modeling", "Fraud detection", "Underwriting capabilities", "Data science", "Analytics", "Risk management", "Underwriting", "Portfolio performance", "Data modeling", "Predictive modeling", "Scalable solutions", "End-to-end machine learning projects", "Credit risk", "Fraud risk", "Python", "SQL" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 1250.119, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "694ae6ce70f0b99d589b27ec", "title" : "Sr. Consumer Risk Associate", "company" : "Hyundai Capital America", "industry" : "Banking", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Sr. Consumer Risk Associate in Irvine, United States, adjusted for seniority and the FinTech industry." }, "location" : "United States-California-Irvine", "locations" : [ "United States-California-Irvine", "
Headquarters 1 (HCA_HQ1)
3161 Michelson Dr. Ste 1900
Irvine, 92612

" ], "timestamp" : "2026-06-15T08:28:47.169", "fingerprint" : "9d16ba0bcd47bc8f190b2280982528aea9fb5d93b400a9a9259fa6ad344269a1", "source" : "taleo", "language" : "en", "applyUrl" : "https://hyundaicapital.taleo.net/careersection/ex/jobdetail.ftl?job=106803", "externalId" : "106803", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Irvine", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.6856969,-117.8259810" } ], "locationText" : "Irvine, California, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SAS, SQL, R, Python, Excel, Word, PowerPoint", "professionalSkills" : [ "Origination planning", "Risk management", "Business planning", "Reporting models", "Data steward" ], "hardSkillsList" : [ "Data mining", "Statistical analysis" ], "softSkillsList" : [ "Critical thinking", "Problem-solving", "Analytical" ], "hardSkills" : [ { "name" : "Data mining", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Critical thinking" }, { "name" : "Problem-solving" }, { "name" : "Analytical" } ], "majorSkills" : "Consumer risk, MEL forecasts, Data tables", "majorSkillsList" : [ "Consumer risk", "MEL forecasts", "Data tables" ], "coreResponsibilities" : "Develop annual business plan, Develop monthly re-forecasts, Monitor monthly performance, Provide variance explanations, Execute monthly reporting, Maintain code to produce MEL forecasts, Support MEL refresh remodel review, Analyze model-to-model variance, Maintain origination risk data tables, Work with CDO to maintain tables, Represent consumer risk in Edge committee meetings", "teamCollaboration" : "Work with CDO; Edge committee meetings", "domainKnowledge" : "Consumer credit; Origination risk", "domainList" : [ "consumer-credit", "origination-risk" ], "domainSpecificKnowledge" : [ "Consumer credit", "Origination risk" ], "toolProficiency" : [ "SAS", "SQL", "Microsoft Excel", "Microsoft Word", "Microsoft PowerPoint" ], "communicationSkills" : "Verbal communication; Written communication", "continuousLearning" : "Tuition reimbursement", "problemSolvingSkills" : "Analytical; Critical thinking; Problem-solving", "qualificationsBasic" : "4-6 years related work experience, SAS or SQL experience required, Bachelor's degree in Mathematics, Statistics, Economics or related quantitative field, Intermediate data mining skills using SAS or SQL, In-depth understanding of statistics and applications", "qualificationsPreferred" : "R / Python skills preferred, FP&A/Credit/Funding/Collections/Pricing background a plus", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Who We Are Through our service brands Hyundai Motor Finance, Genesis Finance, and Kia Finance, Hyundai Capital America offers a wide range of financial products tailored to meet the needs of Hyundai, Genesis, and Kia customers and dealerships. We provide vehicle financing, leasing, subscription, and insurance solutions to over 2 million consumers and businesses. Embodying our commitment to grow, innovate, and diversify, we strive to reimagine the customer and dealer experience and launch innovative new products that broaden our market reach. We believe that success comes from within and are proud to support our team members through skill development and career advancement. Hyundai Capital America is an Equal Opportunity Employer committed to creating a diverse and inclusive culture for our workforce. We are a values-driven company dedicated to supporting both internal and external communities through volunteering, philanthropy, and the empowerment of our Employee Resource Groups. Together, we strive to be the leader in financing freedom of movement. We Take Care of Our People Along with competitive pay, as an employee of HCA, you are eligible for the following benefits: · Medical, Dental and Vision plans that include no-cost and low-cost plan options · Immediate 401(k) matching and vesting · Vehicle purchase and lease discounts plus monthly vehicle allowances · Paid Volunteer Time Off with company donation to a charity of your choice · Tuition reimbursement What to Expect The Sr. Consumer Risk Associate is responsible for maintaining all origination planning, and reporting models to support annual business planning and monthly reporting needs. In addition, this role is responsible for producing MEL forecasts for originations monthly and manages / maintains all origination risk data tables. This position is critical in monitoring and controlling risk of all new and used consumer loan and lease originations. What You Will Do 1. Planning and Reporting: · Develop annual business plan and monthly re-forecasts for origination risk KPIs (30+3, Approval %, AD%, MEL %, etc.). · Monitor monthly performance to plan providing detailed variance explanations for month to month, and month to plan variances. · Execute all monthly reporting for origination risk metrics for RCC, FP&A, and global reporting needs. 2. MEL Production and Analysis: · Maintain code to produce monthly MEL forecasts. · Support annual MEL refresh remodel review/approval process with model-to-model variance analysis. 3. Origination Risk Data Steward: · Maintain consumer origination risk data tables. · Work with CDO to maintain tables and data dictionaries. · Represent consumer risk in Edge committee meetings to drive consistent data definitions across the organization. What You Will Bring · Minimum 4-6 years related work experience in a consumer credit or risk management role. · SAS or SQL experience required. · R / Python skills preferred. · FP&A/Credit/Funding/Collections/Pricing background a plus. · Bachelor’s degree in Mathematics, Statistics, Economics or related quantitative field. · Strong PC skills: Microsoft Excel, Word, and PowerPoint. · Intermediate data mining skills using SAS or SQL · An in-depth understanding of statistics and applications. · Excellent verbal and written communication skills. · Strong analytical, critical thinking and problem-solving skills. · Strong attention to detail and ability to multitask effectively. · Ability to work in a fast-paced environment and adapt quickly to changes. · Must work well in a team, be self-directed and results oriented. Work Environment Employees in this class are subject to extended periods of sitting, standing, and walking, vision to monitor and moderate noise levels. Work is performed in an at home and office environment. The posted salary range for this job takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; geographic location, and other business and organizational needs. Successful candidates may be hired anywhere in the salary range based on these factors. It is uncommon to hire candidates at or near the top of the range. California Privacy Notice This notice only applies to our applicants who reside in the State of California. The latest version of our Privacy Policy can be found here . This Privacy Policy provides you with notice, at or before the point of collection, about the categories of personal information to be collected from you, the purposes for which your personal information is collected or used, and whether that information is sold or shared, so that you can exercise meaningful control over our use of your personal information. We are providing this notice to comply with the California Consumer Privacy Act of 2018, as amended as amended by the California Privacy Rights Act of 2020 (“CCPA”). If you have any questions about CCPA regarding California residents or HCA team members, please contact the Privacy Team at Privacy2@hcs.com . United States-California-Irvine", "summaryDescription" : "Sr. Consumer Risk Associate at Hyundai Capital America. Skills: Consumer risk, MEL forecasts, Data tables. Develop annual business plan. Develop monthly re-forecasts", "createdAt" : "2026-06-14T02:41:19.853", "lastUpdated" : "2026-06-15T08:28:47.169", "ingestTimestamp" : "2026-06-14T02:41:19.853", "mongoId" : "694ae6ce70f0b99d589b27ec", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data mining", "Statistical analysis", "Critical thinking", "Problem-solving", "Analytical", "Consumer risk", "MEL forecasts", "Data tables", "Origination planning", "Risk management", "Business planning", "Reporting models", "Data steward", "Consumer credit", "Origination risk", "SAS", "SQL", "Microsoft Excel", "Microsoft Word", "Microsoft PowerPoint" ], "skillCount" : 20, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 1248.0375, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cf86c74d8ee00a0a968b2", "title" : "Senior Data Scientist, Risk", "company" : "Found", "industry" : "Data", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Senior Data Scientist, Risk in San Francisco, United States, adjusted for FinTech industry and full-time employment." }, "location" : "San Francisco, New York or Remote (USA)", "locations" : [ "San Francisco, New York or Remote (USA)" ], "timestamp" : "2026-06-15T13:42:20.574", "fingerprint" : "ff516464426c204336e298bcd7c61ca8ebdf47c9e10046fe70c6e1d947a001c4", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/found/50b62bd2-d19a-4e32-b690-f745df5c3946/application", "externalId" : "50b62bd2-d19a-4e32-b690-f745df5c3946", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" }, { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" }, { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "San Francisco, California, United States; New York, New York, United States; United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, Spark, Snowflake, BigQuery, Redshift, Databricks, Dbt, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Risk assessment", "Data analysis", "Strategic planning", "Process optimization" ], "hardSkillsList" : [ "Financial data analysis", "Transaction pattern analysis", "User behavior analysis", "Credit risk analysis", "Fraud analysis", "Compliance risk analysis", "Automated risk controls", "Decisioning systems", "Risk trends analysis", "Policy improvement analysis", "Risk strategy development", "Risk management processes", "Workflow optimization" ], "hardSkills" : [ { "name" : "Financial data analysis", "level" : "intermediate" }, { "name" : "Transaction pattern analysis", "level" : "intermediate" }, { "name" : "User behavior analysis", "level" : "intermediate" }, { "name" : "Credit risk analysis", "level" : "intermediate" }, { "name" : "Fraud analysis", "level" : "intermediate" }, { "name" : "Compliance risk analysis", "level" : "intermediate" }, { "name" : "Automated risk controls", "level" : "intermediate" }, { "name" : "Decisioning systems", "level" : "intermediate" }, { "name" : "Risk trends analysis", "level" : "intermediate" }, { "name" : "Policy improvement analysis", "level" : "intermediate" }, { "name" : "Risk strategy development", "level" : "intermediate" }, { "name" : "Risk management processes", "level" : "intermediate" }, { "name" : "Workflow optimization", "level" : "intermediate" } ], "majorSkills" : "Risk Management, Data Science, Machine Learning", "majorSkillsList" : [ "Risk Management", "Data Science", "Machine Learning" ], "coreResponsibilities" : "Analyze financial data, Assess financial data, Analyze transaction patterns, Assess transaction patterns, Analyze user behavior, Assess user behavior, Identify credit risks, Assess credit risks, Identify fraud risks, Assess fraud risks, Identify compliance risks, Assess compliance risks, Design automated risk controls, Build automated risk controls, Deploy automated risk controls, Design decisioning systems, Build decisioning systems, Deploy decisioning systems, Provide insights to leadership, Provide recommendations to leadership, Identify process improvements, Drive initiatives for efficiency, Drive initiatives for scalability", "teamCollaboration" : "Partner with product teams; Partner with engineering teams; Partner with data science teams; Cross-functional teams", "domainKnowledge" : "Fintech; Financial services risk; Credit risk; Fraud detection; Compliance risk", "domainList" : [ "fintech", "financial-services-risk", "credit-risk", "fraud-detection", "compliance-risk" ], "domainSpecificKnowledge" : [ "Fintech", "Financial services risk", "Credit risk", "Fraud detection", "Compliance risk" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "AWS SageMaker", "GCP Vertex AI", "Azure ML Studio" ], "communicationSkills" : "Articulate complex issues; Articulate recommendations; Technical audiences; Non-technical audiences", "problemSolvingSkills" : "Derive actionable insights", "qualificationsBasic" : "5+ years in Analytics, 5+ years in Data Science, Experience with SQL, Experience with Python", "qualificationsPreferred" : "Previous fintech experience, Previous startup experience, Prior risk experience, Financial services risk role experience, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "ABOUT FOUND The self-employed workforce is a rapidly growing, resilient, and colorful 60 million Americans. But self-employment comes with its own set of challenges: navigating taxes, accounting, bookkeeping, and business banking are just a few. That’s where we come in. Found is building tools that give self-employed people the security and peace of mind that has historically only been possible at big corporations. We’re a business bank account that automates taxes and expense tracking because we believe small business owners should spend more time doing what they love and less time on their business finances. We’re looking for kind, resourceful, and passionate people to join us in building the safety net for self-employment. About this role: Thanks for your interest in Found! As a Risk Data Scientist at Found, you will be a key player in our Risk team, responsible for identifying, mitigating, and managing financial and operational risks across our product offerings. You will work closely with our Engineering, Data Science, Product, and Operations teams to build scalable risk controls and ensure a seamless, secure experience for our users. At Found, you won’t just answer “what happened”, you’ll be responsible for pointing the way and rallying others around what we should do next. We are looking for a highly motivated and data-driven individual who is passionate about creating a robust and efficient risk management framework in a fast-paced fintech environment. Day to day, you will: - Analyze and Assess Risk: Conduct in-depth analysis of financial data, transaction patterns, and user behavior to identify and assess potential credit, fraud, and compliance risks. - Develop and Implement Risk Controls: Partner with product, engineering and data science teams to design, build, and deploy automated risk controls and decisioning systems that balance user experience with platform safety. - Contribute to Strategic Planning: Provide valuable insights and recommendations to leadership on risk trends, policy improvements, and long-term risk strategy to support Found's growth and expansion. - Optimize Processes: Proactively identify areas for improvement in existing risk management processes and workflows, and drive initiatives to increase efficiency and scalability. To thrive in this role, you have: - 5+ years in Analytics or Data Science - A strong analytical mindset and are comfortable working with large datasets to derive actionable insights. You have experience with SQL, Python, and other analytical software. - Strong communication skills, the ability to clearly and concisely articulate complex risk issues and recommendations to both technical and non-technical audiences - Experience effectively influencing and partnering with cross-functional teams to achieve shared goals. You may also have: - Previous experience working at a fintech. - Previous startup experience. - Prior experience in risk with a fintech or financial services risk role. Compensation at Found The anticipated salary range for this role is $163,000- $225,000. The salary range listed represents the low and high end of the anticipated salary range for this position across all US locations. Within the range, individual pay is determined by several factors including job-related skills, experience, and relevant education or training. Our competitive base salary is just a piece of Found’s total compensation package. Found offers a generous benefits package to all employees see our list below or check out found.com/careers http://found.com/careers to learn more! #LI-DNI ABOUT YOU Found is built by a team that comes from a variety of backgrounds and experiences, and we firmly believe that diversity, equity, and inclusion are crucial to our success. As we grow, we’re searching for passionate and motivated team members who are excited to bring their skill set to the team and are ready to learn from others. If you are looking for a role where you will have the opportunity to make a meaningful contribution and great impact, we would love to hear from you! PERKS & BENEFITS OF FOUND (USA) - 401K, FSA, and Commuter Benefits: We offer all employees access to tax-efficient benefit options alongside competitive base compensation. - Paid parental leave: Found supports employees through all stages of life, which is why new parents employed by Found qualify for 16 weeks of flexible parental leave. - Health benefits: Comprehensive medical, dental, and vision benefits and are always 100% covered for employees, 90% covered for dependents. - Work anywhere: We have Found offices in SF and NYC. For team members who work outside those cities, Found also supports fully remote working. - Meaningful equity: Everyone on our team should feel and act like an owner, which is why Found offers industry-competitive equity to all of our employees. - Generous vacation policy: Vacations, appointments, mental health days- take the time you need. To learn more about our benefits or the team please go to found.com/careers.", "summaryDescription" : "Senior Data Scientist, Risk at Found. Skills: Risk Management, Data Science, Machine Learning. Analyze financial data. Assess financial data", "createdAt" : "2026-06-14T06:02:30.015", "lastUpdated" : "2026-06-15T13:42:20.574", "ingestTimestamp" : "2026-06-14T06:02:30.015", "mongoId" : "6a2cf86c74d8ee00a0a968b2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Financial data analysis", "Transaction pattern analysis", "User behavior analysis", "Credit risk analysis", "Fraud analysis", "Compliance risk analysis", "Automated risk controls", "Decisioning systems", "Risk trends analysis", "Policy improvement analysis", "Risk strategy development", "Risk management processes", "Workflow optimization", "Risk Management", "Data Science", "Machine Learning", "Risk assessment", "Data analysis", "Strategic planning", "Process optimization", "Fintech", "Financial services risk", "Credit risk", "Fraud detection", "Compliance risk", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "AWS SageMaker", "GCP Vertex AI", "Azure ML Studio" ], "skillCount" : 35, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 1246.0691, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2eb32974d8ee00a0e7ddca", "title" : "Risk Reporting Senior Manager", "company" : "Citibank, N. A.", "industry" : "Banking", "salary" : { "min" : 169000.0, "max" : 169000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "United States of America", "locations" : [ "United States of America" ], "timestamp" : "2026-06-16T06:05:47.132", "fingerprint" : "3b4eda3318b68ff17499705b43500c1ee9d620918b70fa0fba07c6615fd60f31", "source" : "workday", "language" : "en", "applyUrl" : "https://citi.wd5.myworkdayjobs.com/2/job/Schaumburg-Illinois-United-States/Risk-Reporting-Senior-Manager_26942383", "externalId" : "26942383", "industryFunction" : { }, "locationPoint" : "51.43667,5.97917", "structuredLocations" : [ { "city" : "Schaumburg", "state" : "Illinois", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "42.0333608,-88.0834060" } ], "locationText" : "Schaumburg, Illinois, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceLevel" : "Manager", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Citibank, N.A. seeks a Risk Reporting Senior Manager for its Schaumburg, Illinois location. Duties: Perform database engineering. Design, implement and maintain integrated SAS macro reporting and MIS system, and evaluate current and emerging technologies. Perform systems management and integration functions and analyze requirements to support system improvements using software engineering technologies Datawarehouse Concepts, Distributed Databases, SAS, Python, R, SQL, Tableau and Qlik sense. Design, implement and maintain relational database systems. Serve as centralized supplier of data and MIS for functional teams in Policy, Risk Execution, Scoring, Forecasting, and Fraud. Maintain and enhance the Risk Management department’s UNIX SAS based Horizon analytical platform and the mainframe legacy processes that feed it. Liaise with other business lines to develop solutions to complex platform issues. Provide MIS and ad hoc reports and analysis on credit quality, origination, portfolio, collection and recovery performance using base SAS on Multiple Virtual Storage mainframe, Windows and UNIX AIX platforms. Import and convert data from various data formats, file systems, and relationship databases. Provide data support for reporting and analysis of presentation materials. Manage key sub-processes used in account management processes, including behavior scoring, account monitoring, and trigger processes. Analysis of system architecture and security. Use robotics, process automation and reusable macros. A telecommuting/hybrid work schedule may be permitted within a commutable distance from the worksite, in accordance with Citi policies and protocols. Requirements: Requires a Bachelor’s degree, or foreign equivalent, in Computer Science, Computer Engineering or related field and 5 years of progressive, post-baccalaureate experience as a Data and Analytics Manager, Lead Analyst, Senior Analyst, Systems Engineer, or related position involving database engineering for a global financial services institution. 5 years of experience must include: Software engineering technologies Datawarehouse Concepts, Distributed Databases, SAS, Python, R, SQL, Tableau, Qlik sense; Design, implementation and maintenance of relational database systems; Risk management products; Business and system requirements analysis, definition and communication; UNIX operating systems; UNIX SAS based Horizon data analytical platform and mainframe; System architecture and security; and Robotics, process automation, reusable macros. Applicants submit resumes at https://jobs.citi.com/. Please reference Job ID #26942383. EO Employer. Wage Range: $169,000 to $169,000 Job Family Group: Risk Management Job Family: Risk Reporting \\------------------------------------------------------ ## **Job Family Group:** \\------------------------------------------------------ ## **Job Family:** \\------------------------------------------------------ ## **Time Type:** Full time \\------------------------------------------------------ ## **Primary Location:** Schaumburg Illinois United States \\------------------------------------------------------ ## **Primary Location Full Time Salary Range:** In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire. \\------------------------------------------------------ ## **Most Relevant Skills** Please see the requirements listed above. \\------------------------------------------------------ ## **Other Relevant Skills** For complementary skills, please see above and/or contact the recruiter. \\------------------------------------------------------ ## **Anticipated Posting Close Date:** \\------------------------------------------------------ _Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._ __ _If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review[Accessibility at Citi](https://www.citigroup.com/citi/accessibility/application-accessibility.htm). View Citi’s [EEO Policy Statement](https://www.citigroup.com/global/eeo-aa-policy) and the [Know Your Rights](https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) poster._", "summaryDescription" : "Risk Reporting Senior Manager at Citibank, N. A.", "postedDate" : "2026-06-11T21:25:11.534", "createdAt" : "2026-06-14T21:25:11.514", "lastUpdated" : "2026-06-16T06:05:47.132", "ingestTimestamp" : "2026-06-14T21:25:11.514", "mongoId" : "6a2eb32974d8ee00a0e7ddca", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://citi.wd5.myworkdayjobs.com/2/job/Schaumburg-Illinois-United-States/Risk-Reporting-Senior-Manager_26942383", "salaryAnnualMin" : 169000, "salaryAnnualMax" : 169000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "manager", "dataQualityScore" : 0.8888889, "_score" : 1242.5455, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Banking", "llmIndustryConfidence" : 0.98 }, { "id" : "68e0a7e3ce260f92cbf8ea9c", "title" : "Risk Manager", "company" : "ADCI", "industry" : "Investigation Loss Prevention, Risk Family, selling partner services", "salary" : { "min" : 2250000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Risk Manager in Financial Services in Bengaluru, India, adjusted for company size and experience level." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-15T07:56:41.164", "fingerprint" : "597fa630a7686c66a088260d548b1e081846a27e00c0126253e5cf2c803fefc7", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3100535/apply", "externalId" : "e070df80-46d4-4406-b318-7ef303ea1010", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceLevel" : "Manager", "professionalSkills" : [ "Risk management", "Risk assessments", "Data analysis" ], "hardSkillsList" : [ "Risk-based analysis", "Data analysis" ], "hardSkills" : [ { "name" : "Risk-based analysis", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "majorSkills" : "Risk management, Compliance solutions", "majorSkillsList" : [ "Risk management", "Compliance solutions" ], "coreResponsibilities" : "Own Second-line program, Identify develop data sources, Own maintain update policies, Develop data driven narratives, Perform operational deep dives, Understand business processes, Identify track report indicators, Coach non-risk professionals, Manage several projects, Partner drive automation, Improve risk compliance culture, Own risk management mechanisms, Dive deep issues, Produce data driven analysis, Invent mechanisms simplify data, Learn understand Amazon's risks, Analyze risks controls, Drive informed decisions, Break problems manageable pieces, Ruthlessly prioritizing, Deliver results initiatives, Dive deep control environment, Understand effectiveness design, Understand effectiveness operations, Own design development maintenance, Drive key business decisions, Engage multiple stakeholders, Gather information cohesive manner, Draft reports track metrics, Facilitate development mechanisms policies, Facilitate risk registers, Facilitate risk appetite statements, Facilitate key risk indicators", "teamCollaboration" : "Partner with Assurance; Partner with Strategic Planning; Partner with Tech; Partner with Compliance; Engage with multiple stakeholders", "projectManagementSkills" : [ "Manage several projects" ], "domainKnowledge" : "Payments risk; Credit risk; Insurance risk; Product risk; Business continuity; Resiliency; Third-party risk; Regulatory frameworks; Legal requirements; Compliance requirements", "domainList" : [ "payments-risk", "credit-risk", "insurance-risk", "product-risk", "business-continuity", "resiliency", "third-party-risk", "regulatory-frameworks", "legal-requirements", "compliance-requirements" ], "domainSpecificKnowledge" : [ "Payments risk", "Credit risk", "Insurance risk", "Product risk", "Business continuity", "Resiliency", "Third-party risk", "Regulatory frameworks", "Legal requirements", "Compliance requirements" ], "communicationSkills" : "Written communication; Verbal communication; Data driven narratives", "documentationSkills" : "Governance documents", "problemSolvingSkills" : "Root cause analysis; Break problems manageable pieces", "qualificationsBasic" : "Bachelor's degree or equivalent, 5+ years experience risk function, Risk-based analysis experience, Ability to manage data, Demonstrated track record ownership, Excellent written communication, Excellent verbal communication", "qualificationsPreferred" : "Experience global risk programs, Ability think strategically, Ability think tactically, Ability multitask fast-paced environment, Ability multitask technical environment", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you ready to apply your risk and compliance expertise to Amazon's unique environment? We are looking for a candidate with demonstrated Risk Management expertise who will play a key role in building out new exciting programs across Amazon’s different organizations. The Risk Manager, as part of the Second Line team responsible for Payments, Credit and Insurance in the UK and EU, drives risk assessments, escalation, and mitigation strategies across a diverse group of partners and risk disciplines. They play a vital role in ensuring that Amazon complies with local and global legal and compliance requirements and maintaining Amazon as being the place for a trusted shopping experience. You will join a team that partners across the organization to shape the future of Amazon’s evolving risk and compliance programs and where we value ownership, insight, intellectual flexibility, and sound business judgment. Responsibilities: • Second-line program level ownership which may include product risk, business continuity and resiliency, and third-party risk. • Identify and develop appropriate data sources and elements which contribute to risk-based assessments. • Own, maintain, and annually update policies, procedures, and other governance documents, as necessary. • Develop detailed, data driven narratives to inform leadership/Board members of risk levels, mitigations, and impacts. • Perform operational deep dives on processes and systems. Understand business processes, regulations, and controls and work with partners to identify root cause of issues. • Identify, track, and report key risk indicators. • Coach non-risk professionals on key elements on Risk management best practice. • Manage several projects simultaneously with a sense of urgency. • Partner with Assurance, Strategic Planning, Tech, Compliance or other key stakeholders to drive automation and improve risk and compliance culture. Key job responsibilities • Ownership of risk management mechanisms with the ability to dive deep on issues to produce data driven analysis, and the ability to invent mechanisms and simplify data into key business information • Learn and understand a broad range of Amazon's risks and controls and how to analyze them to drive informed decisions • Break problems into manageable pieces, ruthlessly prioritizing, and delivering results on regional initiatives in a global environment • Dive deep into the control environment and understand the effectiveness of design and operations. • Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions. • Engage with multiple stakeholders to gather information and put it together in a cohesive manner. • Draft reports and track metrics. • Facilitate development of mechanisms and policies such as risk registers, risk appetite statements, key risk indicators, and other insights for partners and stakeholders. Basic Qualifications: -Bachelor's degree or equivalent. -5+ years of experience in the risk function of a financial institution, technology company or in the risk advisory team of a big-4 consultancy firm. -Experience with risk-based analysis of products, vendors, and significant operational changes. - Ability to manage and analyze data. -Demonstrated track record of taking ownership and driving results. -Excellent written and verbal English communication skills. Preferred Qualifications: -Experience in global risk programs addressing multiple regulatory regimes. -Ability to think both strategically and tactically. -Ability to multitask in a fast-paced, technical environment Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Risk Manager at ADCI. Skills: Risk management, Compliance solutions. Own Second-line program. Identify develop data sources", "postedDate" : "2026-06-13T20:33:05.560", "createdAt" : "2026-06-13T20:33:05.560", "lastUpdated" : "2026-06-15T07:56:41.164", "ingestTimestamp" : "2026-06-13T20:33:05.560", "mongoId" : "68e0a7e3ce260f92cbf8ea9c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3100535/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Risk-based analysis", "Data analysis", "Risk management", "Compliance solutions", "Risk assessments", "Manage several projects", "Payments risk", "Credit risk", "Insurance risk", "Product risk", "Business continuity", "Resiliency", "Third-party risk", "Regulatory frameworks", "Legal requirements", "Compliance requirements" ], "skillCount" : 16, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 1203.0405, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "69f9b8024c40e2acd1113ebf", "title" : "Risk Analyst, Buyer Risk Prevention", "company" : "Amazon Development Centre (India) Private Limited", "industry" : "Business Intelligence, Risk Family, selling partner services", "salary" : { "min" : 750000.0, "max" : 1100000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Risk Analyst in E-commerce in Hyderabad, India, adjusted for Amazon's company size and the specific role." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-15T02:30:39.924", "fingerprint" : "f0323d237bc13c67d773ecafa82f08f84aa669cdab47c86b7f186e4a18f14502", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10410821/apply", "externalId" : "f15c57f4-7ee2-438b-882a-a886a50df664", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "state" : "Telangana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, Telangana, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 1, "technicalSkills" : "SQL, ETL, Python, R", "professionalSkills" : [ "Business analysis", "Financial analysis", "Data analysis", "Risk analysis", "Fraud prevention" ], "hardSkillsList" : [ "Data mining", "Risk modeling", "Metrics development", "Business intelligence" ], "hardSkills" : [ { "name" : "Data mining", "level" : "intermediate" }, { "name" : "Risk modeling", "level" : "intermediate" }, { "name" : "Metrics development", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" } ], "majorSkills" : "Risk prevention, Data analysis, Fraud detection", "majorSkillsList" : [ "Risk prevention", "Data analysis", "Fraud detection" ], "coreResponsibilities" : "Perform complex data analysis, Generate actionable insights, Own design of metrics, Develop ongoing metrics, Maintain ongoing metrics, Create reports, Create analyses, Create dashboards, Design visual dashboards, Implement visual dashboards, Support cross-functional teams, Retrieve data from multiple sources, Aggregate data from multiple sources, Compile data into actionable format, Prepare business reviews, Deliver business reviews, Communicate complex analysis, Communicate insights, Review instances of fraud, Create mechanisms to stop fraud, Report on fraud trends, Improve products, Create dashboards, Maintain dashboards, Detect fraud, Inform stakeholders on fraud prevention", "teamCollaboration" : "Cross-functional teams; Payment product owners", "domainKnowledge" : "Buyer risk prevention; Payment risk; eCommerce transactions; Online marketplace; Fraud threats; Financial transactions; Customer friction", "domainList" : [ "buyer-risk-prevention", "payment-risk", "ecommerce-transactions", "online-marketplace", "fraud-threats", "financial-transactions", "customer-friction" ], "domainSpecificKnowledge" : [ "Buyer risk prevention", "Payment risk", "eCommerce transactions", "Online marketplace", "Fraud threats", "Financial transactions", "Customer friction" ], "toolProficiency" : [ "BI tools" ], "communicationSkills" : "Business reviews; Verbal communication; Written communication", "problemSolvingSkills" : "Identify risk; Identify trends; Develop solutions", "qualificationsBasic" : "1+ years of business or financial analysis experience, Experience with SQL or ETL, Experience defining requirements and using data and metrics to draw business insights", "qualificationsPreferred" : "Bachelor's degree or above in a quantitative field, 1+ years of professional work experience, Experience in SQL or other relational databases, Knowledge of a scripting language", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Have you ever thought about what it takes to detect and prevent fraudulent activity in hundreds of millions of eCommerce transactions across the globe? What would you do to increase trust in an online marketplace where millions of buyers and sellers transact? How would you build systems that evolve over time to proactively identify and neutralize new and emerging fraud threats? Our mission in Buyer Risk Prevention (BRP) is to make Amazon.com the safest place to transact online. BRP safeguards every financial transaction across all Amazon sites, while striving to ensure that these efforts are transparent to our legitimate customers. As such, BRP designs and builds the software systems, risk models and operational processes that minimize risk and maximize trust in Amazon.com. As a Risk Analyst in BRP, you will be responsible for analyzing terabytes of data to identify specific instances of risk, broader risk trends and points of customer friction. You will develop scalable solutions for fraud prevention. In addition, you will be responsible for building a robust set of operational and business metrics and will utilize metrics to determine improvement opportunities. Key job responsibilities Perform complex data analysis to proactively generate actionable insights Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. within SQL and other BI tools Design and implement various visual dashboards in order to make insights available to team members, stakeholders and our customers Support cross-functional teams on the day-to-day execution of projects and initiatives Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format Preparing and delivering business reviews to the senior management team regarding progress and roadblocks Communicate complex analysis and insights to stakeholders and business leaders, both verbally and in writing A day in the life 1. Review instances of fraud and create mechanisms to stop them 2. Report on fraud trends and improve products 3. Create and maintain dashboards that detect and inform stakeholders (such as payment product owners) on how to stop fraud About the team Our team consists of Business Analysts, Data Scientists, Business Intelligence Engineers and Applied Scientist rolling under the core Buyer Risk Prevention Machine Learning Team. We evaluate instances of organized buyer fraud attacks on Amazon platform WW across various payment methods. We collaborate closely across multiple functions in order to mitigate these attacks through various short and long term solutions. Basic Qualifications: - 1+ years of business or financial analysis experience - Experience with SQL or ETL - Experience defining requirements and using data and metrics to draw business insights Preferred Qualifications: - Bachelor's degree or above in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or PhD - 1+ years of professional work experience, or experience in SQL or other relational databases - Knowledge of a scripting language (Python, R, etc.) Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Risk Analyst, Buyer Risk Prevention at Amazon Development Centre (India) Private Limited. Skills: Risk prevention, Data analysis, Fraud detection. Perform complex data analysis. Generate actionable insights", "postedDate" : "2026-06-13T05:29:47.095", "createdAt" : "2026-06-13T05:29:47.095", "lastUpdated" : "2026-06-15T02:30:39.924", "ingestTimestamp" : "2026-06-13T05:29:47.095", "mongoId" : "69f9b8024c40e2acd1113ebf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10410821/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data mining", "Risk modeling", "Metrics development", "Business intelligence", "Risk prevention", "Data analysis", "Fraud detection", "Business analysis", "Financial analysis", "Risk analysis", "Fraud prevention", "Buyer risk prevention", "Payment risk", "eCommerce transactions", "Online marketplace", "Fraud threats", "Financial transactions", "Customer friction", "BI tools" ], "skillCount" : 19, "jobCategory" : "other", "dataQualityScore" : 0.8888889, "_score" : 1201.1387, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "eCommerce" }, { "id" : "69164db770f0b99d586f392a", "title" : "Risk Manager", "company" : "Payfort Egypt LLC", "industry" : "Administrative Support, Risk Family, consumerpayments", "salary" : { "min" : 750000.0, "max" : 1200000.0, "currency" : "EGP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Risk Manager in the FinTech industry in Cairo, Egypt, adjusted for seniority and company size." }, "location" : "Cairo, EGY", "locations" : [ "Cairo, EGY" ], "timestamp" : "2026-06-14T22:38:36.365", "fingerprint" : "b9bcc88c3f25abe164444b03dcdd8c3e83c0269801c74b394126dc72946cfc55", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3119806/apply", "externalId" : "a6ff3187-f7b9-44ab-8bf5-33494a7cd492", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cairo", "country" : "Egypt", "continent" : "af", "source" : "llm", "workMode" : "onsite", "geo" : "30.0443879,31.2357257" } ], "locationText" : "Cairo, Egypt", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceLevel" : "Manager", "technicalSkills" : "SQL", "professionalSkills" : [ "Risk management", "Business continuity", "Third-party risk", "Data analysis", "Process analysis", "Regulatory understanding", "Risk indicators" ], "hardSkillsList" : [ "Data-driven analysis", "Risk assessment", "Policy maintenance", "Procedure maintenance", "Governance documents" ], "softSkillsList" : [ "Ownership", "Intellectual flexibility", "Business judgment", "Invent mechanisms", "Simplify data" ], "hardSkills" : [ { "name" : "Data-driven analysis", "level" : "intermediate" }, { "name" : "Risk assessment", "level" : "intermediate" }, { "name" : "Policy maintenance", "level" : "intermediate" }, { "name" : "Procedure maintenance", "level" : "intermediate" }, { "name" : "Governance documents", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Ownership" }, { "name" : "Intellectual flexibility" }, { "name" : "Business judgment" }, { "name" : "Invent mechanisms" }, { "name" : "Simplify data" } ], "majorSkills" : "Risk management, Data analysis, Process improvement", "majorSkillsList" : [ "Risk management", "Data analysis", "Process improvement" ], "coreResponsibilities" : "Own program level risk, Identify data sources, Develop data elements, Own and update policies, Update procedures, Update governance documents, Develop data driven narratives, Inform leadership of risk, Perform operational deep dives, Understand business processes, Understand regulations, Understand controls, Identify root cause of issues, Identify key risk indicators, Track key risk indicators, Report key risk indicators, Coach non-risk professionals, Manage several projects, Own internal data integrity, Break problems into pieces, Prioritize ruthlessly, Deliver results globally, Own metrics development, Own report development, Own analysis development, Own dashboard development, Drive key business decisions, Dive deep into control environment, Understand design effectiveness, Understand operations effectiveness, Engage with multiple stakeholders, Gather information, Draft reports, Track metrics", "teamCollaboration" : "Cross-functional teams; Partnering with people", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Amazon's risks; Amazon's controls", "domainList" : [ "amazon-s-risks", "amazon-s-controls" ], "domainSpecificKnowledge" : [ "Amazon's risks", "Amazon's controls" ], "communicationSkills" : "Leadership reporting", "documentationSkills" : "Governance documents", "problemSolvingSkills" : "Root cause analysis; Data-driven analysis", "outcomesObjectives" : "Deliver results", "qualificationsBasic" : "2+ years relevant experience, Bachelor's degree or equivalent, 4+ years industry experience", "qualificationsPreferred" : "SQL data manipulation experience, Lean or Six Sigma experience, Risk/fraud analysis experience, Compliance organization experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "You will join a team that partners across the organization to shape the future of Amazon’s evolving risk and compliance programs and where we value ownership, insight, intellectual flexibility, and sound business judgment. Responsibilities· • First-line program level ownership which may include product risk, business continuity and resiliency, and third-party risk. • Identify and develop appropriate data sources and elements which contribute to risk-based assessments. • Own, maintain, and annually update policies, procedures, and other governance documents, as necessary. • Develop detailed, data driven narratives to inform leadership/Board members of risk levels, mitigations, and impacts. • Perform operational deep dives on processes and systems. Understand business processes, regulations, and controls and work with partners to identify root cause of issues. • Identify, track, and report key risk indicators. • Coach non-risk professionals on key elements on Risk management best practice. • Manage several projects simultaneously with a sense of urgency. • Own internal data integrity. Key job responsibilities Value ownership, the ability to dive deep on issues to produce data driven analysis, and the ability to invent mechanisms and simplify data into key business information. Learn and understand a broad range of Amazon's risks and controls and how to analyze them to drive informed decisions. A day in the life • Break problems into manageable pieces, ruthlessly prioritizing, and delivering results in a global environment. • Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions. • Dive deep into the control environment and understand the effectiveness of design and operations. • Engage with multiple stakeholders to gather information and put it together in a cohesive manner. • Draft reports and track metrics. Basic Qualifications: - 2+ years of work in relevant industries such as law, customer service, investigations or project management experience - Bachelor's degree or equivalent, or experience in an industry role - Experience working effectively across cross-functional teams and partnering well with people at all levels within an organization - Experience in relevant industries such as law, customer service, investigations or project management - Bachelor's degree or equivalent, or 4+ years of industry experience Preferred Qualifications: - Experience in SQL data manipulation - Experience with Lean or Six Sigma analytical techniques - Experience working in risk/fraud analysis or in compliance organizations Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Risk Manager at Payfort Egypt LLC. Skills: Risk management, Data analysis, Process improvement. Own program level risk. Identify data sources", "postedDate" : "2026-06-12T23:21:18.555", "createdAt" : "2026-06-12T23:21:18.555", "lastUpdated" : "2026-06-14T22:38:36.365", "ingestTimestamp" : "2026-06-12T23:21:18.555", "mongoId" : "69164db770f0b99d586f392a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3119806/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data-driven analysis", "Risk assessment", "Policy maintenance", "Procedure maintenance", "Governance documents", "Ownership", "Intellectual flexibility", "Business judgment", "Invent mechanisms", "Simplify data", "Risk management", "Data analysis", "Process improvement", "Business continuity", "Third-party risk", "Process analysis", "Regulatory understanding", "Risk indicators", "Project management", "Amazon's risks", "Amazon's controls" ], "skillCount" : 21, "jobCategory" : "operations", "dataQualityScore" : 1.0, "_score" : 1183.0701, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinServ" }, { "id" : "6a2cdb6a74d8ee00a0a504d7", "title" : "Associate Risk Engineer (Underwriter), Executive Risks", "company" : "Coalition, Inc.", "industry" : "Insurance", "salary" : { "min" : 60000.0, "max" : 80000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States - Remote", "locations" : [ "United States - Remote" ], "certifications" : [ "CFA", "FRM" ], "timestamp" : "2026-06-15T09:23:46.912", "fingerprint" : "228ebadf7e56e4e6f3eef4fcd29eee015874510fc76c12069e930aa5b8b44f13", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.coalitioninc.com/job-posting?gh_jid=4705637005", "externalId" : "4705637005", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, R, SQL, Bloomberg Terminal, Reuters Eikon, FactSet", "professionalSkills" : [ "Risk assessment", "Underwriting", "Financial analysis" ], "hardSkillsList" : [ "Quantitative analysis", "Financial modeling" ], "hardSkills" : [ { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Financial modeling", "level" : "intermediate" } ], "majorSkills" : "Executive Risks, Underwriting, Risk management", "majorSkillsList" : [ "Executive Risks", "Underwriting", "Risk management" ], "coreResponsibilities" : "Support renewal goals, Support new business goals, Manage tight time frames, Manage high volumes of work, Manage direct agency relationships", "teamCollaboration" : "Direct agency relationships", "domainKnowledge" : "Executive Risks; Financial lines products; Digital risk; Cybersecurity", "domainList" : [ "executive-risks", "financial-lines-products", "digital-risk", "cybersecurity" ], "domainSpecificKnowledge" : [ "Executive Risks", "Financial lines products", "Digital risk", "Cybersecurity" ], "toolProficiency" : [ "Bloomberg Terminal", "Reuters Eikon", "FactSet" ], "qualificationsBasic" : "5+ years experience", "qualificationsPreferred" : "CFA charterholder preferred, FRM charterholder preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About us Coalition is the world's first Active Insurance provider designed to help prevent digital risk before it strikes. Founded in 2017, Coalition combines comprehensive insurance coverage and innovative cybersecurity tools to help businesses manage and mitigate potential cyberattacks. Opportunities to make an impact with bold thinking are real—and happening daily at Coalition. About the role We are looking for an Underwriter to join our Executive Risks underwriting team to support the achievement of established renewal and new business goals for financial lines products, including D must be able to demonstrate success with managing tight time frames, high volumes of work, direct agency relationships Compensation Our compensation reflects the cost of labor across several US geographic markets. The US base salary for this position ranges from $60,000/year in our lowest geographic market up to $80,000/year in our highest geographic market. Consistent with applicable laws, an employee's pay within this range is based on a number of factors, which include but are not limited to relevant education, skills, job-related knowledge, qualifications, work experience, credentials, and/or geographic location. Your recruiter can share more on target salary for your location during the interview process. Coalition, Inc. reserves the right to modify this range as needed. Perks 100% medical, dental and vision coverage Flexible PTO policy Annual home office stipend and WeWork access Mental & physical health wellness programs (One Medical, Headspace, Wellhub, and more)! Competitive compensation and opportunity for advancement Why Coalition? Work at Coalition is centered on the joint mission to Protect the Unprotected. We have built a remote-first, highly inclusive culture that welcomes people from diverse backgrounds. We trust each other to take responsibility, share ownership of outcomes, and put in the work together to protect businesses from digital risk. Coalition’s exceptional growth stems from its ability to address real-world problems for organizations of all sizes while remaining true to our founding values of character, humility, responsibility, purpose, authenticity, and inclusion. We’re always looking for collaborative, inquisitive individuals to join #OurCoalition. Visit our Newsroom > Privacy Notice Coalition is committed to protecting your privacy and handling your personal information responsibly. We collect, use, and store personal information as necessary for the recruitment process and in compliance with applicable privacy laws and regulations in all regions where we operate. We want you to understand what personal information we collect, how we use it, and your rights regarding access, correction, and deletion of your data where applicable. Information submitted, collected, and processed as part of your application is subject to Coalition's Privacy Policy. For further details, please review our full Privacy Policy or contact us with any questions regarding how your information is handled. Our Privacy Policy > Safe Hiring Notice All legitimate communication from Coalition comes from @coalitioninc.com emails, and open roles are listed only on our Careers page. We never ask for payment, banking details, or personal identification before an offer is accepted through our secure systems. If you believe you’ve been a victim of fraudulent recruiting, follow guidance from the Federal Trade Commission (FTC). Anti-Discrimination Notice Coalition is proud to be an Equal Opportunity employer. Our policy is to provide equal employment opportunities to all individuals, without discrimination or harassment on the basis of any characteristic protected by applicable laws in each country where we operate. This commitment includes, but is not limited to, ensuring equal treatment in recruitment, selection, training, promotion, transfer, compensation, and all other aspects of employment. Coalition does not tolerate discrimination or harassment of any kind, and we are dedicated to fostering an inclusive and supportive workplace. Accommodations Coalition is committed to providing reasonable accommodations to qualified individuals with disabilities, including applicants and employees, in accordance with applicable laws and regulations in each country where we operate. Our policy is to support equal opportunity in the hiring process by considering qualified applicants regardless of disability or other protected characteristics, unless providing accommodation would impose an undue hardship or disproportionate burden. If you require accommodation to complete an application, interview, pre-employment testing, or participate in the selection process, please contact us at candidateaccommodations@coalitioninc.com. We also consider all qualified applicants, including those with criminal histories, in line with applicable laws and regulations in each jurisdiction. To all recruitment agencies: Coalition does not accept unsolicited agency resumes. Do not forward resumes to our email alias, employees, or other physical or virtual organization locations. Coalition is not responsible for any fees related to unsolicited resumes.", "summaryDescription" : "Associate Risk Engineer (Underwriter), Executive Risks at Coalition, Inc.. Skills: Executive Risks, Underwriting, Risk management. Support renewal goals. Support new business goals", "postedDate" : "2026-06-14T04:09:36.436", "createdAt" : "2026-06-14T04:09:36.436", "lastUpdated" : "2026-06-15T09:23:46.912", "ingestTimestamp" : "2026-06-14T04:09:36.436", "mongoId" : "6a2cdb6a74d8ee00a0a504d7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 60000, "salaryAnnualMax" : 80000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Quantitative analysis", "Financial modeling", "Executive Risks", "Underwriting", "Risk management", "Risk assessment", "Financial analysis", "Financial lines products", "Digital risk", "Cybersecurity", "CFA", "FRM", "Bloomberg Terminal", "Reuters Eikon", "FactSet" ], "skillCount" : 15, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "_score" : 1177.9954, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Insurance", "llmIndustryConfidence" : 0.95 }, { "id" : "6a21770e74d8ee00a0c1ba75", "title" : "Associate Vice President, Credit Risk", "company" : "CapFloat Financial Service Pvt Limited", "industry" : "Project/Program/Product Management--Non-Tech, Product Management, consumerpayments", "salary" : { "min" : 3500000.0, "max" : 6000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for FinTech in Bengaluru, India, adjusted for VP seniority and executive experience." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-15T03:36:33.484", "fingerprint" : "b08f3764701775d350f81bf1e01597103c6d6c982b914e35790582841055a9d8", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10435330/apply", "externalId" : "cb4a7e5c-67fe-4654-ad74-9a16373dda5c", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 99, "experienceLevel" : "Executive", "technicalSkills" : "SQL, Python, Excel", "professionalSkills" : [ "Risk management", "Data management", "Lending operations", "Portfolio governance" ], "hardSkillsList" : [ "Data analysis", "Policy implementation", "Risk mitigation" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Policy implementation", "level" : "intermediate" }, { "name" : "Risk mitigation", "level" : "intermediate" } ], "majorSkills" : "Credit risk, Risk governance, Data analysis", "majorSkillsList" : [ "Credit risk", "Risk governance", "Data analysis" ], "coreResponsibilities" : "Own delivery of Risk Initiatives, Design risk mitigation policies, Maintain risk mitigation policies, Update risk mitigation policies, Create lending portfolio governance framework, Own lending portfolio governance framework, Collaborate to identify potential risks, Propose risk solutions, Communicate operational findings, Communicate strategic recommendations", "teamCollaboration" : "Cross-functional teams; Senior leadership", "domainKnowledge" : "Credit risk; Consumer lending; Lending portfolio management", "domainList" : [ "credit-risk", "consumer-lending", "lending-portfolio-management" ], "domainSpecificKnowledge" : [ "Credit risk", "Consumer lending", "Lending portfolio management" ], "toolProficiency" : [ "SQL", "Python", "Excel" ], "communicationSkills" : "Communicate complex findings; Communicate strategic recommendations", "problemSolvingSkills" : "Solve complex risk challenges", "qualificationsBasic" : "5+ years data analysis, 2+ years cross-functional experience, Bachelor's degree, Experience advanced data analysis, 2+ years process and policy improvement", "qualificationsPreferred" : "Bachelor's in Finance, Economics, Statistics, Business, 2+ years risk management experience, 1+ year consumer lending portfolio management", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you passionate about empowering millions of customers to access credit responsibly and with confidence? Do you thrive on solving complex risk challenges that directly shape lending decisions at scale? Come join us at Amazon 1P Lending - Risk! Our team is at the heart of Amazon's mission to make credit accessible, responsible, and seamless for customers across the globe. We design and manage the credit risk frameworks that power lending products loved by millions — from Pay Later to EMI solutions and beyond. We are looking for a strategic and analytical Associate Vice President to join our Risk Management Team, with a strong understanding of risk management principles and proficiency in data management and manipulation tools such as SQL, Python, and Excel. You will design and implement scalable risk governance frameworks that engage with customers throughout their loan lifecycle — from acquisition to customer management — enabling lending operations to run efficiently at scale within a defined risk appetite. This is a high-visibility role that requires strong operational rigor, cross-functional collaboration with Product, Collections, Finance, Tech, Compliance, and Legal teams, and the ability to communicate clearly to a variety of internal and external audiences. Key job responsibilities • Own end-to-end delivery of Risk Initiatives aligned to broader Team objectives. • Design, maintain, and update risk mitigation policies and controls across all customer interactions — onboarding journey, credit and fraud underwriting, and customer lifecycle management • Create and own a lending portfolio governance framework, including data models and reports, leveraging SQL, Python, Excel, and dashboarding tools • Collaborate with cross-functional teams to identify potential risks and propose solutions, maintaining risk appetite and ensuring adherence to regulatory requirements • Communicate complex operational findings and strategic recommendations clearly to a variety of internal and external audiences, including senior leadership About the team The Credit Risk team develops and maintains all policies pertaining to credit underwriting of customers seeking a loan. They also manage a customer's end to end credit experience from loan disbursal strategy to collections strategy. They also work with the data science teams of risk management Machine Learning models that are incorporated in the policies as well as the product management teams to customize the product from a lending point of view. Basic Qualifications: - 5+ years of data analysis experience - 2+ years of working cross functionally with tech and non-tech teams experience - Bachelor's degree - Experience in advanced data analysis using Excel, Python, or SQL - 2+ years of experience defining and implementing process and policy improvement initiatives that impact credit & fraud risk, using data and metrics Preferred Qualifications: - Bachelor's degree in Finance, Economics, Statistics, Business, or a related field - 2+ years of risk management experience, specifically in unsecured lending such as Personal Loans, credit cards, consumer durable financing, etc. within the consumer lending category - • 1+ year of experience driving end-to-end consumer lending portfolio management and stakeholder management Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Associate Vice President, Credit Risk at CapFloat Financial Service Pvt Limited. Skills: Credit risk, Risk governance, Data analysis. Own delivery of Risk Initiatives. Design risk mitigation policies", "postedDate" : "2026-06-13T04:25:40.746", "createdAt" : "2026-06-13T04:25:40.746", "lastUpdated" : "2026-06-15T03:36:33.484", "ingestTimestamp" : "2026-06-13T04:25:40.746", "mongoId" : "6a21770e74d8ee00a0c1ba75", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10435330/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Policy implementation", "Risk mitigation", "Credit risk", "Risk governance", "Risk management", "Data management", "Lending operations", "Portfolio governance", "Consumer lending", "Lending portfolio management", "SQL", "Python", "Excel" ], "skillCount" : 14, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "_score" : 1154.9827, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services" }, { "id" : "6a304f0df292fd229cee4ad6", "title" : "Risk Analyst", "company" : "BHFT", "industry" : "Information Technology And Services", "salary" : { "min" : 52000.0, "max" : 78000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Risk Analyst in the FinTech industry in Bulgaria, adjusted for remote work and 2-5 years of experience." }, "location" : "London, England, United Kingdom", "locations" : [ "London", "England", "United Kingdom" ], "certifications" : [ "CFA", "FRM" ], "timestamp" : "2026-06-16T02:36:53.987", "fingerprint" : "f0eb8e4748d28aa19d186eb964ff44b623453ac90b64174d0913668e4026f7a4", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/BHFT/744000132130654-risk-analyst", "externalId" : "744000132130654", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 15, "experienceMaxYears" : 99, "experienceLevel" : "executive", "technicalSkills" : "Python, SQL", "professionalSkills" : [ "Risk management", "P&L attribution", "Liquidity reserve modeling", "Margin reconciliation", "Scenario analysis" ], "hardSkillsList" : [ "Futures margining", "Listed options Greeks", "Equity portfolio risk" ], "hardSkills" : [ { "name" : "Futures margining", "level" : "intermediate" }, { "name" : "Listed options Greeks", "level" : "intermediate" }, { "name" : "Equity portfolio risk", "level" : "intermediate" } ], "majorSkills" : "Risk management, VaR methodologies, Futures margining", "majorSkillsList" : [ "Risk management", "VaR methodologies", "Futures margining" ], "coreResponsibilities" : "Operate and maintain VaR systems daily, Capture positions and strategies, Price positions and strategies, Reflect positions in risk engine, Monitor trading exposures in real time, Monitor against firm's risk limits, Identify potential breaches, Escalate potential breaches promptly, Reconcile daily margin requirements, Run what-if scenarios, Optimize margin usage, Reduce capital requirements, Identify margin efficiencies, Execute daily stress tests, Execute scenario analyses, Identify outliers, Investigate data issues, Investigate spikes in VaR, Own resolution of technical problems, Own resolution of pricing problems, Escalate persistent issues, Maintain understanding of daily P&L, Contextualize risk exposures, Identify unusual risk/return relationships, Review P&L attribution outputs, Validate P&L attribution consistency, Flag P&L anomalies, Flag P&L discrepancies, Run daily liquidity reserve model, Assess bid/ask costs, Apply liquidity reserves to valuations, Produce realistic P&L figures, Prepare daily risk reports, Distribute daily risk reports, Conduct regular reviews with traders, Discuss stress test results, Discuss margin optimization opportunities", "teamCollaboration" : "Reviews with traders", "domainKnowledge" : "Algorithmic trading; Proprietary trading; Futures markets; Listed options; Equity portfolio risk; FCM reconciliation", "domainList" : [ "algorithmic-trading", "proprietary-trading", "futures-markets", "listed-options", "equity-portfolio-risk", "fcm-reconciliation" ], "domainSpecificKnowledge" : [ "Algorithmic trading", "Proprietary trading", "Futures markets", "Listed options", "Equity portfolio risk", "FCM reconciliation" ], "toolProficiency" : [ "Risk systems", "Margin tools", "Excel", "Python", "SQL" ], "communicationSkills" : "Risk reporting", "problemSolvingSkills" : "Anomaly detection; Outlier investigation", "qualificationsBasic" : "2–5 years of relevant experience, Bachelor's degree or higher", "qualificationsPreferred" : "CFA or FRM preferred, Advanced Excel Python or SQL experience is a plus", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "BHFT is a proprietary algorithmic trading firm. Our team manages the full trading cycle, from software development to creating and coding strategies and algorithms. Our trading operations cover key exchanges. The firm trades across a broad range of asset classes, including equities, equity derivatives, options, commodity futures, rates futures, etc. We employ a diverse and growing array of algorithmic trading strategies, utilizing both High-Frequency Trading (HFT) and Medium-Frequency Trading (MFT) approaches. Looking ahead, we are expanding into new markets and products. As a dynamic company, we continuously experiment with new markets, tools, and technologies. We’ve got a team of 200+ professionals, with a strong emphasis on technology—70% are technical specialists in development, infrastructure, testing, and analytics spheres. The remaining part of the team supports our business operations, such as Risks, Compliance, Legal, Operations and more. Our employees are located all around the world, from the United States to Hong Kong. Although we maintain office spaces, we currently operate as a 100% remote organization. At BHFT, clarity and transparency are at the core of our culture: we value open communication, ensuring that our processes are straightforward. Responsibilities: 1. Risk Management Tasks * Risk System Operation: Run and maintain the firm’s VaR and risk systems daily. Ensure all positions and strategies are accurately captured, priced, and reflected in the risk engine. * Intraday Limit Monitoring: Monitor trading exposures in real time against the firm’s risk limits (position size, margin, and concentration). Identify and escalate potential breaches promptly. * Margin Tool Operation: Reconcile daily margin requirements against FCM statements and calls. Run what-if scenarios across exchanges and FCMs to optimize margin usage, reduce capital requirements, and identify efficiencies. * Stress Testing: Execute daily stress tests and scenario analyses. * Anomaly Detection & Tool Ownership: Identify and investigate outliers, data issues, or unexpected spikes in VaR or risk metrics. Own the resolution of technical or pricing problems within the risk and margin systems and escalate persistent issues. 2. P&L Awareness * Maintain a working understanding of daily P&L by strategy to contextualize risk exposures and identify unusual risk/return relationships. * Review P&L attribution outputs produced by the P&L Analyst to validate consistency with observed position changes and market moves. * Flag P&L anomalies or discrepancies that may indicate data, pricing, or position capture issues in the risk system. 3. Liquidity & Valuation Tasks * Run the daily liquidity reserve model to assess bid/ask costs for exiting positions. * Apply liquidity reserves to valuations to produce realistic P&L figures. 4. Reporting & Communication * Prepare and distribute clear daily risk reports to the senior management, covering VaR, key exposures, margin utilization, and limit status. * Conduct regular reviews with traders on risk positioning, proactively flag elevated risks or limit concerns, and discuss stress test results and margin optimization opportunities. ## Qualifications * Strong proficiency in Value at Risk (VaR) methodologies and risk system management. * Hands-on experience with futures margining (especially SPAN), FCM reconciliation, and margin optimization tools. * Practical understanding of futures markets, including spreads and basis trading. * Solid knowledge of listed options Greeks and equity portfolio risk. * Familiarity with P&L attribution concepts and how they relate to risk monitoring. * 2–5 years of relevant experience in risk at a prop trading firm, hedge fund, or futures clearing organization. * Advanced Excel skills; Python or SQL experience is a plus. * Bachelor's degree or higher in Finance, Mathematics, Statistics, Engineering, or a related quantitative field. CFA or FRM is preferred but not required. ## Additional Information What we offer: * Experience a modern international technology company without the burden of bureaucracy. * Collaborate with industry-leading professionals, including former employees of Tower, DRW, Broadridge, Credit Suisse, and more. * Enjoy excellent opportunities for professional growth and self-realization. * Work remotely from anywhere in the world with a flexible schedule. * Receive compensation for health insurance, sports activities, and non-professional training.", "summaryDescription" : "Risk Analyst at BHFT. Skills: Risk management, VaR methodologies, Futures margining. Operate and maintain VaR systems daily. Capture positions and strategies", "postedDate" : "2026-06-15T07:38:31.000", "createdAt" : "2026-06-15T21:32:17.448", "lastUpdated" : "2026-06-16T02:36:53.987", "ingestTimestamp" : "2026-06-15T21:32:17.448", "mongoId" : "6a304f0df292fd229cee4ad6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Futures margining", "Listed options Greeks", "Equity portfolio risk", "Risk management", "VaR methodologies", "P&L attribution", "Liquidity reserve modeling", "Margin reconciliation", "Scenario analysis", "Algorithmic trading", "Proprietary trading", "Futures markets", "Listed options", "FCM reconciliation", "CFA", "FRM", "Risk systems", "Margin tools", "Excel", "Python", "SQL" ], "skillCount" : 21, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 1152.2749, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c938274d8ee00a0988435", "title" : "Head Of Risk", "company" : "AlgoQuant Asset Management", "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-15T13:44:22.469", "fingerprint" : "e8fcfda4dc2a96814d6565c533803d1084f199e9da39336dd6e354db79f1ec9b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/algoquant/jobs/4873731101", "externalId" : "4873731101", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United Arab Emirates", "continent" : "as", "workMode" : "remote" }, { "country" : "United Kingdom", "continent" : "eu", "workMode" : "remote" }, { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United Arab Emirates; United Kingdom; United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 6, "experienceMaxYears" : 10, "experienceLevel" : "Lead", "technicalSkills" : "digital asset markets", "professionalSkills" : [ "digital asset markets, TradFi background — investment banking, multi-strategy hedge fund, or systematic trading firm, multi-strategy or multi-manager environment" ], "hardSkillsList" : [ "market risk", "trading risk", "VaR", "drawdown controls", "leverage limits", "stress testing" ], "softSkillsList" : [ "execution-focused, self-starter, paranoid approach to risk" ], "hardSkills" : [ { "name" : "market risk", "level" : "intermediate" }, { "name" : "trading risk", "level" : "intermediate" }, { "name" : "VaR", "level" : "intermediate" }, { "name" : "drawdown controls", "level" : "intermediate" }, { "name" : "leverage limits", "level" : "intermediate" }, { "name" : "stress testing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "execution-focused, self-starter, paranoid approach to risk" } ], "majorSkills" : "risk monitoring, stress testing, risk reporting, digital asset markets, market risk", "majorSkillsList" : [ "risk monitoring, stress testing, risk reporting, digital asset markets, market risk" ], "coreResponsibilities" : "Own day-to-day risk monitoring across all active trading pods and external manager allocations. Stress-test portfolio exposures, drawdown limits, leverage, and concentration risk continuously. Monitor counterparty, custody, and operational risk across exchange and prime brokerage relationships. Enforce risk parameters with portfolio managers and flag breaches in real time. Produce concise risk reporting for leadership and institutional investors. Assess risk on new strategy onboardings, exchange relationships, and product launches. Build the risk function from the ground up with a view to stepping into CRO over time.", "teamCollaboration" : "Comfortable operating as a team of one — a self-starter who does not need infrastructure around them.", "communicationSkills" : "concise risk reporting", "problemSolvingSkills" : "risk analysis", "specialRequirements" : "Dubai (preferred)", "qualificationsBasic" : "TradFi background — investment banking, multi-strategy hedge fund, or systematic trading firm. Hands-on market risk or trading risk experience — not primarily compliance or AML. Experience in a multi-strategy or multi-manager environment. Comfortable operating as a team of one — a self-starter who does not need infrastructure around them. Deep familiarity with VaR, drawdown controls, leverage limits, and stress testing. Exposure to digital asset markets, either directly or through a crypto desk. A genuinely paranoid approach to risk — not comfortable until every number has a clear explanation.", "qualificationsPreferred" : "Ambition to grow into a CRO role within two to three years.", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Head of Risk AlgoQuant Asset Management Dubai (preferred) · London · New York – Reports to President – Start: Q3 2025 About AlgoQuant AlgoQuant Asset Management is a multi-strategy digital asset manager allocating capital across 25+ internal and external quantitative trading pods. Founded in 2018, we have evolved into an institutional platform combining trading edge with strong governance and advanced technology, serving family offices and institutional investors globally. The role This is AlgoQuant’s founding risk hire — a high-ownership, execution-focused position for a risk professional who thrives in a live, fast-moving trading environment. You will build and own the day-to-day risk oversight function across the firm’s full portfolio of trading strategies and external manager allocations, reporting directly to the President. We are not looking for a visionary or a manager of teams. We are looking for someone who does the work themselves — checks everything, questions every green light, and is only satisfied when they understand exactly why the risk is where it is. The role carries a clear path to Chief Risk Officer as AlgoQuant scales. Responsibilities Own day-to-day risk monitoring across all active trading pods and external manager allocations Stress-test portfolio exposures, drawdown limits, leverage, and concentration risk continuously Monitor counterparty, custody, and operational risk across exchange and prime brokerage relationships Enforce risk parameters with portfolio managers and flag breaches in real time Produce concise risk reporting for leadership and institutional investors Assess risk on new strategy onboardings, exchange relationships, and product launches Build the risk function from the ground up with a view to stepping into CRO over time What we are looking for TradFi background — investment banking, multi-strategy hedge fund, or systematic trading firm Hands-on market risk or trading risk experience — not primarily compliance or AML Experience in a multi-strategy or multi-manager environment Comfortable operating as a team of one — a self-starter who does not need infrastructure around them Deep familiarity with VaR, drawdown controls, leverage limits, and stress testing Exposure to digital asset markets, either directly or through a crypto desk A genuinely paranoid approach to risk — not comfortable until every number has a clear explanation Ambition to grow into a CRO role within two to three years", "summaryDescription" : "Head Of Risk at AlgoQuant Asset Management. Skills: risk monitoring, stress testing, risk reporting, digital asset markets, market risk. Own day-to-day risk monitoring across all active trading pods and external manager allocations. Stress-test portfolio exposures, drawdown limits, leverage, and concentration risk continuously. Monitor counterparty, custody, and operational risk across exchange and prime brokerage relationships. Enforce risk parameters with portfolio managers and flag breaches i", "postedDate" : "2026-06-14T20:05:03.812", "createdAt" : "2026-06-14T20:05:03.812", "lastUpdated" : "2026-06-15T13:44:22.469", "ingestTimestamp" : "2026-06-14T20:05:03.812", "mongoId" : "6a2c938274d8ee00a0988435", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "market risk", "trading risk", "VaR", "drawdown controls", "leverage limits", "stress testing", "execution-focused, self-starter, paranoid approach to risk", "risk monitoring, stress testing, risk reporting, digital asset markets, market risk", "digital asset markets, TradFi background — investment banking, multi-strategy hedge fund, or systematic trading firm, multi-strategy or multi-manager environment" ], "skillCount" : 9, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "_score" : 1150.7375, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c5f3f74d8ee00a08ea505", "title" : "Director, Treasury - Risk, Strategy, & Bank Reporting", "company" : "Nscale", "salary" : { "min" : 1.0E7, "max" : 1.5E7, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Director of Treasury in the Technology industry, adjusted for seniority and remote work." }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-14T19:08:53.785", "fingerprint" : "6d90e8e1422a134848e1a1b3332d0765f5b1b7c04f249cb2d30850a6c1df33d3", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/nscaleoperationsukltd/jobs/4838372101", "externalId" : "4838372101", "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "experienceLevel" : "Director", "professionalSkills" : [ "Treasury risk", "Liquidity planning", "Treasury analytics", "Treasury controls", "Capital allocation", "Financing strategy", "Interest rate risk", "FX risk", "Counterparty risk", "Refinancing risk" ], "hardSkillsList" : [ "Debt agreements", "Compliance mechanics", "Treasury controls", "Cash flow forecasting", "Liquidity modeling", "Process enhancement" ], "hardSkills" : [ { "name" : "Debt agreements", "level" : "intermediate" }, { "name" : "Compliance mechanics", "level" : "intermediate" }, { "name" : "Treasury controls", "level" : "intermediate" }, { "name" : "Cash flow forecasting", "level" : "intermediate" }, { "name" : "Liquidity modeling", "level" : "intermediate" }, { "name" : "Process enhancement", "level" : "intermediate" } ], "majorSkills" : "Treasury reporting, Risk management, Liquidity oversight", "majorSkillsList" : [ "Treasury reporting", "Risk management", "Liquidity oversight" ], "coreResponsibilities" : "Support treasury risk framework, Support treasury governance framework, Monitor covenants, Manage compliance certificates, Manage bank reporting obligations, Manage treasury policies, Manage treasury controls, Manage SOX design, Manage SOX documentation, Support SOX testing, Enhance treasury controls, Maintain 13-week cash forecast, Coordinate rating agency materials, Coordinate lender materials, Coordinate risk committee materials, Coordinate board materials, Report on liquidity risk, Report on leverage risk, Report on covenant risk, Report on market risk, Support reporting on interest rate risk, Support reporting on FX risk, Support reporting on counterparty risk, Support reporting on refinancing risk, Recommend mitigation strategies, Partner on new facilities onboarding, Ensure compliance for new facilities, Ensure reporting for new facilities, Drive process improvement, Drive automation, Drive data quality", "teamCollaboration" : "Partnership with accounting; Partnership with controllership; Partnership with FP&A; Partner with capital markets; Partner with treasury operations; Partner with Legal; Partner with Corp Dev; Partner with Strategy; Partner with Internal Audit", "domainKnowledge" : "Treasury; Corporate finance; Debt agreements; Liquidity risk; SOX; Bank reporting", "domainList" : [ "treasury", "corporate-finance", "debt-agreements", "liquidity-risk", "sox", "bank-reporting" ], "domainSpecificKnowledge" : [ "Treasury", "Corporate finance", "Debt agreements", "Liquidity risk", "SOX", "Bank reporting" ], "communicationSkills" : "Senior level reporting; Presenting insights", "documentationSkills" : "SOX documentation", "problemSolvingSkills" : "Treasury analytics; Scenario analysis", "outcomesObjectives" : "No surprises on covenants; No surprises on reporting deadlines; No surprises on control obligations; Credible forward view of cash needs; Credible forward view of liquidity needs; Credible forward view of funding needs; Actionable scenario analysis; Actionable reporting", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : ". About Nscale Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale enables AI-focused companies to achieve superior results by reducing the complexity of AI development. Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility. We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you’ll build trust through openness and transparency, where everyone is inspired to do their best work. If you join our team, you’ll be contributing to building the technology that powers the future. About the Role (Job Purpose) Nscale is seeking an experienced treasury professional to help lead treasury policies, governance, liquidity risk oversight, covenant compliance, bank deliverables, and senior level treasury reporting. This role sits at the centre of treasury decision-making. It will own short and medium-term liquidity planning, treasury analytics, treasury controls, and support capital allocation and financing strategy. This person should be as comfortable building key metrics reports and models as they are presenting insights. What You’ll be Doing (Responsibilities) What you will own · Support the company’s treasury risk and governance framework, including covenant monitoring, compliance certificates, bank reporting obligations, treasury policies, and related controls · Manage treasury SOX design, documentation, testing support, and control enhancement in partnership with accounting, audit, and controllership · Maintain Treasury’s 13-week cash forecast in partnership with the Treasury Operations and FP&A team members · Coordinate preparation of materials for rating agencies, lenders, risk committees, and boards, including liquidity, leverage, covenant, and market risk reporting · Support reporting on interest rate, FX, counterparty, and refinancing risk exposures and recommend mitigation strategies · Partner with capital markets and treasury operations to ensure new facilities are onboarded cleanly into ongoing compliance and reporting processes · Drive process improvement, automation, and data quality across treasury reporting What success looks like · No surprises on covenants, reporting deadlines, or control obligations · Treasury has a credible forward view of cash, liquidity, and funding needs. · Leadership gets actionable scenario analysis and reporting · The role becomes a trusted partner to Legal, Corp Dev / Strategy, Accounting, and Internal Audit About You (Skills / Qualifications) 10+ years of experience in corporate treasury, corporate finance, or a closely related field Strong understanding of debt agreements, compliance mechanics, and treasury controls Ability to support liquidity planning, modeling, controls, and process enhancement What We Can Offer You At Nscale, you'll find a collaborative, supportive, and innovative environment where your contributions spark real impact. We're building something extraordinary, and we want you at the core. ● Highly competitive package (base + equity) with reviews every 12 months. \uD83D\uDE80 ● Join the fastest-growing tech startup, your chance to push boundaries, collaborate with brilliant minds, and make your mark on cutting-edge AI. ✨ ● Expect a dynamic progression plan tailored to your ambitions. Grow by trying new things, leading, challenging the status quo, and owning your impact, always with our full support. ● Human-First Flexibility: We treat you as humans first. \uD83E\uDEF6\uD83C\uDFFD Our flexible workplace trusts Nscalers to deliver, giving you the autonomy to shape your day around life's moments. ● Join our thriving remote-first team. Geography is no barrier to impact or connection. We build seamless virtual collaboration, empowering you, wherever you work. Interview Process ● Phone screen ● Coding interview ● Hiring Manager interview Equal Opportunities Statement We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds. If there’s anything we can do to accommodate your specific situation, please let us know. The responsibilities outlined in this job description are not exhaustive and are intended to provide a general overview of the position. The employee may be required to perform additional duties, tasks, and responsibilities as assigned by management, consistent with the skills and qualifications required for the role. For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here.", "summaryDescription" : "Director, Treasury - Risk, Strategy, & Bank Reporting at Nscale. Skills: Treasury reporting, Risk management, Liquidity oversight. Support treasury risk framework. Support treasury governance framework", "postedDate" : "2026-06-12T21:57:59.956", "createdAt" : "2026-06-12T21:57:59.956", "lastUpdated" : "2026-06-14T19:08:53.785", "ingestTimestamp" : "2026-06-12T21:57:59.956", "mongoId" : "6a2c5f3f74d8ee00a08ea505", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Debt agreements", "Compliance mechanics", "Treasury controls", "Cash flow forecasting", "Liquidity modeling", "Process enhancement", "Treasury reporting", "Risk management", "Liquidity oversight", "Treasury risk", "Liquidity planning", "Treasury analytics", "Capital allocation", "Financing strategy", "Interest rate risk", "FX risk", "Counterparty risk", "Refinancing risk", "Treasury", "Corporate finance", "Liquidity risk", "SOX", "Bank reporting" ], "skillCount" : 23, "jobCategory" : "other", "jobSubcategory" : "treasury", "dataQualityScore" : 0.8888889, "_score" : 1142.3271, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2ca50374d8ee00a09b4337", "title" : "Senior Risk Manager", "company" : "Soft2Bet", "industry" : "FinTech", "salary" : { "min" : 120000.0, "max" : 140000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New Jersey, United States", "locations" : [ "New Jersey", "United States" ], "certifications" : [ "CAMS", "ICA" ], "timestamp" : "2026-06-15T10:53:17.120", "fingerprint" : "fd4b73d5e8639ad901c3f609074a626e26c7ff78e11fd1026859f8ec19f6223b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/soft2bet/jobs/4697679101", "externalId" : "4697679101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Fort Lee", "state" : "New Jersey", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.8509333,-73.9701382" } ], "locationText" : "Fort Lee, New Jersey, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL", "professionalSkills" : [ "Risk management", "Fraud prevention", "AML compliance", "VIP operations", "Transaction monitoring", "Regulatory reporting", "Operational strategy" ], "hardSkillsList" : [ "Risk reporting", "Data analysis", "Transaction analysis" ], "softSkillsList" : [ "Communication skills" ], "hardSkills" : [ { "name" : "Risk reporting", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Transaction analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Communication skills" } ], "majorSkills" : "Risk Management, Fraud Prevention, AML Compliance", "majorSkillsList" : [ "Risk Management", "Fraud Prevention", "AML Compliance" ], "coreResponsibilities" : "Compile risk reports, Distribute risk reports, Follow internal workflows, Offer clarification, Offer guidance, Prioritize withdrawals, Coordinate withdrawals, Ensure timely service, Deliver solutions, Ensure AML compliance, Conduct transaction monitoring, Escalate suspicious activity, Maintain AML policies, Enhance AML policies, Monitor player behavior, Monitor transaction patterns, Detect anomalies, Provide procedural advice, Support training initiatives, Embed risk culture", "teamCollaboration" : "Collaborate with Compliance; Collaborate with Operations; Cross-functional teams", "domainKnowledge" : "iGaming; Fintech; AML regulations; Gaming regulatory requirements", "domainList" : [ "igaming", "fintech", "aml-regulations", "gaming-regulatory-requirements" ], "domainSpecificKnowledge" : [ "iGaming", "Fintech", "AML regulations", "Gaming regulatory requirements" ], "toolProficiency" : [ "Bloomberg Terminal", "Reuters Eikon" ], "communicationSkills" : "Procedural advice", "problemSolvingSkills" : "Identify threats; Mitigate threats", "specialRequirements" : "100% Onsite, Frequent travel", "outcomesObjectives" : "Uphold regulatory standards; Support player experience", "qualificationsBasic" : "Bachelor's degree, 5+ years experience, AML regulations experience, Transaction monitoring experience, Filing SARs experience, Bonus abuse identification, Multi-accounting identification, Identity fraud identification, Advanced analytical skills, Manage VIP withdrawals, Prioritize workflows, Global gaming regulatory requirements, Compliance standards knowledge", "qualificationsPreferred" : "Relevant professional certifications", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you an experienced risk and fraud leader ready to safeguard one of the fastest-growing iGaming operations in the U. S. and beyond? Soft2Bet is a platform provider delivering casino and sports betting brands. With a performance‑first approach, the company combines strong product execution, localization and trusted local partnerships to drive sustainable growth across competitive regions, supported by a rigorous compliance culture and a focus on customer experience. \uD83D\uDCCD Location: Fort Lee, New Jersey ⏰ Work Mode: 100% Onsite (Hybrid, Remote not available) The Role \uD83D\uDEE0️ As the Senior Risk Manager, you’ll be a critical line of defense at the intersection of fraud prevention, AML, and VIP operations. You’ll lead the day-to-day risk workflows, coordinate VIP withdrawals, and collaborate closely with Compliance and Operations to uphold regulatory standards while supporting an exceptional player experience. What You’ll Do \uD83D\uDE80 Compile and distribute risk and performance reports to support ongoing analysis and decision-making. Follow internal workflows and procedures, offering clarification and guidance to managers when needed. Prioritize and coordinate the processing of withdrawals for VIP customers to ensure timely, high-touch service. Deliver effective solutions for various ad-hoc operational tasks and requests across the department. Ensure AML compliance in line with applicable regulatory requirements and internal policies. Conduct transaction monitoring and escalate suspicious activity reports (SARs) where appropriate. Collaborate with the Compliance Officer to maintain and enhance AML policies, procedures, and training programs. Monitor player behavior and transaction patterns to detect anomalies related to fraud, AML, or bonus abuse. Provide clear procedural advice to senior management on risk-related operational issues. Support internal training initiatives to embed a strong risk and compliance culture across the organization. What We’re Looking For \uD83C\uDFAF Bachelor’s degree in Business, Criminology, Finance, or a related field. 5+ years’ experience in Risk Management, Fraud, or Payments within the iGaming or Fintech sectors. Relevant professional certifications (e.g., CAMS, ICA) are highly desirable. Extensive experience with AML regulations, transaction monitoring, and filing SARs. Proven track record of identifying and mitigating complex threats such as bonus abuse, multi-accounting, and identity fraud. Advanced analytical skills with the ability to compile detailed risk reports and translate data into operational strategy. Direct experience managing high-value/VIP withdrawals and prioritizing workflows under pressure. In-depth understanding of global gaming regulatory requirements and compliance standards. Exceptional communication skills and the ability to collaborate effectively with Compliance Officers and cross-functional teams. Ability to work full-time from the Fort Lee, NJ office, with flexibility for frequent travel across North America. Why Join Soft2Bet? \uD83D\uDC8E ✅ Bonuses: Discretionary, performance based ✅ Benefits: Comprehensive medical, dental, and vision + 401(k) ✅ Time Off: Generous PTO policy ✅ Perks: Partially subsidized in-office breakfasts and lunches ✅ Culture: Collaborative, international team that celebrates milestones and wins together ✅ Growth: Strong opportunities for professional development and ownership within a scaling organization Soft2Bet is an Equal Opportunity Employer. We believe that different perspectives make us stronger and provide equal employment opportunities to all applicants regardless of race, color identity, religion, or any other protected status. If you have the drive and the skills, we want to hear from you. Salary range $120,000—$140,000 USD By submitting your application, you agree to our Privacy Policy.", "summaryDescription" : "Senior Risk Manager at Soft2Bet. Skills: Risk Management, Fraud Prevention, AML Compliance. Compile risk reports. Distribute risk reports", "postedDate" : "2026-06-14T01:51:04.964", "createdAt" : "2026-06-14T01:51:04.964", "lastUpdated" : "2026-06-15T10:53:17.120", "ingestTimestamp" : "2026-06-14T01:51:04.964", "mongoId" : "6a2ca50374d8ee00a09b4337", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 120000, "salaryAnnualMax" : 140000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Risk reporting", "Data analysis", "Transaction analysis", "Communication skills", "Risk Management", "Fraud Prevention", "AML Compliance", "Risk management", "Fraud prevention", "AML compliance", "VIP operations", "Transaction monitoring", "Regulatory reporting", "Operational strategy", "iGaming", "Fintech", "AML regulations", "Gaming regulatory requirements", "CAMS", "ICA", "Bloomberg Terminal", "Reuters Eikon" ], "skillCount" : 22, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 1135.0587, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c952574d8ee00a098c5f2", "title" : "Risk Manager", "company" : "Goodman", "industry" : "Real Estate", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager Risk Manager in Real Estate in Luxembourg, Luxembourg, adjusted for company size and industry." }, "location" : "Luxembourg, Luxembourg", "locations" : [ "Luxembourg", "Luxembourg" ], "timestamp" : "2026-06-15T12:33:30.692", "fingerprint" : "2d3f0e9c8ffff47adf6efe18d07c8599dd3900af729c02af16fe850861a3aa2a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://ce.goodman.com/about-goodman/careers/job-vacancies?gh_jid=8551521002", "externalId" : "8551521002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Luxembourg", "country" : "Luxembourg", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "49.6112768,6.1297990" } ], "locationText" : "Luxembourg, Luxembourg", "experienceMinYears" : 5, "experienceLevel" : "Manager", "professionalSkills" : [ "Risk management", "Stakeholder management", "Governance", "Documentation" ], "hardSkillsList" : [ "Risk assessment", "Data analysis", "Reporting" ], "hardSkills" : [ { "name" : "Risk assessment", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" } ], "majorSkills" : "Risk management, Regulatory compliance", "majorSkillsList" : [ "Risk management", "Regulatory compliance" ], "coreResponsibilities" : "Act as owner of CE risk policy, Act as ambassador of CE risk policy, Serve as subject matter expert, Coordinate risk register management, Promote risk culture, Promote risk management practices, Collect AIFM risk metrics, Validate AIFM risk metrics, Monitor AIFM risk metrics, Prepare AIFM Risk Reports, Ensure compliance with CSSF Circular 18/698, Coordinate Luxembourg IT filings, Support ICT risk framework implementation, Contribute to ICT risk policies, Contribute to ICT risk procedures, Contribute to ICT risk registers, Respond to regulatory requests, Respond to supervisory inquiries, Collaborate with Group IT teams, Collect enterprise risk data, Analyse enterprise risk data, Consolidate enterprise risk data, Maintain enterprise risk register, Enhance enterprise risk register, Design risk management processes, Implement risk management processes, Design governance practices, Implement governance practices, Develop dashboards, Develop reporting tools", "teamCollaboration" : "Development teams; Operational teams; Group IT teams", "domainKnowledge" : "CSSF Circular 18/698; AIFM directive; ICT risk framework", "domainList" : [ "cssf-circular-18-698", "aifm-directive", "ict-risk-framework" ], "domainSpecificKnowledge" : [ "CSSF Circular 18/698", "AIFM directive", "ICT risk framework" ], "documentationSkills" : "Risk reporting; Regulatory filings", "problemSolvingSkills" : "Analytical abilities; Problem-solving abilities", "specialRequirements" : "Provide criminal certificate", "qualificationsBasic" : "5 years of experience, Degree in Business Administration, Degree in Finance, Degree in Risk Management, Familiar with CSSF 18/698, Familiar with AIFM directive, Fluent in English", "qualificationsPreferred" : "Experience in real estate industry, Experience in infrastructure industry", "rawDescription" : "Always wanted to challenge the obvious and make great things happen? At Goodman we create space for your greatness. Goodman Group (GMG:ASX) is a global real estate group, founded in 1999, with a focus on critical infrastructure. Our organization is a real estate company, acting as long-term investor, developer, fund manager, and property manager. We continuously expand our portfolio, which also includes data centre (DC) projects. Goodman’s business is growing rapidly. As a result, there is an increased need to provide increased visibility on risk exposure across the teams of continental Europe. Today, we are looking for a Risk Manager for Continental Europe (CE), who will play a central role in strengthening and coordinating the organisation’s CE’s approach to risk management, while ensuring regulatory compliance to risk requirements and effective stakeholder engagement. The main responsibilities are the following: Risk Framework Governance Act as owner and ambassador of the CE risk policy and risk register framework. Serve as the subject matter expert and central coordinator for risk register management across development and operational teams. Promote a strong risk culture and consistent risk management practices throughout the organization. AIFM Risk Management Collect, validate, and monitor AIFM-specific risk metrics and KPIs. Prepare comprehensive AIFM Risk Reports in support of the AIFM Conducting Officer for Risk. Ensure ongoing compliance with CSSF Circular 18/698 and related regulatory requirements. ICT Risk Management Coordinate Luxembourg IT-related regulatory filings and support the implementation of the ICT risk framework. Contribute to the development, maintenance, and enhancement of ICT risk management policies, procedures, and registers. Respond to ad hoc regulatory requests and supervisory inquiries. Collaborate closely with Group IT teams on IT risk assessments, reporting, and risk mitigation initiatives. Enterprise Risk Management Collect, analyse, and consolidate data to maintain and enhance the CE enterprise risk register. Design and implement robust risk management processes and governance practices. Develop insightful dashboards and reporting tools to enhance transparency of risk exposure, assessments, and mitigation activities. In this role, you will report to the Lead Risk, Legal & Compliance. Do you recognize yourself? Minimum of 5 years of experience in a relevant risk or audit role Degree or equivalent qualification in Business Administration, Business Automation Finance, Risk Management, … Familiar with CSSF 18/698 and AIFM directive Experience in real estate or infrastructure industry is a plus. Strong analytical and problem-solving abilities with attention to detail. Proficient stakeholder management Strong governance and documentation skills Fluent in English. Successful candidates will be subject to a screening procedure and will be requested to provide a criminal certificate. Not sure if you fit the profile? Let’s find out together! But first, let us introduce ourselves a little more: Goodman Group is a provider of essential infrastructure. We own, develop and manage high quality, sustainable logistics properties and data centers in major global cities, that are critical to the digital economy. Goodman operates in key consumer markets in 15 countries across Asia Pacific, Europe and the Americas. We are the largest property group listed on the Australian Securities Exchange and invest significantly alongside our capital partners in our investment Partnerships. Our Continental European headquarter is based in Belgium and we are active in 7 European countries, including offices in Amsterdam, Brussels, Düsseldorf, Hamburg, Frankfurt, Munich, Luxembourg, Madrid, Barcelona, Milan and Paris. Our culture is based on collaboration, ownership and seizing the opportunity. We take full responsibility for our work, support each other’s success and make room for growth for everyone. How do we look at the world of tomorrow? At Goodman we believe we all have a role to play in safeguarding the future for next generations. Therefore, sustainability is the driving force behind everything we do. Not only do we foster a sustainable and inclusive working environment for all our employees but also, throughout all our projects, we are continuously engaged in a process to assess its sustainability. Each aspect of the properties’ lifecycle is scrutinized on its future proofness for decades to come, resulting in a low ecological footprint over time. At Goodman, we believe it’s not enough to talk the talk — we also need to walk the walk.", "summaryDescription" : "Risk Manager at Goodman. Skills: Risk management, Regulatory compliance. Act as owner of CE risk policy. Act as ambassador of CE risk policy", "postedDate" : "2026-06-13T22:27:25.183", "createdAt" : "2026-06-13T22:27:25.183", "lastUpdated" : "2026-06-15T12:33:30.692", "ingestTimestamp" : "2026-06-13T22:27:25.183", "mongoId" : "6a2c952574d8ee00a098c5f2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Risk assessment", "Data analysis", "Reporting", "Risk management", "Regulatory compliance", "Stakeholder management", "Governance", "Documentation", "CSSF Circular 18/698", "AIFM directive", "ICT risk framework" ], "skillCount" : 11, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 1128.9205, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Real Estate", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ac1bf74d8ee00a06f51b2", "title" : "Consultant- Data Aggregation(336)", "company" : "Beghou", "industry" : "Consulting", "salary" : { "min" : 1250000.0, "max" : 2100000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Consultant- Data Aggregation in the Healthcare industry in Pune, India, adjusted for company size and specific role." }, "location" : "Pune, Maharashtra", "locations" : [ "Pune, Maharashtra" ], "timestamp" : "2026-06-15T01:23:35.563", "fingerprint" : "d8db234c24d2c86b752f28836bdb6beb065ad2089141941b95a81507050ec26b", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/beghouconsulting/211843ae-0d0a-46d1-8949-be65d56df1b7/apply", "externalId" : "211843ae-0d0a-46d1-8949-be65d56df1b7", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Pune", "state" : "Maharashtra", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "18.5213738,73.8545071" } ], "locationText" : "Pune, Maharashtra, India", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, PySpark, Snowflake, Redshift, Airflow, Databricks", "professionalSkills" : [ "Data aggregation", "Data management", "Data modeling", "Data analytics", "Commercialization strategies", "Strategic insight", "Advanced analytics", "Technology solutions", "Client success", "Data privacy protocols", "De-identification methodologies", "Data governance", "Data provenance", "Data transformation", "Security assessments", "Client communication" ], "hardSkillsList" : [ "Tokenization", "Expert determination", "Data standardization", "Data aggregation", "Data privacy", "Data integrity", "Re-identification risk", "Data quality", "Data handling", "Anonymized datasets", "Secure data pipelines", "Patient-level data", "HISEC-compliant environment" ], "hardSkills" : [ { "name" : "Tokenization", "level" : "intermediate" }, { "name" : "Expert determination", "level" : "intermediate" }, { "name" : "Data standardization", "level" : "intermediate" }, { "name" : "Data aggregation", "level" : "intermediate" }, { "name" : "Data privacy", "level" : "intermediate" }, { "name" : "Data integrity", "level" : "intermediate" }, { "name" : "Re-identification risk", "level" : "intermediate" }, { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Data handling", "level" : "intermediate" }, { "name" : "Anonymized datasets", "level" : "intermediate" }, { "name" : "Secure data pipelines", "level" : "intermediate" }, { "name" : "Patient-level data", "level" : "intermediate" }, { "name" : "HISEC-compliant environment", "level" : "intermediate" } ], "majorSkills" : "Data Aggregation, Data Privacy, Python, PySpark", "majorSkillsList" : [ "Data Aggregation", "Data Privacy", "Python", "PySpark" ], "coreResponsibilities" : "Collect patient-level data, Clean patient-level data, Aggregate patient-level data, Apply tokenization techniques, Perform expert determination de-identification, Support expert determination de-identification, Evaluate re-identification risk, Minimize re-identification risk, Ensure HIPAA compliance, Ensure institutional privacy policies compliance, Manage secure data pipelines, Maintain secure data pipelines, Manage secure data repositories, Maintain secure data repositories, Assist in SOP development, Support anonymized dataset generation, Monitor data quality, Flag inconsistencies, Ensure proper documentation, Provide support for audits, Provide support for security assessments, Provide support for data governance reviews, Design Data aggregation solutions, Implement Data aggregation solutions, Synthesize findings, Develop recommendations, Communicate results to clients, Communicate results to internal teams, Assume project management responsibilities, Manage onshore/client communication, Lead meetings, Draft agendas, Manage multiple projects simultaneously, Meet deadlines", "teamCollaboration" : "Cross-functional teams", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "U. S. pharmaceutical datasets; HIPAA; GDPR; HISEC standards; Data privacy regulations", "domainList" : [ "u-s-pharmaceutical-datasets", "hipaa", "gdpr", "hisec-standards", "data-privacy-regulations" ], "domainSpecificKnowledge" : [ "U. S. pharmaceutical datasets", "HIPAA", "GDPR", "HISEC standards", "Data privacy regulations" ], "toolProficiency" : [ "Microsoft Office", "Snowflake", "Redshift", "Airflow", "Databricks workflows" ], "communicationSkills" : "Verbal communication; Written communication; Convey complex information", "documentationSkills" : "Data provenance documentation; Data transformation documentation", "problemSolvingSkills" : "Logical thinking; Problem-solving skills", "specialRequirements" : "3-4 hours overlap with US working hours", "qualificationsBasic" : "4+ years consulting-industry experience, Engineering/Master’s Degree in Computer Science, programming skills in Python, working knowledge of PySpark, understanding of U. S. pharmaceutical datasets, Experience with tokenization tools/methods, experience with expert determination for de-identification, understanding of HIPAA, understanding of GDPR, understanding of related data privacy regulations, organizational abilities, effective time management skills, Ability to thrive in an international matrix environment, willingness to support US clients during US working hours with 3-4 hours of overlap", "qualificationsPreferred" : "Tier-I/Tier-II institution/university, evidence of academic performance", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Description Beghou brings over three decades of experience helping life sciences companies optimize their commercialization through strategic insight, advanced analytics, and technology. From developing go-to-market strategies and building foundational data analytics infrastructures to leveraging artificial intelligence to improve customer insights and engagement, Beghou helps life sciences companies maximize performance across their portfolios. Beghou also deploys proprietary and third-party technology solutions to help companies forecast performance, design territories, manage customer data, organize, and report on medical and commercial data, and more. Headquartered in Evanston, Illinois, we have 10 global offices. Our mission is to bring together analytical minds and innovative technology to help life sciences companies navigate the complexity of health care and improve patient outcomes. The Patient Data Aggregator is responsible for the secure collection, standardization, and aggregation of sensitive patient data across multiple systems to support clinical, operational, and research needs. This role requires a strong understanding of data privacy protocols, including de-identification methodologies such as tokenization and expert determination, and must operate within a HISEC-compliant (High Security) environment. The candidate will collaborate with cross-functional teams to ensure data is managed in a secure, compliant, and usable manner. If you are passionate about utilizing your expertise in U.S. pharmaceutical datasets to drive client success, we invite you to apply for this exciting opportunity! ## We'll trust you to Collect, clean, and aggregate patient-level data from Electronic Health Records (EHRs), lab systems, and external databases. Apply tokenization techniques to replace direct identifiers while preserving data integrity for linkage and analysis. Perform or support expert determination de-identification processes to evaluate and minimize re-identification risk in datasets. Ensure all activities comply with HIPAA, and institutional privacy policies, particularly within HISEC environments Manage and maintain secure data pipelines and repositories for sensitive patient information. Assist in the development of standard operating procedures (SOPs) for secure data aggregation and handling. Support the generation of anonymized datasets for research, analytics, or external data sharing initiatives. Monitor data quality, flag inconsistencies, and ensure proper documentation of data provenance and transformation. Provide support for audits, security assessments, and internal data governance reviews. Design and implement end-to-end Data aggregation solutions tailored to business requirements using Python and Pyspark. Synthesizes findings, develops recommendations, and communicates results to clients and internal teams. Assumes project management responsibilities for Data aggregation implementation on each project with minimal supervision, including managing onshore/client communication, leading meetings, and drafting agendas Manage multiple projects simultaneously while meeting deadlines ## You'll need to have Engineering/Master’s Degree from a Tier-I/Tier-II institution/university in Computer Science or relevant concentration, with evidence of strong academic performance. 4+ years of relevant consulting-industry experience Deep understanding of data management best practices, data modeling and data analytics Strong understanding of U.S. pharmaceutical datasets and their applications Experience with tokenization tools/methodsand expert determination for de-identification. Logical thinking and problem-solving skills along with an ability to collaborate. Familiarity with HISEC standards or other high-security frameworks Strong programming skills in Python and working knowledge of PySpark. Proficiency in Microsoft Office products,data analysis tools (e.g., Snowflake, Redshift) and job orchestration (Airflow, Databricks workflows) Strong understanding of HIPAA, GDPR, and related data privacy regulations. Excellent verbal and written communication skills, with the ability to convey complex information clearly to diverse audiences Strong organizational abilities and effective time management skills Ability to thrive in an international matrix environment and willingness to support US clients during US working hours with 3-4 hours of overlap. ## Additional Information At Beghou Consulting, you'll join a highly collaborative, values-driven team where technical excellence, analytical rigor, and personal growth converge. Whether you're passionate about AI innovation, building commercialization strategies, or shaping the next generation of data-first solutions in life sciences, this is a place to make an impact!", "summaryDescription" : "Consultant- Data Aggregation(336) at Beghou. Skills: Data Aggregation, Data Privacy, Python, PySpark. Collect patient-level data. Clean patient-level data", "postedDate" : "2026-06-11T08:44:56.881", "createdAt" : "2026-06-11T08:44:56.881", "lastUpdated" : "2026-06-15T01:23:35.563", "ingestTimestamp" : "2026-06-12T06:36:58.352", "mongoId" : "6a2ac1bf74d8ee00a06f51b2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Tokenization", "Expert determination", "Data standardization", "Data aggregation", "Data privacy", "Data integrity", "Re-identification risk", "Data quality", "Data handling", "Anonymized datasets", "Secure data pipelines", "Patient-level data", "HISEC-compliant environment", "Data Aggregation", "Data Privacy", "Python", "PySpark", "Data management", "Data modeling", "Data analytics", "Commercialization strategies", "Strategic insight", "Advanced analytics", "Technology solutions", "Client success", "Data privacy protocols", "De-identification methodologies", "Data governance", "Data provenance", "Data transformation", "Security assessments", "Client communication", "Project management", "U. S. pharmaceutical datasets", "HIPAA", "GDPR", "HISEC standards", "Data privacy regulations", "Microsoft Office", "Snowflake", "Redshift", "Airflow", "Databricks workflows" ], "skillCount" : 43, "jobCategory" : "other", "dataQualityScore" : 0.8888889, "_score" : 1120.2264, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Life Sciences" }, { "id" : "6a2c7b3774d8ee00a0948d9f", "title" : "Risk Analyst", "company" : "William Blair", "industry" : "Banking", "salary" : { "min" : 77000.0, "max" : 95000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Chicago, Illinois, United States", "locations" : [ "Chicago", "Illinois", "United States" ], "timestamp" : "2026-06-15T09:19:44.251", "fingerprint" : "a0ab11e8fbce13cbdfb7b9ba54bbfa1e1b4ed7d4b94289744a3e17341700d83c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.williamblair.com/Careers/job-description?gh_jid=5160583007", "externalId" : "5160583007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chicago", "state" : "Illinois", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.8755616,-87.6244212" } ], "locationText" : "Chicago, Illinois, United States", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 5, "technicalSkills" : "SQL", "professionalSkills" : [ "Risk management", "Financial risk", "Rate of failure", "Risk grading", "Enterprise risk management" ], "hardSkillsList" : [ "Quantitative analysis", "Risk mitigation", "Contingency planning", "Business continuity", "Emergency response", "Crisis communication" ], "hardSkills" : [ { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Risk mitigation", "level" : "intermediate" }, { "name" : "Contingency planning", "level" : "intermediate" }, { "name" : "Business continuity", "level" : "intermediate" }, { "name" : "Emergency response", "level" : "intermediate" }, { "name" : "Crisis communication", "level" : "intermediate" } ], "majorSkills" : "Risk analysis, Risk mitigation, Regulatory compliance", "majorSkillsList" : [ "Risk analysis", "Risk mitigation", "Regulatory compliance" ], "coreResponsibilities" : "Identify potential risks, Analyze potential risks, Forecast risk-related costs, Develop risk mitigation alternatives, Analyze risk mitigation alternatives, Apply risk principles, Apply risk methodologies, Aid business partners, Establish lines of defense, Address risks, Monitor effectiveness, Recommend solutions, Develop understanding of business areas, Identify specific risks, Analyze specific risks, Categorize risks, Assess severity of risks, Identify potential risk impact, Identify potential costs, Perform quantitative analysis, Collaborate with business partners, Recommend solutions to reduce risk, Recommend solutions to control risk, Develop reports, Develop presentations, Outline findings, Outline recommendations, Provide risk management perspective, Educate businesses, Advise on compliance, Update enterprise risk portfolio, Monitor progress on mitigation efforts, Develop contingency plans, Ensure compliance with rules, Ensure compliance with regulations, Ensure compliance with policies, Ensure compliance with procedures", "teamCollaboration" : "Cross-functional relationships", "projectManagementSkills" : [ "Project management", "Prioritization" ], "domainKnowledge" : "Enterprise risk management; Financial instruments; Regulatory frameworks; SOX; Basel III/IV; MiFID II; Dodd-Frank; FINRA; SEC; FCA; GDPR; AML/KYC; Equities; Fixed income; Derivatives; Options; Futures; Swaps; FX; Structured products; Private credit; VaR; CVaR; Stress testing; Monte Carlo; Factor models; Credit scoring", "domainList" : [ "enterprise-risk-management", "financial-instruments", "regulatory-frameworks", "sox", "basel-iii-iv", "mifid-ii", "dodd-frank", "finra", "sec", "fca", "gdpr", "aml-kyc", "equities", "fixed-income", "derivatives", "options", "futures", "swaps", "fx", "structured-products", "private-credit", "var", "cvar", "stress-testing", "monte-carlo", "factor-models", "credit-scoring" ], "domainSpecificKnowledge" : [ "Enterprise risk management", "Financial instruments", "Regulatory frameworks", "SOX", "Basel III/IV", "MiFID II", "Dodd-Frank", "FINRA", "SEC", "FCA", "GDPR", "AML/KYC", "Equities", "Fixed income", "Derivatives", "Options", "Futures", "Swaps", "FX", "Structured products", "Private credit", "VaR", "CVaR", "Stress testing", "Monte Carlo", "Factor models", "Credit scoring" ], "toolProficiency" : [ "Bloomberg Terminal", "Reuters Eikon", "FactSet" ], "communicationSkills" : "Written communication; Verbal communication", "problemSolvingSkills" : "Problem solving; Critical thinking", "qualificationsBasic" : "Bachelor's Degree required, 2-5 years financial services industry experience, 2-5 years risk management experience, Risk role experience, Audit role experience, Compliance role experience, Strong written communication skills, Strong verbal communication skills, Knowledge of enterprise risk principles, Knowledge of enterprise risk methodologies, Knowledge of applicable regulations, Ability to develop cross-functional relationships, Project management skills, Prioritization skills, Critical thinking skills, Problem solving skills", "qualificationsPreferred" : "Risk role experience preferred, Audit role experience preferred, Compliance role experience preferred", "workSiteFlexibility" : "Onsite", "rawDescription" : "Solutions for Today’s Challenges. Vision for Tomorrow’s Opportunities. Join William Blair, the Premier Global Partnership. The Risk Analyst will identify and analyze potential operational, financial, legal and regulatory risks that threaten the assets, earning capacity or success of the firm. Forecast risk-related costs, and develop and analyze alternatives for risk mitigation. Apply knowledge of enterprise risk management principles and methodologies to aid business partners in establishing lines of defense to address risks and monitor their effectiveness. Recommend solutions to address potential risk changes and future trends. Assist in educating employees on risk awareness and the firm’s enterprise risk management framework. Responsibilities include but may not be limited to: Develop and maintain an understanding of assigned business areas, including their current processes, systems, initiatives, market environment, and business strategies and challenges. Identify and analyze specific operational, financial, legal and regulatory risks that threaten the assets, earning capacity or success of the business area. Categorize and assess the severity of risks within a defined framework. Identify potential risk impact and costs to the firm. Utilize enterprise risk management principles and methodologies to perform quantitative analysis such as risk grading, financial risk, rate of failure. Collaborate with business partners to recommend solutions to reduce or control risk. Develop reports and presentations to outline findings and recommendations for risk mitigation opportunities and costs. Provide risk management perspective to business areas as they consider proposed changes in their organization, operations or systems. Educate businesses in understanding and addressing operational, legal and regulatory and financial risks. Identify and assess changes in government legislation and advise on compliance. Continuously update assigned components of the enterprise risk portfolio. Monitor progress on risk mitigation efforts. Develop contingency plans to deal with emergencies such as business continuity, emergency response, crisis communication. Ensure all work activities are in compliance with applicable rules, regulations, policies and procedures. Additional responsibilities as requested. Qualifications: Bachelor’s Degree required 2 – 5 years of financial services industry and risk management experience required, preferably in a risk, audit, or compliance roleStrong written and verbal communication skills Knowledge of enterprise risk principles and methodologies Knowledge of applicable regulations Ability to develop cross-functional relationships to achieve project objectives Project management and prioritization skills Critical thinking and problem solving skills #LI-MW #LI-HYBRID A reasonable estimate of the current base salary range at time of posting is below. Base salary does not include other forms of compensation or benefits. Actual base salary within the specified range is based on several factors, including but not limited to applicant's skills, prior relevant experience, specific degrees and certifications, job responsibilities, market considerations and, if applicable, the location of the position. This role is eligible for either a discretionary annual bonus (based on company, business unit and individual performance) and/or commission-based incentives. Our featured benefit offerings include medical, dental and vision coverage, employer paid short & long-term disability and life insurance, 401(k), profit sharing, paid time off, Maven family & fertility benefit, parental leave (including adoption, surrogacy, and foster placement), as well as other voluntary benefits. Salary Range $77,000—$95,000 USD About Our Firm William Blair strives to attract qualified candidates who specialize in investment banking, investment management, private wealth management, and other strategic resource groups. We are committed to empowering our colleagues to deliver client success and engage in our communities. Our firm has delivered trusted advice for nine decades, continuing to deepen our expertise and relationships across asset classes and markets throughout North America, Europe, and Asia. We provide advisory services, strategies, and solutions to meet clients’ evolving needs amid dynamic market conditions and varying industries. What sets us apart is that we are an independent partnership, with colleagues who have unique experiences, perspectives, and backgrounds. We empower our people to bring their best thinking so we can deliver the tailored, thoughtful work and problem-solving abilities that our clients expect. We invite you to learn more about us by visiting williamblair.com. William Blair is an equal opportunity employer. It complies with all laws and regulations that prohibit discrimination in employment practice because of race, color, religion, creed, ancestry, marital status, gender, age, national origin, sexual orientation, unfavorable discharge from the military service or on the basis of a physical or mental disability that is unrelated to the employee's ability to perform the duties of the job applied for. EOE m/f/d/v Be aware of hiring scams: William Blair has clear processes and guidelines with regards to recruiting. We do not request personal financial information in connection with an employment application nor does William Blair extend any employment offers without first conducting an interview through one of its registered offices. William Blair does not use instant messaging services such as WhatsApp, Telegram, or iMessage as part of the recruiting or interviewing process. Note to External Recruiters / Search Firms: William Blair does not accept unsolicited resumes and will not pay for any placement resulting from the receipt of an unsolicited resume. Any unsolicited resumes received will not be considered as a valid submission. Download William Blair's privacy policies for job applicants: California Consumer Privacy Act Privacy Notice (CCPA) General Data Protection Regulation Privacy Notice (GDPR) Contact us should you have any questions or concerns.", "summaryDescription" : "Risk Analyst at William Blair. Skills: Risk analysis, Risk mitigation, Regulatory compliance. Identify potential risks. Analyze potential risks", "postedDate" : "2026-06-14T03:14:31.150", "createdAt" : "2026-06-14T03:14:31.150", "lastUpdated" : "2026-06-15T09:19:44.251", "ingestTimestamp" : "2026-06-14T03:14:31.150", "mongoId" : "6a2c7b3774d8ee00a0948d9f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 77000, "salaryAnnualMax" : 95000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Quantitative analysis", "Risk mitigation", "Contingency planning", "Business continuity", "Emergency response", "Crisis communication", "Risk analysis", "Regulatory compliance", "Risk management", "Financial risk", "Rate of failure", "Risk grading", "Enterprise risk management", "Project management", "Prioritization", "Financial instruments", "Regulatory frameworks", "SOX", "Basel III/IV", "MiFID II", "Dodd-Frank", "FINRA", "SEC", "FCA", "GDPR", "AML/KYC", "Equities", "Fixed income", "Derivatives", "Options", "Futures", "Swaps", "FX", "Structured products", "Private credit", "VaR", "CVaR", "Stress testing", "Monte Carlo", "Factor models", "Credit scoring", "Bloomberg Terminal", "Reuters Eikon", "FactSet" ], "skillCount" : 44, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 1117.433, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2aa1a874d8ee00a06ab297", "title" : "Data Scientist (Risk)", "company" : "CloudWalk", "industry" : "Risk Intelligence", "salary" : { "min" : 150000.0, "max" : 250000.0, "currency" : "BRL", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Data Scientist in the FinTech industry in São Paulo, Brazil, adjusted for company size and onsite work mode." }, "location" : "São Paulo", "locations" : [ "São Paulo" ], "timestamp" : "2026-06-15T00:45:31.461", "fingerprint" : "6f31c28d532e329d30fa127fa57b56e5f82915734734c777bc9b180c74576247", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/cloudwalk/26136476-2f9d-45e4-a409-65155a8e1c8a/apply", "externalId" : "26136476-2f9d-45e4-a409-65155a8e1c8a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "São Paulo", "country" : "Brazil", "continent" : "sa", "source" : "llm", "workMode" : "onsite", "geo" : "-23.5506507,-46.6333824" } ], "locationText" : "São Paulo, Brazil", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, SQL, Scikit, PyTorch, TensorFlow, Google Cloud platform", "professionalSkills" : [ "Risk assessment", "Data analysis", "Predictive modeling", "Data-driven strategies", "Risk management", "Fraud detection" ], "hardSkillsList" : [ "Machine learning models", "Data visualization", "Data analysis", "Algorithm development" ], "softSkillsList" : [ "Research mindset", "Self-driven", "Curiosity", "Responsibility" ], "hardSkills" : [ { "name" : "Machine learning models", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Algorithm development", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Research mindset" }, { "name" : "Self-driven" }, { "name" : "Curiosity" }, { "name" : "Responsibility" } ], "majorSkills" : "Machine learning, Risk management, Data science, Fraud detection", "majorSkillsList" : [ "Machine learning", "Risk management", "Data science", "Fraud detection" ], "coreResponsibilities" : "Develop machine learning models, Optimize machine learning models, Detect fraud, Prevent fraud, Analyze data, Build predictive models, Implement data-driven strategies, Enhance risk management processes, Handle large-scale datasets, Extract meaningful insights, Develop sophisticated algorithms, Protect ecosystem", "teamCollaboration" : "Multidisciplinary team; Risk analysts; Data scientists; Software engineers; Multiple teams", "domainKnowledge" : "Risk assessment; Fintech sector; Payment industry", "domainList" : [ "risk-assessment", "fintech-sector", "payment-industry" ], "domainSpecificKnowledge" : [ "Risk assessment", "Fintech sector", "Payment industry" ], "toolProficiency" : [ "Scikit", "PyTorch", "TensorFlow" ], "communicationSkills" : "English; Portuguese", "problemSolvingSkills" : "Analytical skills; Attention to detail; Accuracy", "qualificationsBasic" : "Fluency in Python, Fluency in SQL, Solid Data Visualization skills, analytical skills, Communication skills", "qualificationsPreferred" : "Experience with financial or payment industry, Knowledge of distributed systems, Knowledge of parallel computing, Understanding DevOps practices", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Description About CloudWalk: We are not just another fintech unicorn. We are a pack of dreamers, makers, and tech enthusiasts building the future of payments. With millions of customers and a hunger for innovation, we're now expanding our neural network - literally and metaphorically. About The Team: The Risk Team is responsible for building the defense layer that keeps CloudWalk, its merchants, and users safe. We keep our ecosystem healthy by tracking down malicious activity and maintaining regulatory compliance while providing the best user experience. You will be part of a multidisciplinary team comprising risk analysts, data scientists, and software engineers, working collaboratively to enhance our risk management strategies. About The Job: As a Data Scientist on our Risk Team, your role is crucial in developing and optimizing machine learning models to detect and prevent fraud. You will be a key player in analyzing data, building predictive models, and implementing robust data-driven strategies to enhance our risk management processes. You will bridge the gap between theoretical data science and practical, scalable solutions in the fintech sector, with a specific focus on risk assessment and mitigation. Your work will involve handling large-scale datasets, extracting meaningful insights, and developing sophisticated algorithms to protect our ecosystem. ## What You'll Need to Succeed Fluency in Python and SQL. Proficient in ML libraries like Scikit, PyTorch , TensorFlow, etc. Experience with cloud-based services like the Google Cloud platform. Solid Data Visualization skills to create charts and dashboards. Strong analytical skills, ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. Detail-oriented with a strong research mindset. As a member of a fully remote and distributed team, you are expected to complete tasks autonomously, being highly collaborative and self-driven. We expect you to have the curiosity of a child with the responsibility of a grown-up. Communication skills. You should be able to communicate effectively with multiple teams. Ability to communicate and debate in English and Portuguese. ## Nice-to-have skills Experience with financial or payment industry Knowledge of distributed systems and parallel computing DevOps practices: Understanding DevOps practices, including continuous integration, continuous deployment, and containerization. ## Recruiting Process Outline Online technical assessment Technical interview Cultural interview. If you are not willing to do an online-quiz, please do not apply. ## Additional Information Join us at CloudWalk, where we’re not just engineering solutions; we’re building a smarter, AI-driven future for payments—together. By applying for this position, your data will be processed as per CloudWalk's Privacy Policy that you can read here in Portuguese and here in English. ", "summaryDescription" : "Data Scientist (Risk) at CloudWalk. Skills: Machine learning, Risk management, Data science, Fraud detection. Develop machine learning models. Optimize machine learning models", "postedDate" : "2026-06-10T23:14:36.053", "createdAt" : "2026-06-10T23:14:36.053", "lastUpdated" : "2026-06-15T00:45:31.461", "ingestTimestamp" : "2026-06-12T06:34:32.251", "mongoId" : "6a2aa1a874d8ee00a06ab297", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Machine learning models", "Data visualization", "Data analysis", "Algorithm development", "Research mindset", "Self-driven", "Curiosity", "Responsibility", "Machine learning", "Risk management", "Data science", "Fraud detection", "Risk assessment", "Predictive modeling", "Data-driven strategies", "Fintech sector", "Payment industry", "Scikit", "PyTorch", "TensorFlow" ], "skillCount" : 20, "jobCategory" : "other", "dataQualityScore" : 0.8888889, "_score" : 1112.5425, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "fintech" }, { "id" : "693c2b9070f0b99d584400a2", "title" : "Risk & Due Diligence Mgr, Risk and Resiliency", "company" : "Amazon Data Services UK Limited", "industry" : "Operations, IT, Support Engineering, Risk Family, Cloud Computing", "salary" : { "min" : 85000.0, "max" : 130000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in the Technology industry in London, UK, adjusted for seniority and company size." }, "location" : "London, England, GBR", "locations" : [ "London, England, GBR" ], "certifications" : [ "Project Management Professional (PMP)", "Professional Engineering License", "Architectural License" ], "timestamp" : "2026-06-15T03:39:46.489", "fingerprint" : "fee301f54b8d965cce43bf82418dbcefc6af09145a3bb5f70c31d91de8dfd2b7", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3137991/apply", "externalId" : "d6c423fa-1c30-46fd-959e-6a8d95b3d46c", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, England, United Kingdom", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 5, "experienceLevel" : "Manager", "professionalSkills" : [ "Technical program management", "Site selection", "Technical due diligence", "Risk management", "Infrastructure growth", "Investment analysis", "Site acquisition", "Design engineering", "Technology recommendations", "Development cost analysis", "Schedule impact analysis", "Process improvement", "Lean principles", "Six Sigma methodologies", "Preliminary design", "Business development" ], "hardSkillsList" : [ "Technical studies analysis", "Engineering studies", "Environmental studies", "Technical analysis", "Budget management", "Schedule establishment", "Risk escalation", "Trade-off analysis", "Multidisciplinary design" ], "softSkillsList" : [ "Leadership", "Advocacy" ], "hardSkills" : [ { "name" : "Technical studies analysis", "level" : "intermediate" }, { "name" : "Engineering studies", "level" : "intermediate" }, { "name" : "Environmental studies", "level" : "intermediate" }, { "name" : "Technical analysis", "level" : "intermediate" }, { "name" : "Budget management", "level" : "intermediate" }, { "name" : "Schedule establishment", "level" : "intermediate" }, { "name" : "Risk escalation", "level" : "intermediate" }, { "name" : "Trade-off analysis", "level" : "intermediate" }, { "name" : "Multidisciplinary design", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Advocacy" } ], "majorSkills" : "Risk analysis, Due diligence, Site selection, Infrastructure projects", "majorSkillsList" : [ "Risk analysis", "Due diligence", "Site selection", "Infrastructure projects" ], "coreResponsibilities" : "Lead technical site due diligence projects, Partner with stakeholders across AWS infrastructure, Shape AWS infrastructure growth and investments, Play key role in site selection, Scope technical studies and analysis, Evaluate prospective datacenter sites, Hire and oversee engineering consultancies, Understand inter-relationships between technical disciplines, Coordinate with internal stakeholders, Interpret analysis results, Make site acquisition recommendations, Make design recommendations, Make engineering recommendations, Make technology recommendations, Evaluate impact of site risks, Evaluate impact of site constraints, Guide AWS infrastructure expansion, Deliver technical site risk analysis, Deliver due diligence assessments, Own complex infrastructure projects, Adapt standard approaches, Contract engineering studies, Supervise engineering studies, Interpret engineering study results, Manage project budgets, Establish project schedules, Escalate technical risks, Escalate project risks, Make trade-offs based on priorities, Own multidisciplinary preliminary design, Assess real estate considerations, Assess engineering considerations, Assess construction considerations, Assess policy considerations, Assess environmental considerations, Assess planning considerations, Assess business development considerations, Make associated technical recommendations, Make associated business recommendations", "teamCollaboration" : "Partner with stakeholders; Coordinate with internal stakeholders; Cross-functional teams", "projectManagementSkills" : [ "Technical program management", "Project management", "Schedule management", "Budget management" ], "domainKnowledge" : "Datacenter site selection; Technical due diligence; AWS infrastructure; Engineering disciplines; Real estate; Construction; Environmental policy; Planning; Business development", "domainList" : [ "datacenter-site-selection", "technical-due-diligence", "aws-infrastructure", "engineering-disciplines", "real-estate", "construction", "environmental-policy", "planning", "business-development" ], "domainSpecificKnowledge" : [ "Datacenter site selection", "Technical due diligence", "AWS infrastructure", "Engineering disciplines", "Real estate", "Construction", "Environmental policy", "Planning", "Business development" ], "problemSolvingSkills" : "Risk assessment; Constraint analysis; Trade-off analysis", "qualificationsBasic" : "10+ years technical program management, Bachelor's degree engineering/scientific discipline, Multidisciplinary concept/preliminary design experience, Experience conducting workplace risk investigations, Bachelor's degree Construction Management/Architecture/Engineering", "qualificationsPreferred" : "Project Management Professional (PMP) certification, Experience leveraging technology/lean principles, Master's degree or above in engineering, Professional Engineering or Architectural License, 5+ years leading due diligence/design/engineering/land development", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Play a leading role in datacenter site selection and technical due diligence at Amazon. You will lead technical site due diligence projects, partnering with stakeholders across the AWS infrastructure organization, to shape the future of AWS’ infrastructure growth and investments. You will play a key role in site selection and site due diligence for new and existing AWS regions. You will scope the technical studies and analysis required to appropriately evaluate prospective datacenter sites, hire and oversee the work of engineering and technical consultancies, understand the inter-relationships between technical disciplines, coordinate with internal stakeholders, and interpret the results of this analysis to make site acquisition, design, engineering, and technology recommendations. You will evaluate the impact of identified site risks and constraints on development costs and schedules. The right person for this role will have a strong track record of technical program management, the demonstrated ability to deliver multiple high priority projects simultaneously, the ability to drive alignment across teams with competing priorities, and be a strong advocate for technical risk management. AWS Infrastructure Services (AIS) AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Key job responsibilities • Guiding the expansion of AWS infrastructure in new and existing regions by delivering technical site risk analysis and due diligence assessments. • Owning complex and ambiguous infrastructure projects where standard approaches, templates, designs, and processes either do not exist or need to be adapted to meet the needs of a specific project • Scoping, contracting, supervising, coordinating, and interpreting the results of engineering, environmental, and technical studies • Managing budgets, establishing schedules, escalating technical and project risks, and making trade-offs based on business priorities. • Owning the multidisciplinary preliminary design for our sites consistent with AWS design standards and technical specifications. Assessing and drawing conclusions from a wide range of real estate, engineering, construction, policy, environmental, planning, and business development considerations and making associated technical and business recommendations A day in the life ABOUT AWS: Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. About the team Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, AWS Infrastructure Services (AIS) AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. there’s nothing we can’t achieve in the cloud. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications: - Experience in conducting workplace risk investigations - Bachelor's degree in Construction Management, Architecture, Structural, Civil, Mechanical or Electrical Engineering - - 10+ years of technical program or project management experience - - Bachelor's degree in an engineering or scientific discipline, or equivalent experience - - Multidisciplinary concept/preliminary design experience Preferred Qualifications: - -Project Management Professional (PMP) certification - Experience leveraging technology and implementing lean principles / Six Sigma methodologies to drive process improvements or equivalent - Master's degree or above in engineering or equivalent - Professional Engineering or Architectural License - - 5+ years of experience leading due diligence, design, engineering and/or land development activities for large infrastructure projects Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Risk & Due Diligence Mgr, Risk and Resiliency at Amazon Data Services UK Limited. Skills: Risk analysis, Due diligence, Site selection, Infrastructure projects. Lead technical site due diligence projects. Partner with stakeholders across AWS infrastructure", "postedDate" : "2026-06-13T12:28:13.697", "createdAt" : "2026-06-13T12:28:13.697", "lastUpdated" : "2026-06-15T03:39:46.489", "ingestTimestamp" : "2026-06-13T12:28:13.697", "mongoId" : "693c2b9070f0b99d584400a2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3137991/apply", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Technical studies analysis", "Engineering studies", "Environmental studies", "Technical analysis", "Budget management", "Schedule establishment", "Risk escalation", "Trade-off analysis", "Multidisciplinary design", "Leadership", "Advocacy", "Risk analysis", "Due diligence", "Site selection", "Infrastructure projects", "Technical program management", "Technical due diligence", "Risk management", "Infrastructure growth", "Investment analysis", "Site acquisition", "Design engineering", "Technology recommendations", "Development cost analysis", "Schedule impact analysis", "Process improvement", "Lean principles", "Six Sigma methodologies", "Preliminary design", "Business development", "Project management", "Schedule management", "Datacenter site selection", "AWS infrastructure", "Engineering disciplines", "Real estate", "Construction", "Environmental policy", "Planning", "Project Management Professional (PMP)", "Professional Engineering License", "Architectural License" ], "skillCount" : 42, "jobCategory" : "operations", "dataQualityScore" : 1.0, "_score" : 1109.3988, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2ca65e74d8ee00a09bb053", "title" : "Senior Tech & Data Risk Manager", "company" : "bol. com", "industry" : "E-Commerce", "salary" : { "min" : 95000.0, "max" : 140000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Tech & Data Risk Manager in Utrecht, Netherlands, adjusted for the e-commerce industry and company size." }, "location" : "Utrecht, Utrecht, Netherlands", "locations" : [ "Utrecht", "Utrecht", "Netherlands" ], "timestamp" : "2026-06-15T10:45:11.965", "fingerprint" : "3032c3db9d841028e5fe0d1668467ee086fb44320bfc92e7feddd1e70e25080f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/bolcomen/jobs/8581814002", "externalId" : "8581814002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Utrecht", "state" : "Utrecht", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.0907006,5.1215634" } ], "locationText" : "Utrecht, Utrecht, Netherlands", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "rawDescription" : "x", "summaryDescription" : "Senior Tech & Data Risk Manager at bol. com", "postedDate" : "2026-06-13T21:59:24.486", "createdAt" : "2026-06-13T21:59:24.486", "lastUpdated" : "2026-06-15T10:45:11.965", "ingestTimestamp" : "2026-06-13T21:59:24.486", "mongoId" : "6a2ca65e74d8ee00a09bb053", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 1107.8043, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a16291c58b93c861e95a057", "title" : "Risk Assessor", "salary" : { "min" : 85000.0, "max" : 125000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Risk Assessor in Woodcliff Lake, United States, adjusted for industry and company size." }, "location" : "United States-New Jersey-Woodcliff Lake", "locations" : [ "United States-New Jersey-Woodcliff Lake" ], "timestamp" : "2026-06-15T08:42:43.431", "fingerprint" : "87c7e4533a79b9a6b9c2c49f417b418582bfaad4fc7695e8ac8ebcb4f7655efe", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=780360", "externalId" : "780360", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Woodcliff Lake", "state" : "New Jersey", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.0234304,-74.0665297" } ], "locationText" : "Woodcliff Lake, New Jersey, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "MS Office, Word, Excel", "professionalSkills" : [ "Environmental writing", "Organizational abilities", "Research abilities" ], "hardSkillsList" : [ "Environmental documentation" ], "softSkillsList" : [ "Leadership", "Critical thinking" ], "hardSkills" : [ { "name" : "Environmental documentation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Critical thinking" } ], "majorSkills" : "Environmental assessment, Technical writing", "majorSkillsList" : [ "Environmental assessment", "Technical writing" ], "coreResponsibilities" : "Prepare environmental documents", "teamCollaboration" : "Work independently; Part of a team", "domainKnowledge" : "Environmental Science", "domainList" : [ "environmental-science" ], "domainSpecificKnowledge" : [ "Environmental Science" ], "communicationSkills" : "Communication skills", "documentationSkills" : "Environmental documents", "problemSolvingSkills" : "Problem-solving abilities", "qualificationsBasic" : "Bachelor's degree, 5 years technical experience, 5 years field experience, Proficient with MS Office", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Required Qualifications Bachelor's degree in Environmental Science or closely related field 5 years technical and/or field experience preparing environmental documents Proficient with MS Office (Word, Excel) Strong environmental writing and communication skills Strong conceptual, organizational, problem-solving and research abilities Ability to work independently and as part of a team An attitude and commitment to being an active participant of our employee-owned culture is a must What We Believe HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees. United States-New Jersey-Woodcliff Lake", "summaryDescription" : "Risk Assessor. Skills: Environmental assessment, Technical writing. Prepare environmental documents", "createdAt" : "2026-06-14T08:39:00.869", "lastUpdated" : "2026-06-15T08:42:43.431", "ingestTimestamp" : "2026-06-14T08:39:00.869", "mongoId" : "6a16291c58b93c861e95a057", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 125000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Environmental documentation", "Leadership", "Critical thinking", "Environmental assessment", "Technical writing", "Environmental writing", "Organizational abilities", "Research abilities", "Environmental Science" ], "skillCount" : 9, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 1105.8105, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.85 }, { "id" : "69c94a889bc74574cbbb5147", "title" : "Risk Specialist", "company" : "ADCI", "industry" : "Investigation Loss Prevention, Risk Family, customer trust and partner support", "salary" : { "min" : 750000.0, "max" : 1250000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Risk Specialist in E-Commerce in Bengaluru, India, adjusted for mid-level experience and full-time employment." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-15T01:11:17.886", "fingerprint" : "3a260ae03a68ca8d6c66c6e39501bbb07f9bbdb9c2559e582ffdac2373a9b222", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3199246/apply", "externalId" : "55f5c9c8-cdef-4390-8d52-96e7c93915e4", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 1, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "SQL, Excel", "professionalSkills" : [ "Risk mitigation", "Process improvement", "Enforcement review", "Risk mining", "Queueing improvement", "Inventory decisions", "Seller experience", "Investigations", "Escalations", "Stakeholder management" ], "hardSkillsList" : [ "Data analysis" ], "softSkillsList" : [ "Judgement" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Judgement" } ], "majorSkills" : "Risk Specialist, Investigations, Bad actor investigations", "majorSkillsList" : [ "Risk Specialist", "Investigations", "Bad actor investigations" ], "coreResponsibilities" : "Perform investigation to identify bad actors, Mitigate risk by giving process improvement ideas, Create and update learning modules, Support program in driving improvements, Identify process improvement opportunities, Manage process improvement opportunities, Communicate to business leaders with data, Resolve issues with reduced guidance, Work in sync with Program Managers, Create mechanisms to achieve program goals, Create strategies to achieve program goals, Track progress on key goals, Report progress on key goals, Adhere to set targets, Manage escalations on routine tasks, Manage escalations on predefined tasks, Learn new tools with minimal supervision, Learn SOPs with minimal supervision, Learn processes with minimal supervision", "teamCollaboration" : "External teams; Upstream teams; Program Managers; Risk Managers; Business Analyst", "domainKnowledge" : "Inventory Trust; Bad actors; Fulfillment Centre; Supply chain verification", "domainList" : [ "inventory-trust", "bad-actors", "fulfillment-centre", "supply-chain-verification" ], "domainSpecificKnowledge" : [ "Inventory Trust", "Bad actors", "Fulfillment Centre", "Supply chain verification" ], "toolProficiency" : [ "Excel" ], "communicationSkills" : "Write up skills; Stakeholder management", "continuousLearning" : "Learn new tools; Learn SOPs; Learn processes", "innovationCreativity" : "Process improvement", "problemSolvingSkills" : "Root cause analysis; Data-driven decisions", "outcomesObjectives" : "Ensure illegal inventory is identified; Ensure illegal inventory is destroyed; Deny fulfillment network to bad actors; Achieve program goals; Meet productivity targets; Meet quality targets", "qualificationsBasic" : "18 months investigations experience, 12 months bad actor investigations experience, 6 months SQL experience, Advanced Excel experience", "qualificationsPreferred" : "Document vetting experience, Supply chain verification experience, Work with upstream teams to fix process gaps, Support business owners in creating detailed investigation summary", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon's Inventory Trust team works to ensure that bad actors cannot profit from using our services to abuse Customers, Selling Partners or our Store. The team works to ensure that illegal inventory within our network is identified and destroyed rather than being returned to the stream of commerce, and to deny our fulfillment network as a means for bad actors to scale their abuse. If we successfully achieve our vision, then Bad Actors will stop committing misconduct on Amazon. We are looking for an experienced Risk Specialist to own complex investigations, high judgement decisions and escalations associated with our programs. In this role you will work on investigations , manage escalations and communication with external teams to ensure that the Inventory Evaluation team (formerly IDAP) is accurately communicating its decisions to these key stakeholders, and that we are capturing and incorporating feedback related to Seller experience. In addition to making the right inventory decisions, the candidate will need to be able to use basic SQL knowledge and use data as evidence to convince/influence key stakeholders. Key job responsibilities 1. Performs investigation based on high judgement to identify bad actors with unsuitable inventory in Fulfillment Centre. 2. Risk mitigation by continuously giving process improvement, enforcement review, risk mining, queueing improvement etc. ideas. 3. Creates, updates learning modules and support the program in driving improvements to ensure the best customer experience. 4. Identifies & manages small to mid-scale process improvement opportunities at process or team level. 5. Communicates to business leaders on pre-defined guidelines with data and resolves issues with reduced guidance. 6. Work in sync with Program Managers, Risk Managers/Business Analyst and create mechanisms, strategies to achieve the program goals. 7. Tracks and reports progress on key goals specific to the program. 8. Adheres to set targets on productivity and quality. 9. Manages escalations on routine and predefined tasks with minimal supervision. 10. Learns new tools / SOPs / processes with minimal supervision. 11. Effective write up skills and stakeholder management. Basic Qualifications: - - Bachelor's degree - - 18 months of investigations experience as Sr. Investigator, or 12 months experience in bad actor investigations/POE/CDT/Risk mining as Sr. Investigator. - - 6months of experience working with SQL and Advanced Excel. Preferred Qualifications: - - Document vetting experience related to supply chain verification is preferred. - - Proven ability to work with upstream teams to fix process gaps is preferred. - - Ability to support business owners in creating detailed investigation summary related to escalations is preferred. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Risk Specialist at ADCI. Skills: Risk Specialist, Investigations, Bad actor investigations. Perform investigation to identify bad actors. Mitigate risk by giving process improvement ideas", "postedDate" : "2026-06-13T04:37:19.872", "createdAt" : "2026-06-13T04:37:19.872", "lastUpdated" : "2026-06-15T01:11:17.886", "ingestTimestamp" : "2026-06-13T04:37:19.872", "mongoId" : "69c94a889bc74574cbbb5147", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3199246/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Judgement", "Risk Specialist", "Investigations", "Bad actor investigations", "Risk mitigation", "Process improvement", "Enforcement review", "Risk mining", "Queueing improvement", "Inventory decisions", "Seller experience", "Escalations", "Stakeholder management", "Inventory Trust", "Bad actors", "Fulfillment Centre", "Supply chain verification", "Excel" ], "skillCount" : 19, "jobCategory" : "marketing", "dataQualityScore" : 1.0, "_score" : 1104.4453, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2ca50374d8ee00a09b4322", "title" : "Head of Risk", "company" : "Soft2Bet", "industry" : "FinTech", "salary" : { "min" : 225000.0, "max" : 245000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New Jersey, United States", "locations" : [ "New Jersey", "United States" ], "certifications" : [ "CFA", "CPA", "FRM", "Series 7", "Series 63", "Series 65", "CAIA", "CFP", "ACCA", "ACA" ], "timestamp" : "2026-06-16T00:32:41.981", "fingerprint" : "a8a34cf1e9631d46360f27c5937a9c2cdfae8a33a7036a4dfdcc93ffa2955f4a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/soft2bet/jobs/4869864101", "externalId" : "4869864101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Fort Lee", "state" : "New Jersey", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.8509333,-73.9701382" } ], "locationText" : "Fort Lee, New Jersey, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Executive", "domainKnowledge" : "Risk management; Financial instruments; Regulatory frameworks; Quantitative skills", "domainList" : [ "risk-management", "financial-instruments", "regulatory-frameworks", "quantitative-skills" ], "domainSpecificKnowledge" : [ "Risk management", "Financial instruments", "Regulatory frameworks", "Quantitative skills" ], "remoteFriendly" : false, "rawDescription" : "Are you a Head of Risk who thrives on protecting the business, leading high-performing teams, and building strong risk, fraud, and KYC operations in a regulated environment? Soft2Bet is a platform provider delivering casino and sports betting brands. With a performance-first approach, the company combines strong product execution, localization and trusted local partnerships to drive sustainable growth across competitive regions, supported by a rigorous compliance culture and a focus on customer experience. \uD83D\uDCCD Location: Fort Lee, New Jersey (100% On-site) ⏰ Work Mode: Full-time, office-based (Remote or hybrid work arrangements are not available) The Role \uD83D\uDEE0️ As the Head of Risk, you will lead and coordinate our Risk, Fraud, and KYC functions across both in-house and outsourced teams. You will be responsible for building scalable processes, strengthening fraud prevention controls, and ensuring timely, compliant operational execution. This role requires a proactive leader who can balance strategy, execution, and cross-functional collaboration to support business integrity and long-term growth. What You’ll Do \uD83D\uDE80 Build, lead, and coordinate the Risk, Fraud, and KYC teams in the New Jersey office. Oversee and manage Risk, Fraud, and KYC functions in outsourced locations, ensuring alignment with internal standards and operational goals. Develop and implement a robust Anti-Fraud strategy for the NJ license, including rules, triggers, and workflow processes. Ensure timely and efficient processing of customer withdrawals, KYC documentation, and related procedures in alignment with SLA targets. Collaborate with the AML function by identifying and reporting suspicious player activity to the MLRO. Establish and maintain effective workflows between Risk, Customer Support, and VIP teams. Develop, document, and continuously improve procedures related to Antifraud, Risk Management, and KYC. Monitor daily SLAs and brand KPIs, and report findings to the Head of Operations. What We’re Looking For \uD83C\uDFAF Proven experience leading Risk, Fraud, and KYC functions in a regulated industry, ideally within iGaming, sports betting, fintech, or payments. Strong understanding of fraud prevention strategies, rules engines, triggers, case workflows, and operational risk controls. Hands-on experience managing customer withdrawals, KYC reviews, and verification processes in high-volume environments. Familiarity with AML processes and the ability to identify and escalate suspicious activity to the appropriate compliance stakeholders. Experience managing both in-house and outsourced teams across multiple operational functions. Strong analytical skills and the ability to monitor SLAs, KPIs, and operational performance metrics. Excellent leadership, communication, and cross-functional collaboration skills. Ability to build processes, improve workflows, and create clear procedural documentation. Proactive, organized, and execution-focused approach to risk operations management. Nice to Have ✅ Experience working under a New Jersey gaming license or within other regulated US jurisdictions. Background in online gaming, sportsbook, casino, payments, or another fast-paced transactional environment. Experience building or scaling risk operations during periods of company growth or market expansion. Why Join Soft2Bet? \uD83D\uDC8E ✅ Bonuses: Discretionary, performance based ✅ Benefits: Comprehensive medical, dental, and vision + 401(k) ✅ Time Off: Generous PTO policy ✅ Perks: Partially subsidized in-office breakfasts and lunches ✅ Culture: Collaborative, international team that celebrates milestones and wins together ✅ Growth: Strong opportunities for professional development and ownership within a scaling organization Soft2Bet is proud to be an Equal Opportunity Employer. We believe diverse perspectives make us stronger and provide equal employment opportunities to all applicants regardless of race, color, religion, gender identity, sexual orientation, national origin, disability, veteran status, or any other protected characteristic. Salary range $225,000—$245,000 USD By submitting your application, you agree to our Privacy Policy.", "summaryDescription" : "Head of Risk at Soft2Bet", "postedDate" : "2026-06-14T20:15:11.453", "createdAt" : "2026-06-14T20:15:11.453", "lastUpdated" : "2026-06-16T00:32:41.981", "ingestTimestamp" : "2026-06-14T20:15:11.453", "mongoId" : "6a2ca50374d8ee00a09b4322", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 225000, "salaryAnnualMax" : 245000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Risk management", "Financial instruments", "Regulatory frameworks", "Quantitative skills", "CFA", "CPA", "FRM", "Series 7", "Series 63", "Series 65", "CAIA", "CFP", "ACCA", "ACA" ], "skillCount" : 14, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "_score" : 1094.4895, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Gaming", "llmIndustryConfidence" : 0.95 }, { "id" : "69fc49a74c40e2acd1a833f8", "title" : "Operations Data & Reporting Associate", "company" : "Hyundai Capital Canada", "industry" : "FinTech", "salary" : { "min" : 55000.0, "max" : 75000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Operations Data & Reporting Associate in Toronto, Canada, within the Financial Services industry, adjusted for company size and full-time employment." }, "location" : "Canada-Ontario-Toronto", "locations" : [ "Canada-Ontario-Toronto" ], "timestamp" : "2026-06-16T05:40:41.006", "fingerprint" : "9ad0de56bdc61bc6a469800c3617265418c3a4bdf98dd95254f96cd6c67f8f29", "source" : "taleo", "language" : "en", "applyUrl" : "https://hyundaicapital.taleo.net/careersection/ex/jobdetail.ftl?job=114884", "externalId" : "114884", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "SQL, SAS, Python, Salesforce, AWS", "professionalSkills" : [ "Data analysis", "Reporting", "Business analytics", "Process improvement", "Automation" ], "hardSkillsList" : [ "Data analysis", "SQL", "SAS", "Tableau", "Excel", "PowerPoint", "Word", "Statistical analysis", "Data visualization" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "SQL", "level" : "intermediate" }, { "name" : "SAS", "level" : "intermediate" }, { "name" : "Tableau", "level" : "intermediate" }, { "name" : "Excel", "level" : "intermediate" }, { "name" : "PowerPoint", "level" : "intermediate" }, { "name" : "Word", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Reporting, SQL, Tableau", "majorSkillsList" : [ "Data analysis", "Reporting", "SQL", "Tableau" ], "coreResponsibilities" : "Prepare monthly reporting for HQ, Monitor key metrics, Develop and manage dashboards, Analyze and interpret large datasets, Leverage visualization and data analysis, Drive transformation and automation, Develop and optimize SQL codes, Develop and optimize SAS codes, Automate manual reporting, Support design of operational reports, Support strengthening of operational reports, Design business analytics dashboards, Develop business analytics dashboards, Deploy business analytics dashboards, Design operational reports, Develop operational reports, Deploy operational reports, Convert raw data into dashboards, Convert raw data into reports, Analyze large data sets, Uncover trends, Uncover automation opportunities, Uncover process improvements, Uncover insights, Assist with data quality assessment, Assist with data clean-up, Assist with data mapping, Assist Manager in UAT testing, Perform other duties as assigned", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Credit operations; Funding operations; Customer care operations; Collection operations; Back office operations", "domainList" : [ "credit-operations", "funding-operations", "customer-care-operations", "collection-operations", "back-office-operations" ], "domainSpecificKnowledge" : [ "Credit operations", "Funding operations", "Customer care operations", "Collection operations", "Back office operations" ], "toolProficiency" : [ "SQL", "SAS", "Tableau", "Excel", "PowerPoint", "Word", "Salesforce", "Rapid Miner", "AWS" ], "communicationSkills" : "Verbal communication; Written communication", "continuousLearning" : "Learn business applications", "innovationCreativity" : "Automation opportunities; Process improvements", "problemSolvingSkills" : "Problem solving; Analytical skills", "qualificationsBasic" : "2-3 years data analysis experience, SQL experience required, Tableau experience required, Bachelor's degree required", "qualificationsPreferred" : "SAS experience preferred, Python experience an asset, Salesforce experience an asset", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "Who We Are: Hyundai Capital Canada (HCCA) is the Canadian captive finance business for Hyundai Motor Group. We go to market under the service brands Hyundai Motor Finance, Kia Finance and Genesis Finance. Through a network of over 450 Hyundai and Kia dealerships and 30 Genesis distributors nationwide, we provide indirect vehicle financing and leasing solutions to consumers and commercial customers. Employee Value Prop and Culture: Our employees contribute every day to a culture that is fast-paced, dynamic, energized, agile, and collaborative. From our employee programs to the unique design of our offices, we strive to create a connected, fun, positive, and rewarding workplace where employees feel appreciated, proud of their company, and deeply invested in HCCA’s success. Global One Company: Many countries. One identity. Hyundai Capital has offices around the world, including South Korea, the United States, China, the United Kingdom, Germany, and Brazil. Our work environments follow consistent themes that represent our global values: simplicity, collaboration, symmetry, and elements of nature. Position Details: This role will be responsible for delivering management reporting and analysis for the Operations department. As part of the reporting scope, you will prepare monthly reporting to headquarters and monitor key metrics across various Operational functions. You will proactively develop and manage dashboards by working closely with cross-functional teams to help them monitor performance easily. You will analyze and interpret large datasets and leverage visualization and data analysis to drive transformation and automation in the business. Duties and Responsibilities: Prepare monthly reporting requirements for HQ, which comprise of metrics for Credit, Funding, Customer Care, Collection, and back office operations. Develop and optimize various SQL and SAS codes of operation team to improve accuracy and clarity. Automate manual reporting to increase reporting efficiency when possible. Support the design and strengthening of operational reports and statistics. Design, develop, and deploy business analytics dashboards and operational reports using Tableau, Salesforce, or Excel to enable automated self-service productivity and performance reporting. Convert raw data into interactive, easy-to-understand dashboards and reports. Analyze large data sets using advanced statistical techniques and tools such as SAS, Rapid Miner, and task mining tool to uncover trends, automation opportunities, process improvements and insights. Assist with data quality assessment, data clean-up and data mapping from database tables to applications such as LOS, V8, CRM, and AWS. Assist Manager in UAT testing on automation projects such as RPA and eFunding or data projects. Perform all other duties as assigned. 2-3 years of experience in data analysis using SQL and Tableau. Education & Certification: Bachelor’s degree required in Computer Science, Business Analytics, Statistics or related field. Knowledge, Skills & Abilities: Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. Excellent verbal and written communication skills. Advanced SQL skills and Tableau is a must Strong PC skills: Microsoft Word, Power Point, Excel. Experience with SAS is preferred. Ability to facilitate collaboration with diverse groups. Team oriented, but able to work independently and manage multiple tasks. Strong problem solving, analytical, organizational/planning skills. Experience with Python and Salesforce is an asset. Aptitude to learn business applications and to understand how that connects to the data. Willingness to work in a fast paced, frequently changing environment. Hyundai Capital Canada Inc. is committed to acknowledge applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. This posting is for an active, existing vacancy. Hyundai Capital Canada is currently hiring for this role and applications are being reviewed as part of a live recruitment process. Canada-Ontario-Toronto", "summaryDescription" : "Operations Data & Reporting Associate at Hyundai Capital Canada. Skills: Data analysis, Reporting, SQL, Tableau. Prepare monthly reporting for HQ. Monitor key metrics", "createdAt" : "2026-06-14T18:51:20.392", "lastUpdated" : "2026-06-16T05:40:41.006", "ingestTimestamp" : "2026-06-14T18:51:20.392", "mongoId" : "69fc49a74c40e2acd1a833f8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data analysis", "SQL", "SAS", "Tableau", "Excel", "PowerPoint", "Word", "Statistical analysis", "Data visualization", "Reporting", "Business analytics", "Process improvement", "Automation", "Credit operations", "Funding operations", "Customer care operations", "Collection operations", "Back office operations", "Salesforce", "Rapid Miner", "AWS" ], "skillCount" : 21, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "_score" : 1087.9282, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ae56574d8ee00a0727d0f", "title" : "Risk Data Scientist | Risk Management", "company" : "ING Bank", "industry" : "Financial Services", "salary" : { "min" : 120000.0, "max" : 180000.0, "currency" : "RON", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Risk Data Scientist in the Banking industry in Romania, adjusted for seniority and industry." }, "location" : "Romania", "locations" : [ "Romania" ], "timestamp" : "2026-06-14T22:57:00.747", "fingerprint" : "008b4bd95dcfaf393187c58f70fa4570bef58d59257b3995e55913c7a6d53d6c", "source" : "workday", "language" : "en", "applyUrl" : "https://ing.wd3.myworkdayjobs.com/ICSGBLCOR/job/Expo-Business-Park/Risk-Data-Scientist---Risk-Management--ING-Bank_REQ-10116360", "externalId" : "REQ-10116360", "industryFunction" : { }, "locationPoint" : "45.9432,24.9668", "structuredLocations" : [ { "country" : "Romania", "continent" : "eu", "workMode" : "hybrid" } ], "locationText" : "Romania", "employmentType" : "FULL_TIME", "technicalSkills" : "SAS, SQL, Python, Microsoft Office", "professionalSkills" : [ "Credit risk modeling", "Model development", "Model validation", "Portfolio analysis", "Data management", "Lending markets", "Banking regulations" ], "hardSkillsList" : [ "Model calibration", "Model estimation", "Statistical techniques", "Machine learning", "AI" ], "softSkillsList" : [ "Analytical thinking", "Problem-solving", "Attention to detail", "Adaptability", "Emotional intelligence" ], "hardSkills" : [ { "name" : "Model calibration", "level" : "intermediate" }, { "name" : "Model estimation", "level" : "intermediate" }, { "name" : "Statistical techniques", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "AI", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical thinking" }, { "name" : "Problem-solving" }, { "name" : "Attention to detail" }, { "name" : "Adaptability" }, { "name" : "Emotional intelligence" } ], "majorSkills" : "Credit risk modeling, Machine learning, Model development", "majorSkillsList" : [ "Credit risk modeling", "Machine learning", "Model development" ], "coreResponsibilities" : "Develop and calibrate models end-to-end, Support model implementation, Monitor model performance, Suggest improvements, Ensure compliance with governance frameworks, Address validation findings, Define optimal cut-off strategies, Perform portfolio analysis, Identify high-risk segments, Support business initiatives, Select and analyze client data, Ensure data integrity, Manage data in line with policies, Automate scripts, Document workflows, Apply advanced statistical techniques, Participate in global projects", "teamCollaboration" : "Collaborative team; Partner with Risk, Business, IT; Model Validation functions", "domainKnowledge" : "Credit risk; IFRS9; Credit Decision Models; Retail lending; Micro-companies; SMEs; Lending markets; Banking regulations; Romanian regulations; European regulations", "domainList" : [ "credit-risk", "ifrs9", "credit-decision-models", "retail-lending", "micro-companies", "smes", "lending-markets", "banking-regulations", "romanian-regulations", "european-regulations" ], "domainSpecificKnowledge" : [ "Credit risk", "IFRS9", "Credit Decision Models", "Retail lending", "Micro-companies", "SMEs", "Lending markets", "Banking regulations", "Romanian regulations", "European regulations" ], "toolProficiency" : [ "Azure DevOps" ], "communicationSkills" : "Written communication; Spoken communication; Influencing skills", "documentationSkills" : "Documentation", "continuousLearning" : "Upskilling/reskilling programs; Learning and development platforms; Udemy; Bookster; Trainings; Certifications", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Analytical thinking; Problem-solving mindset", "outcomesObjectives" : "Support sustainable business growth; Maintain risk management practices", "qualificationsBasic" : "Degree in Mathematics, Statistics, Cybernetics, or related field, Fluent in English, Experience in model development or validation", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "**Mission** Within the Risk Data Science team, our mission is to design and continuously improve the credit risk modeling landscape, enabling sound and responsible credit decisions throughout the entire loan lifecycle. In this role, you will contribute to building models that directly support sustainable business growth while maintaining strong risk management practices. **About the team** You will join a collaborative, forward-thinking team where analytical rigor meets innovation. We work with large datasets, modern tools, and advanced methodologies, including machine learning and AI, to extract meaningful insights and drive impactful decisions. Our team thrives on open communication, knowledge sharing, and continuous learning. We partner closely with colleagues across Risk, Business, IT, and Model Validation functions to ensure that our models are not only technically robust but also aligned with real business needs. **Your day-to-day** In this role, you will support the full lifecycle of IFRS9 and Credit Decision models for retail, micro-companies, and SMEs. Your responsibilities will include: * Developing and calibrating models end-to-end, from scope definition and data collection to estimation and documentation * Supporting the implementation of models in internal systems * Monitoring model performance, interpreting results, and proactively suggesting improvements * Ensuring compliance with internal governance frameworks and methodologies * Preparing for independent model validation processes and addressing findings in a timely manner * Contribute to defining optimal cut-off strategies for Credit Decision Models, balancing risk and acceptance * Perform recurring and ad-hoc portfolio analysis to identify both opportunities and high-risk segments * Support business initiatives by selecting and analyzing client data for targeted campaigns * Ensure data integrity and proper data management in line with credit risk policies * Automate scripts and document workflows to improve efficiency and reliability * Apply advanced statistical techniques, including machine learning and AI, on complex datasets * Participate in global projects aligned with the bank’s strategic priorities **What you bring to the team** We’re looking for someone curious, analytical, and eager to make an impact. **Education & experience** * Degree in Mathematics, Statistics, Cybernetics, or a related field * Fluent in English (written and spoken) * Experience in model development or validation is a plus **Technical skills** * SAS, SQL (Microsoft/Oracle), Python * Microsoft Office tools * Familiarity with Azure DevOps * Understanding of lending markets and banking regulations (both Romanian and European) **Personal competencies** * Ability to see the bigger picture and make well-balanced decisions * Strong organizational, planning, and prioritization skills * Analytical thinking and problem-solving mindset * High attention to detail and accuracy * Proactive attitude, energy, and adaptability in complex environments * Strong communication and influencing skills * Emotional intelligence and collaborative mindset **What we offer** * Impactful work in a fun and collaborative environment. * Open-concept offices designed for both team work and relaxation. * Corporate events and social gatherings. * Hybrid way of working with flexible working schedule and short week options. * Monthly budget on Benefit platform. * Extra annual leave days depending on the total length of working experience. * Growth opportunities through upskilling/reskilling programs and a variety of learning and development platforms: ING Learning Centre, Udemy, Bookster, trainings and certifications. * Possibility to access internal roles, International Short-Term Assignments or Long-Term Assignments. * Context to make an impact through Sustainability and Corporate Social Responsibility projects. **Job Application Safety Reminder** We’re seeing an increase in fraudulent job offers. To protect yourself, please: * Apply only via official ING platforms (ING uses Workday as its recruitment system). * Verify the sender’s email — it should only come from @ing.com or @myworkday.com. Know that ING will never request payments or banking details during the recruitment process. **How to Apply** Click “Apply” on our careers site and submit your application through Workday. We’re excited to meet you! **Discover ING Bank Romania** ING believes in a world where everyone has the right to grow and progress in their own way. We express this in our global tagline, “do your thing”. Perhaps more than in any other large company, we extend our belief in the power of autonomy to our own people. But there’s a catch. In return for great freedom, we expect people to do great things for our customers, our stakeholders, and ING at large. To work here is to be surrounded by people who are energetic, ambitious, friendly and respectful: talented specialists who take responsibility and autonomy to make great things happen. We stay curious, thrive on change, and seek new and better ways to make it happen. Active in Romania for 30 years, ING Bank pioneered and challenged the local banking industry. Technology and innovation are at the core of what we do, making our products relevant for our customers’ lives and businesses. ING Bank Romania is the only bank with an organic growth within the top 10 local banks by assets, without acquisitions of client portfolios or other banks. ING Bank Romania is an universal bank with more than 1.9 million customers from three business segments: individuals (retail), SME and Mid-Corporate companies and Wholesale Banking. Join us!", "summaryDescription" : "Risk Data Scientist | Risk Management at ING Bank. Skills: Credit risk modeling, Machine learning, Model development. Develop and calibrate models end-to-end. Support model implementation", "postedDate" : "2026-06-10T04:03:15.421", "createdAt" : "2026-06-12T04:03:15.407", "lastUpdated" : "2026-06-14T22:57:00.747", "ingestTimestamp" : "2026-06-12T04:03:15.407", "mongoId" : "6a2ae56574d8ee00a0727d0f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://ing.wd3.myworkdayjobs.com/ICSGBLCOR/job/Expo-Business-Park/Risk-Data-Scientist---Risk-Management--ING-Bank_REQ-10116360", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Model calibration", "Model estimation", "Statistical techniques", "Machine learning", "AI", "Analytical thinking", "Problem-solving", "Attention to detail", "Adaptability", "Emotional intelligence", "Credit risk modeling", "Model development", "Model validation", "Portfolio analysis", "Data management", "Lending markets", "Banking regulations", "Credit risk", "IFRS9", "Credit Decision Models", "Retail lending", "Micro-companies", "SMEs", "Romanian regulations", "European regulations", "Azure DevOps" ], "skillCount" : 26, "jobCategory" : "engineering", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "_score" : 1085.8429, "daysOld" : 4, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Financial Services" }, { "id" : "69164db770f0b99d586f39a2", "title" : "Risk & Due Diligence Mgr, Risk and Resiliency", "company" : "Amazon Data Services UK Limited", "industry" : "Procurement, Risk Family, Cloud Computing", "salary" : { "min" : 95000.0, "max" : 140000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in the Technology industry in London, UK, adjusted for seniority and company size." }, "location" : "London, England, GBR", "locations" : [ "London, England, GBR" ], "certifications" : [ "Project Management Professional (PMP) certification", "Professional Engineering or Architectural License" ], "timestamp" : "2026-06-15T00:16:12.011", "fingerprint" : "b3cb8eb3ba9abe707ecf54a8bffe7f04d6c86562b9d739efcafad0da44651624", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3119762/apply", "externalId" : "aa498fba-c0d4-41e9-b36a-44916340a085", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, England, United Kingdom", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "professionalSkills" : [ "Technical program management", "Site selection", "Technical due diligence", "Infrastructure growth", "Infrastructure investments", "Site acquisition", "Design engineering", "Technology recommendations", "Risk management", "Process improvements" ], "hardSkillsList" : [ "Technical studies analysis", "Engineering studies", "Environmental studies", "Technical analysis interpretation" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Technical studies analysis", "level" : "intermediate" }, { "name" : "Engineering studies", "level" : "intermediate" }, { "name" : "Environmental studies", "level" : "intermediate" }, { "name" : "Technical analysis interpretation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Risk management, Due diligence, Site selection, Technical program management", "majorSkillsList" : [ "Risk management", "Due diligence", "Site selection", "Technical program management" ], "coreResponsibilities" : "Lead technical site due diligence projects, Scope technical studies and analysis, Hire and oversee engineering and technical consultancies, Understand inter-relationships between technical disciplines, Coordinate with internal stakeholders, Interpret analysis results, Make site acquisition recommendations, Make design recommendations, Make engineering recommendations, Make technology recommendations, Evaluate impact of site risks, Evaluate impact of site constraints, Guide expansion of AWS infrastructure, Deliver technical site risk analysis, Deliver due diligence assessments, Own complex infrastructure projects, Adapt standard approaches, Contract engineering studies, Supervise engineering studies, Coordinate engineering studies, Interpret engineering studies results, Manage budgets, Establish schedules, Escalate technical risks, Escalate project risks, Make trade-offs based on business priorities, Own multidisciplinary preliminary design, Assess real estate considerations, Assess engineering considerations, Assess construction considerations, Assess policy considerations, Assess environmental considerations, Assess planning considerations, Assess business development considerations, Make associated technical recommendations, Make associated business recommendations", "teamCollaboration" : "Partnering with stakeholders; Coordinate with internal stakeholders; Collaborate with people across AWS", "projectManagementSkills" : [ "Technical program management", "Project management", "Manage budgets", "Establish schedules", "Escalate risks", "Make trade-offs" ], "domainKnowledge" : "Datacenter site selection; AWS infrastructure; Cloud infrastructure; Supply chain", "domainList" : [ "datacenter-site-selection", "aws-infrastructure", "cloud-infrastructure", "supply-chain" ], "domainSpecificKnowledge" : [ "Datacenter site selection", "AWS infrastructure", "Cloud infrastructure", "Supply chain" ], "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Data-driven decision making", "qualificationsBasic" : "Bachelor's degree in Construction Management, Architecture, Structural, Civil, Mechanical or Electrical Engineering, 10+ years of technical program or project management experience, Bachelor's degree in an engineering or scientific discipline, or equivalent experience, Multidisciplinary concept/preliminary design experience", "qualificationsPreferred" : "Project Management Professional (PMP) certification, Experience leveraging technology and implementing lean principles / Six Sigma methodologies, Master's degree or above in engineering or equivalent, Professional Engineering or Architectural License, 5+ years of experience leading due diligence, design, engineering and/or land development activities for large infrastructure projects", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Play a leading role in datacenter site selection and technical due diligence at Amazon. You will lead technical site due diligence projects, partnering with stakeholders across the AWS infrastructure organization, to shape the future of AWS’ infrastructure growth and investments. You will play a key role in site selection and site due diligence for new and existing AWS regions. You will scope the technical studies and analysis required to appropriately evaluate prospective datacenter sites, hire and oversee the work of engineering and technical consultancies, understand the inter-relationships between technical disciplines, coordinate with internal stakeholders, and interpret the results of this analysis to make site acquisition, design, engineering, and technology recommendations. You will evaluate the impact of identified site risks and constraints on development costs and schedules. The right person for this role will have a strong track record of technical program management, the demonstrated ability to deliver multiple high priority projects simultaneously, the ability to drive alignment across teams with competing priorities, and be a strong advocate for technical risk management. AWS Infrastructure Services (AIS) AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Key job responsibilities • Guiding the expansion of AWS infrastructure in new and existing regions by delivering technical site risk analysis and due diligence assessments. • Owning complex and ambiguous infrastructure projects where standard approaches, templates, designs, and processes either do not exist or need to be adapted to meet the needs of a specific project • Scoping, contracting, supervising, coordinating, and interpreting the results of engineering, environmental, and technical studies • Managing budgets, establishing schedules, escalating technical and project risks, and making trade-offs based on business priorities. • Owning the multidisciplinary preliminary design for our sites consistent with AWS design standards and technical specifications. Assessing and drawing conclusions from a wide range of real estate, engineering, construction, policy, environmental, planning, and business development considerations and making associated technical and business recommendations About the team ABOUT AWS: Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, AWS Infrastructure Services (AIS) AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. there’s nothing we can’t achieve in the cloud. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications: - Bachelor's degree in Construction Management, Architecture, Structural, Civil, Mechanical or Electrical Engineering - - 10+ years of technical program or project management experience - - Bachelor's degree in an engineering or scientific discipline, or equivalent experience - - Multidisciplinary concept/preliminary design experience Preferred Qualifications: - Project Management Professional (PMP) certification - Experience leveraging technology and implementing lean principles / Six Sigma methodologies to drive process improvements or equivalent - Master's degree or above in engineering or equivalent - Professional Engineering or Architectural License - - 5+ years of experience leading due diligence, design, engineering and/or land development activities for large infrastructure projects Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Risk & Due Diligence Mgr, Risk and Resiliency at Amazon Data Services UK Limited. Skills: Risk management, Due diligence, Site selection, Technical program management. Lead technical site due diligence projects. Scope technical studies and analysis", "postedDate" : "2026-06-12T23:36:35.552", "createdAt" : "2026-06-12T23:36:35.552", "lastUpdated" : "2026-06-15T00:16:12.011", "ingestTimestamp" : "2026-06-12T23:36:35.552", "mongoId" : "69164db770f0b99d586f39a2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3119762/apply", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Technical studies analysis", "Engineering studies", "Environmental studies", "Technical analysis interpretation", "Leadership", "Risk management", "Due diligence", "Site selection", "Technical program management", "Technical due diligence", "Infrastructure growth", "Infrastructure investments", "Site acquisition", "Design engineering", "Technology recommendations", "Process improvements", "Project management", "Manage budgets", "Establish schedules", "Escalate risks", "Make trade-offs", "Datacenter site selection", "AWS infrastructure", "Cloud infrastructure", "Supply chain", "Project Management Professional (PMP) certification", "Professional Engineering or Architectural License" ], "skillCount" : 27, "jobCategory" : "marketing", "dataQualityScore" : 1.0, "_score" : 1082.2047, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2cb05a74d8ee00a09d9b29", "title" : "Model Risk Specialist", "company" : "Nubank", "industry" : "Risk Management", "salary" : { "min" : 215000.0, "max" : 345000.0, "currency" : "BRL", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Model Risk Specialist in São Paulo, Brazil, adjusted for the FinTech industry and company size." }, "location" : "São Paulo", "locations" : [ "São Paulo" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T07:44:36.684", "fingerprint" : "04ab110e45605f68cbef3093934bc3114e11d05a0d3d6a2e187723b9f9d05e16", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/nubank/412f91c7-dfda-42d5-8a5b-2c848b013636/application", "externalId" : "412f91c7-dfda-42d5-8a5b-2c848b013636", "industryFunction" : { }, "structuredLocations" : [ { "city" : "São Paulo", "country" : "Brazil", "continent" : "sa", "source" : "llm", "workMode" : "hybrid", "geo" : "-23.5506507,-46.6333824" } ], "locationText" : "São Paulo, Brazil", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, R, Scala, Spark, SQL, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, Delta Lake", "professionalSkills" : [ "Risk assessment", "Model validation", "Data governance", "Feature engineering", "MLOps", "CI/CD", "Model monitoring", "Risk management", "Control design", "Governance frameworks" ], "hardSkillsList" : [ "Statistical methods", "Machine learning", "Generative AI", "Agentic AI", "Quantitative analysis", "Data engineering", "Analytics engineering", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Generative AI", "level" : "intermediate" }, { "name" : "Agentic AI", "level" : "intermediate" }, { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Analytics engineering", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Model risk, AI risk, Data infrastructure, MLOps", "majorSkillsList" : [ "Model risk", "AI risk", "Data infrastructure", "MLOps" ], "coreResponsibilities" : "Review data and infrastructure environments, Assess risks across model lifecycle infrastructure, Evaluate feature engineering pipelines, Evaluate feature stores, Evaluate CI/CD for models, Evaluate deployment platforms, Evaluate model monitoring systems, Assess data governance practices, Identify gaps in data governance, Identify and escalate risks, Establish and enhance controls, Validate data and infrastructure, Review first-line processes, Challenge first-line procedures, Partner to define KRIs, Monitor KRIs, Contribute to model governance framework, Develop tools for risk management, Improve analyses for risk management, Build reporting solutions, Build monitoring solutions, Support internal audits, Support regulatory inquiries, Discuss risk status with stakeholders, Report risk findings to stakeholders, Present independent opinions", "teamCollaboration" : "Model teams; Data platform teams; First-line teams; Senior managers", "domainKnowledge" : "Data Mesh architecture; Data lineage; Feature governance; Model monitoring concepts; Drift detection; Pipeline stability; Performance degradation tracking; ERM; COSO; SR 11-7; SR 26-2; OCC 2011-12; NIST AI RMF", "domainList" : [ "data-mesh-architecture", "data-lineage", "feature-governance", "model-monitoring-concepts", "drift-detection", "pipeline-stability", "performance-degradation-tracking", "erm", "coso", "sr-11-7", "sr-26-2", "occ-2011-12", "nist-ai-rmf" ], "domainSpecificKnowledge" : [ "Data Mesh architecture", "Data lineage", "Feature governance", "Model monitoring concepts", "Drift detection", "Pipeline stability", "Performance degradation tracking", "ERM", "COSO", "SR 11-7", "SR 26-2", "OCC 2011-12", "NIST AI RMF" ], "toolProficiency" : [ "Dbt", "Fivetran", "Airflow", "Dbt Cloud" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Traceable assessments; Reproducible assessments", "continuousLearning" : "Nucleo learning platform", "qualificationsBasic" : "5+ years experience, SQL proficiency, Bachelor's degree", "qualificationsPreferred" : "PhD preferred, Prior experience in model risk management, Experience in a 2nd or 3rd line of defense, Familiarity with model risk frameworks, Familiarity with regulatory expectations", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "ABOUT NU Nu is one of the largest digital financial services platforms in the world, serving 135 million customers across Brazil, Mexico, and Colombia. The company has been leading an industry transformation by leveraging data and proprietary technology to develop innovative products and services. Guided by its mission to fight complexity and empower people, Nu caters to customers’ complete financial journey, promoting financial access and advancement with responsible lending and transparency. The company is powered by an efficient and scalable business model that combines low cost to serve with growing returns. Nu’s impact has been recognized in multiple awards, including Time 100 Most Influential Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Banks. Visit our institutional page: https://www.nu.com/2026-en ABOUT US Nu is one of the largest digital financial platforms in the world, with more than 127 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building. Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human. Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Bank. Visit our institutional page Careers at Nu - Join our team! https://international.nubank.com.br/careers/ ABOUT THE ROLE At Nubank we heavily rely on Data, Machine Learning, and increasingly on Generative and Agentic AI to drive our strategy and deliver the best experience and products to our customers. The Model Risk team plays a crucial role in ensuring the risks associated with our models and AI systems are understood and under control. We are now building a dedicated AI Risk Management capability to address the emerging risks of advanced AI — including LLM-powered and autonomous agentic systems — with a focus on AI quality, model and agent behavior, and the platform controls that keep these systems safe and reliable across internal and customer-facing use cases. This is an individual contributor role, you will both review and assess what first-line teams build, and actively develop tools, playbooks, and analyses to mature our risk practices. You will focus on the infrastructure and data risks that surround model development and deployment: feature engineering and feature stores, MLOps pipelines, model monitoring, deployment platforms, and data governance practices. You will work closely with model and data platform teams to identify, assess, and report risks independently, bringing a second-line perspective without losing technical depth. RESPONSIBILITIES Infrastructure & Data Risk Assessment - Conduct independent reviews of the data and infrastructure environments used for developing, deploying, and monitoring AI/machine learning models, assessing reliability, stability, and fitness for purpose. - Evaluate risks across the model lifecycle infrastructure: feature engineering pipelines, feature stores, CI/CD for models, deployment platforms, and model monitoring systems. - Assess data governance practices, including data quality, lineage, access controls and identify gaps that could materially impact model behavior or risk. - Identify and escalate risks or control gaps proactively across all stages of the model and data platform lifecycle. Controls & Governance - Help establish and enhance specific controls and validation practices for data and infrastructure used in model development and deployment. - Review and challenge first-line processes, procedures, and controls against internal policies, industry frameworks, and regulatory expectations. - Partner with model and data platform teams to define and monitor Key Risk Indicators (KRIs) for infrastructure and data risk. - Contribute to the evolution of Nubank's model governance framework with an infrastructure and data lens. Tooling & Playbooks - Develop and improve tools, analyses, and playbooks specific to infrastructure and data risk management. - Build reporting and monitoring solutions that provide clear, continuous visibility into the health of model infrastructure and data environments. - Support internal audit and regulatory inquiries with well-documented, traceable, and reproducible risk assessments. Stakeholder Engagement - Discuss and report infrastructure and data risk status, findings, and independent opinions with stakeholders across the organization, including senior managers. - Collaborate with model teams, data platform engineers, and governance partners to drive risk-aware design decisions without slowing responsible innovation. - Work in a multicultural, diverse, and highly skilled environment. QUALIFICATIONS - Bachelor's or master's degree in computer science, data science, statistics, mathematics, engineering, or a related field. - Strong programming skills: Proficiency in Python and SQL; experience with Spark/Scala is a plus. - ML infrastructure knowledge: Hands-on familiarity with MLOps practices, CI/CD pipelines for models, feature stores, and cloud-based ML platforms (AWS, GCP, or Azure). - Data governance: Understanding of Data Mesh architecture and principles, data lineage, data quality frameworks, and feature governance practices. - Model monitoring: Experience with model and data monitoring concepts, including drift detection, pipeline stability, and performance degradation tracking. - Good written and verbal communication skills in English - Understanding of risk management principles, control design, and governance frameworks (e.g. ERM, COSO); experience in a 2nd or 3rd line of defense is a strong plus. - Prior experience in model risk management, model validation, or a data/ML engineering role transitioning into risk (nice to have) - Familiarity with model risk frameworks and regulatory expectations (e.g., SR 11-7 / SR 26-2 / OCC 2011-12, NIST AI RMF)-(nice to have) Location & Work Model Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. This position is based in Sao Paulo, Brazil. BENEFITS - Chance of earning equity at Nubank - Food/ Meal Card (Vale-Refeição and/or Vale Alimentação) - Public Transportation Commuting Benefit (Vale-Transporte) - NuCare – Psychological, Financial and Legal Assistance Program - Life Insurance - Medical Plan - Dental Plan - NuLanguage – Language Course Program - Nucleo - Our learning platform of courses - Extended Parental Leave - Daycare Allowance - Parental Consultancy - Work-from-home Allowance - Gym Partnerships - 30 days of paid vacation - Relocation Assistance Package, if applicable By submitting an application, I acknowledge that I have read and understand the Nubank Candidate Privacy Notice. Nubank Candidate Privacy Notice (English https://building.nubank.com/privacy-notice-for-candidates// Portuguese https://building.nubank.com/pt-br/aviso-de-privacidade-para-candidatos/ / Spanish). https://nu.com.mx/aviso-de-privacidad-candidatos/", "summaryDescription" : "Model Risk Specialist at Nubank. Skills: Model risk, AI risk, Data infrastructure, MLOps. Review data and infrastructure environments. Assess risks across model lifecycle infrastructure", "createdAt" : "2026-06-13T21:45:30.592", "lastUpdated" : "2026-06-15T07:44:36.684", "ingestTimestamp" : "2026-06-13T21:45:30.592", "mongoId" : "6a2cb05a74d8ee00a09d9b29", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical methods", "Machine learning", "Generative AI", "Agentic AI", "Quantitative analysis", "Data engineering", "Analytics engineering", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Model risk", "AI risk", "Data infrastructure", "MLOps", "Risk assessment", "Model validation", "Data governance", "Feature engineering", "CI/CD", "Model monitoring", "Risk management", "Control design", "Governance frameworks", "Data Mesh architecture", "Data lineage", "Feature governance", "Model monitoring concepts", "Drift detection", "Pipeline stability", "Performance degradation tracking", "ERM", "COSO", "SR 11-7", "SR 26-2", "OCC 2011-12", "NIST AI RMF", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt", "Fivetran", "Airflow", "Dbt Cloud" ], "skillCount" : 47, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 1081.6324, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "69164d8270f0b99d586f23f8", "title" : "Risk Analyst II", "company" : "ADCI", "industry" : "Business Intelligence, Risk Family, customer trust and partner support", "salary" : { "min" : 1250000.0, "max" : 1850000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on 2024-2025 market data for a Mid-level Risk Analyst II in the E-commerce industry in Bengaluru, India, adjusted for company size and specific industry factors." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-15T02:13:05.935", "fingerprint" : "66f9fcd1dc87b332162bd768e334e1620cb961902dfa645fcd5cfbd4e13de553", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3121257/apply", "externalId" : "2a80491e-4703-4975-8f5a-0716a3ccde52", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 4, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "SQL, Python, R, Gen AI", "professionalSkills" : [ "Quantitative analysis", "Data visualization", "Data mining", "Risk mining", "Fraud prevention", "Abuse prevention" ], "hardSkillsList" : [ "Attribute development", "Rule deployment", "Alarm system design" ], "softSkillsList" : [ "Results-oriented" ], "hardSkills" : [ { "name" : "Attribute development", "level" : "intermediate" }, { "name" : "Rule deployment", "level" : "intermediate" }, { "name" : "Alarm system design", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Results-oriented" } ], "majorSkills" : "Risk analysis, Data mining, Fraud detection", "majorSkillsList" : [ "Risk analysis", "Data mining", "Fraud detection" ], "coreResponsibilities" : "Create data sets, Maintain data sets, Improve data sets, Create pipelines, Maintain pipelines, Improve pipelines, Track KPIs, Manage KPIs, Analyze customer trends, Identify patterns, Develop attributes, Incorporate attributes, Deploy static rules, Design alarm systems, Derive actionable insights, Guide product strategy, Design metrics, Develop metrics, Maintain metrics, Design reports, Develop reports, Maintain reports, Design analyses, Develop analyses, Maintain analyses, Design dashboards, Develop dashboards, Maintain dashboards, Support cross-functional teams, Retrieve data, Aggregate data, Compile data, Communicate analysis, Communicate insights, Review account activity, Create rules, Develop long term mechanisms, Report fraud trends, Report abuse trends, Support product development, Create dashboards, Maintain dashboards, Detect fraud, Inform stakeholders, Stop fraud, Stop abuse, Participate process improvement, Lead process improvement, Develop rules, Mitigate bad actor activity, Create long term solutions, Leverage GenAI", "teamCollaboration" : "Partnership with product managers; Partnership with scientists; Partnership with engineers; Cross-functional teams; Account integrity teams; Multiple functions", "domainKnowledge" : "Account integrity; Fraud and abuse prevention; Fraudulent account creation", "domainList" : [ "account-integrity", "fraud-and-abuse-prevention", "fraudulent-account-creation" ], "domainSpecificKnowledge" : [ "Account integrity", "Fraud and abuse prevention", "Fraudulent account creation" ], "toolProficiency" : [ "Excel", "SQL", "BI tools" ], "communicationSkills" : "Verbal communication; Written communication", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "4+ years compliance program management, 4+ years legal experience, 4+ years governance experience, 4+ years audit experience, 4+ years risk/loss prevention experience, Bachelor's degree, Experience handling confidential information, Experience with SQL, Experience with Excel", "qualificationsPreferred" : "3+ years program requirements definition, 3+ years data and metrics leveraging experience, Experience using R, Experience using Python, Basic understanding of Machine Learning, Ability to leverage Gen AI tools", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon’s Account Integrity team (AIT) within the Selling Partner Support organization is looking for a passionate, results-oriented Risk Analyst (similar to Business Analyst) to leverage data, detect anomalies and prevent bad actors for harming our genuine customers. The incumbent will lead one of the core verticals of Risk Mining with AIT. The AIT team owns designing and building high performance software systems using machine learning that identify and prevent fraudulent activity and maintain high trust levels with our customers. Fraud and abuse prevention is a real-money game where our software and analytics teams strive to outsmart those who attempt to defraud Amazon and our customers. As a Business Analyst for Risk Mining in the Account Integrity group, you will be responsible for analyzing large data sets in partnership with product managers, scientists, and engineers, drive root cause analysis of ever changing bad actor behaviours and deploy rules that will prevent bad actors from gaining access to Amazon's platform. Key job responsibilities - Create, maintain, and improve data sets, pipelines and reporting to track and manage important KPIs and goals in the Account Integrity space - Analyze complex customer trends to identify patterns, develop attributes that clearly articulate those pattern and incorporate those attributes into static rules for automated deployment in our account creation pipeline. - Apply your expertise in quantitative analysis, data visualization and data-mining to design alarm systems, derive actionable insights and guide product strategy for stakeholders and leadership - Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. within SQL and other BI tools - Support cross-functional teams on the day-to-day execution of projects and initiatives - Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format - Communicate complex analysis and insights to stakeholders and business leaders, both verbally and in writing A day in the life 1. Review instances of bad actor account activity and create rules for short term and mechanisms for long term to stop them 2. Report on fraud and abuse trends and leverage that information to support product development inputs 3. Create and maintain dashboards that detect and inform stakeholders (such as downstream payment and abuse product owners) on how to stop fraud and abuse via early stage detection of bad actor behavior 4. Participate and lead process improvement initiatives across account integrity teams 5. Develop rules to mitigate bad actor activity 6. Create long term solutions leveraging GenAI About the team Our team consists of Risk Managers, Risk Analysts, and Risk Mining Specialists within the Account Integrity Machine Learning Team. We evaluate instances of organized bad actor account takeovers and creation of fraudulent accounts on Amazon. We collaborate closely across multiple functions to mitigate these attacks through various short-term and long-term solutions. This role supports existing teams based in Costa Rica (CR), India (IN), and the United States (US) and provides support to worldwide customers. Basic Qualifications: - 4+ years of compliance program management, legal, governance, audit, risk/loss prevention, or equivalent experience - Bachelor's degree or equivalent - Experience handling confidential information - Experience with SQL and Excel Preferred Qualifications: - 3+ years of program requirements definition and data and metrics leveraging to drive improvements experience - Demonstrated experience using scripting languages like R or Python - Basic understanding of Machine Learning and Ability to leverage Gen AI tools Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Risk Analyst II at ADCI. Skills: Risk analysis, Data mining, Fraud detection. Create data sets. Maintain data sets", "postedDate" : "2026-06-12T23:30:38.995", "createdAt" : "2026-06-12T23:30:38.995", "lastUpdated" : "2026-06-15T02:13:05.935", "ingestTimestamp" : "2026-06-12T23:30:38.995", "mongoId" : "69164d8270f0b99d586f23f8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3121257/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Attribute development", "Rule deployment", "Alarm system design", "Results-oriented", "Risk analysis", "Data mining", "Fraud detection", "Quantitative analysis", "Data visualization", "Risk mining", "Fraud prevention", "Abuse prevention", "Account integrity", "Fraud and abuse prevention", "Fraudulent account creation", "Excel", "SQL", "BI tools" ], "skillCount" : 18, "jobCategory" : "other", "dataQualityScore" : 1.0, "_score" : 1079.9363, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "68c2e426f8b1b0376634c64b", "title" : "Risk Manager II", "company" : "Amazon.com Services LLC", "industry" : "Corporate Operations, Risk Family, no business category", "salary" : { "min" : 84240.0, "max" : 129800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, Washington, USA", "locations" : [ "Bellevue, Washington, USA" ], "timestamp" : "2026-06-15T00:59:08.625", "fingerprint" : "17d5ffd454aa5a5308ca14fb94cc08ce89623beab4b38d3b2a9562c99d3cf9b4", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3072017/apply", "externalId" : "43e8bb3f-ac89-48b8-a06d-aa583ccb1514", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6144219,-122.1923370" } ], "locationText" : "Bellevue, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 1, "experienceLevel" : "Manager", "technicalSkills" : "Excel, Tableau, SQL", "professionalSkills" : [ "Risk management", "Process documentation", "Data analysis" ], "hardSkillsList" : [ "Data analysis", "Project management" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Project management", "level" : "intermediate" } ], "majorSkills" : "Risk management, Project implementation, Data analysis", "majorSkillsList" : [ "Risk management", "Project implementation", "Data analysis" ], "coreResponsibilities" : "Identify risks, Design risk processes, Develop risk processes, Implement risk processes, Execute risk processes, Create schedules, Communicate risks to stakeholders, Define risk mitigation strategies, Facilitate engineering solutions, Develop system requirements, Streamline tools, Simplify tools, Manage operational productivity, Manage operational accuracy, Manage operational effectiveness, Evaluate system effectiveness, Integrate business systems, Integrate business processes, Maintain metrics, Maintain reports, Maintain process documentation, Monitor delivery performance, Analyze delivery performance, Monitor key controls, Analyze key controls, Manage cross-functional teams, Manage third party-vendors", "teamCollaboration" : "Cross-functional teams; Third party-vendors", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Regulatory compliance", "domainList" : [ "regulatory-compliance" ], "domainSpecificKnowledge" : [ "Regulatory compliance" ], "toolProficiency" : [ "Excel", "Tableau", "SQL" ], "documentationSkills" : "Process documentation", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "Bachelor's degree or foreign equivalent, 1 year experience Program or Project Manager, 1 year managing projects, 1 year analyzing data", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "MULTIPLE POSITIONS AVAILABLE Employer: AMAZON.COM SERVICES LLC Offered Position: Risk Manager II Job Location: Bellevue, WA Job Number: AMZ9080597 Position Responsibilities: Identify, design, develop, implement and execute new and existing processes, policies, goals, and solutions to reduce potential risks. Create schedules, identify and communicate risks to stakeholders, define risk mitigation strategies, and facilitate appropriate engineering solutions. Develop system requirements to streamline and simplify tools used to manage and enhance operational productivity, accuracy, and effectiveness for customers. Evaluate effectiveness of current or future systems. Collaborate with other departments to integrate with business systems and processes. Maintain metrics, reports, and process documentation to monitor and analyze delivery performance and key controls. Manage cross-functional teams and/or third party-vendors for implementation of project/program requirements. Position Requirements: Bachelor’s degree or foreign equivalent degree in Business Administration, Finance, Engineering, or a related field and one year of experience in the job offered or as a Program or Project Manager, or a related occupation. Must have one year of experience in the following skill(s): managing projects from design to implementation to meet regulatory requirements; and analyzing data utilizing Excel, Tableau, or SQL. Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation 40 hours / week, 8:00am-5:00pm, Salary Range $84,240/year to $129,800/year Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, visit: https://www.aboutamazon.com/workplace/employee-benefits.#0000 Basic Qualifications: Position Requirements: Bachelor’s degree or foreign equivalent degree in Business Administration, Finance, Engineering, or a related field and one year of experience in the job offered or as a Program or Project Manager, or a related occupation. Must have one year of experience in the following skill(s): managing projects from design to implementation to meet regulatory requirements; and analyzing data utilizing Excel, Tableau, or SQL.#0000 Preferred Qualifications: Please see job description and the position requirements above. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Risk Manager II at Amazon.com Services LLC. Skills: Risk management, Project implementation, Data analysis. Identify risks. Design risk processes", "postedDate" : "2026-06-13T11:23:18.667", "createdAt" : "2026-06-13T11:23:18.667", "lastUpdated" : "2026-06-15T00:59:08.625", "ingestTimestamp" : "2026-06-13T11:23:18.667", "mongoId" : "68c2e426f8b1b0376634c64b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3072017/apply", "salaryAnnualMin" : 84240, "salaryAnnualMax" : 129800, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Project management", "Risk management", "Project implementation", "Process documentation", "Regulatory compliance", "Excel", "Tableau", "SQL" ], "skillCount" : 9, "jobCategory" : "operations", "dataQualityScore" : 1.0, "_score" : 1079.4546, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2a5d4174d8ee00a06184dd", "title" : "Treasury Risk Associate Director", "company" : "AirTrunk", "industry" : "Data Centre", "salary" : { "min" : 185000.0, "max" : 275000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Director-level Treasury Risk Associate Director in Singapore, adjusted for the Real Estate industry and company size." }, "location" : "Singapore HQ", "locations" : [ "Singapore HQ" ], "timestamp" : "2026-06-14T04:38:28.677", "fingerprint" : "93085e7e8160b5cab4eedb694641fb16285863d7d91fb2560c2b268e16562fab", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/airtrunk/jobs/7760926003", "externalId" : "7760926003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Singapore", "country" : "Singapore", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "1.2899175,103.8519072" } ], "locationText" : "Singapore, Singapore", "experienceLevel" : "Director", "technicalSkills" : "Python, R, MATLAB, SQL, Bloomberg Terminal, Reuters Eikon, FactSet, Murex, Calypso", "professionalSkills" : [ "Financial modeling", "Scenario analysis", "Capital planning", "Risk management", "Hedging strategies", "Debt origination", "Capital markets", "Financing strategy", "Market execution", "Risk insight" ], "hardSkillsList" : [ "Interest rate hedging", "FX hedging", "Financial modelling", "Scenario analysis", "Capital planning", "Debt structuring", "Financing execution" ], "softSkillsList" : [ "Stakeholder management", "Commercial acumen" ], "hardSkills" : [ { "name" : "Interest rate hedging", "level" : "intermediate" }, { "name" : "FX hedging", "level" : "intermediate" }, { "name" : "Financial modelling", "level" : "intermediate" }, { "name" : "Scenario analysis", "level" : "intermediate" }, { "name" : "Capital planning", "level" : "intermediate" }, { "name" : "Debt structuring", "level" : "intermediate" }, { "name" : "Financing execution", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Stakeholder management" }, { "name" : "Commercial acumen" } ], "majorSkills" : "Treasury risk, Interest rate risk, FX risk, Hedging execution, Funding strategy", "majorSkillsList" : [ "Treasury risk", "Interest rate risk", "FX risk", "Hedging execution", "Funding strategy" ], "coreResponsibilities" : "Drive execution of hedging strategies, Optimise hedging strategies, Provide risk insight, Support funding decisions, Support investment decisions, Partner on debt origination, Partner on capital markets transactions, Partner on financing strategy, Engage with banks, Engage with investors, Engage with financial counterparties, Lead execution of interest rate hedging, Lead active management of interest rate hedging, Lead execution of FX hedging, Lead active management of FX hedging, Price hedging instruments, Time hedging instruments, Optimise hedging structures, Support structuring debt financing, Support execution debt financing, Provide forward-looking analysis, Inform strategic decisions, Inform transaction timing, Develop financial models, Maintain financial models, Assess sensitivity to market movements, Support capital planning, Support investment decisions, Maintain dialogue with banks, Maintain dialogue with lenders, Maintain dialogue with market participants, Source market intelligence, Source pricing, Source transaction opportunities, Evaluate capital structures, Refine capital structures, Deliver insights to senior management, Deliver insights to board, Deliver insights to investors", "teamCollaboration" : "External counterparties engagement", "domainKnowledge" : "Interest rate markets; FX markets; Debt financing; Capital markets; Project finance; Real assets; Infrastructure finance; Sustainable finance", "domainList" : [ "interest-rate-markets", "fx-markets", "debt-financing", "capital-markets", "project-finance", "real-assets", "infrastructure-finance", "sustainable-finance" ], "domainSpecificKnowledge" : [ "Interest rate markets", "FX markets", "Debt financing", "Capital markets", "Project finance", "Real assets", "Infrastructure finance", "Sustainable finance" ], "toolProficiency" : [ "Bloomberg Terminal", "Reuters Eikon", "FactSet", "Murex", "Calypso" ], "communicationSkills" : "Stakeholder communication", "problemSolvingSkills" : "Risk-informed decision making", "qualificationsBasic" : "Bachelor's degree in finance, Min. 9 years experience, Deep understanding of interest rate, Familiarity with loan documentation", "qualificationsPreferred" : "Experience in infrastructure, Experience in real assets, Experience in project finance", "workSiteFlexibility" : "Onsite", "rawDescription" : "Want to be a part of Asia Pacific & Middle East's (APME) largest, most innovative, and rapidly growing data centre company? AirTrunk is a technology company with a powerful purpose - to scale and sustain the relentless growth of the region’s digital future. We do this by continuously redefining and delivering hyperscale data centres that meet the needs of our customers - the world’s most transformational companies. And we’re doing so sustainably, for today and tomorrow. Having opened Australia’s first and largest hyperscale data centres in 2017, we set our eyes on rapid expansion and now operate a platform of hyperscale data centres across the APME region. With backing from our investors, including Blackstone, this is just the beginning… Come join the A-Team at AirTrunk, where the cloud meets the ground. Snapshot As Treasury Risk Associate Director, based in our Singapore office, you will sit at the intersection of financial markets, funding strategy, and risk-taking decisions across AirTrunk’s global platform. Working closely with the Head of Treasury Risk and Operations, you will actively shape and execute strategies across funding, liquidity, interest rate and FX risk, supporting multi-billion-dollar capital deployment across APAC. This is a commercially focused role, combining market execution with risk insight, in a fast-scaling, capital-intensive environment. You will make an impact in a number of ways: · Drive execution and optimisation of hedging strategies across interest rate and FX exposures · Provide real-time risk insight to support funding and investment decisions · Partner on debt origination, capital markets transactions, and financing strategy · Engage directly with banks, investors, and financial counterparties Your Day to Day · Market Risk & Hedging Execution: Lead execution and active management of interest rate and FX hedging strategies (e. g. swaps, forwards), including pricing, timing, and optimisation of structures. · Funding & Capital Markets Strategy: Support structuring and execution of debt financing transactions (loans, DCM, private placements), incorporating market conditions, pricing, and risk considerations. · Risk-Informed Decision Making: Provide forward-looking analysis on interest rates, FX movements, and funding markets to inform strategic decisions and timing of transactions. · Financial Modelling & Scenario Analysis: Develop and maintain models to assess sensitivity to market movements (rates, FX, credit spreads), supporting capital planning and investment decisions. · Counterparty & Market Engagement: Maintain active dialogue with banks, lenders, and market participants to source market intelligence, pricing, and transaction opportunities. · Capital Structure Optimisation: Evaluate and refine capital structures across projects and geographies, balancing risk, return, and flexibility. · Reporting & Stakeholder Communication: Deliver clear, commercially focused insights to senior management, board, and investors on market conditions, risk positions, and strategic actions. Requirements · A Bachelor's degree (or above) in finance, economics, or a related field. · Min. 9years of experience in corporate treasury, investment banking, or markets-facing roles. · Deep understanding of interest rate and FX markets, including hedging instruments and execution. · Proven ability to operate in a front-office or commercially driven treasury environment. · Experience with financial modelling, scenario analysis, and capital planning. · Familiarity with loan documentation and financing structures. · Experience in infrastructure, real assets, or project finance highly regarded. · Strong commercial acumen and ability to translate market movements into business impact. · Excellent stakeholder management skills, including external counterparties (banks, investors). · Ability to thrive in a fast-paced, high-growth, global HQ environment. · Interest in ESG and sustainable finance. The AirTrunk Culture Working at AirTrunk is a once in a lifetime opportunity to fast-track your career and amplify your impact. Whilst you’re helping scale our region’s digital future, we’ll help you Grow@Hyperscale and unleash your full potential. The pace in which we operate means you’ll feel an electric atmosphere at AirTrunk. We are a team of challengers and collaborative problem solvers who break new ground every day. We do this by living our values, going above and beyond, and being dynamic, transparent, and responsive. Every AirTrunker brings their own unique background and diverse perspective to find solutions to problems that matter. We make sure you have everything you need to make your mark and thrive in a flexible and safe working environment, where everyone feels welcome. Our benefits empower AirTrunkers to stay positively charged. Now’s your chance to Grow@Hyperscale. **To all recruitment agencies: AirTrunk does not accept agency resumes. Please do not forward resumes to our jobs alias, AirTrunk employees or any other organisation location. AirTrunk is not responsible for any fees related to unsolicited resumes.**", "summaryDescription" : "Treasury Risk Associate Director at AirTrunk. Skills: Treasury risk, Interest rate risk, FX risk, Hedging execution, Funding strategy. Drive execution of hedging strategies. Optimise hedging strategies", "postedDate" : "2026-06-11T21:03:57.387", "createdAt" : "2026-06-11T21:03:57.387", "lastUpdated" : "2026-06-14T04:38:28.677", "ingestTimestamp" : "2026-06-11T21:03:57.387", "mongoId" : "6a2a5d4174d8ee00a06184dd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Interest rate hedging", "FX hedging", "Financial modelling", "Scenario analysis", "Capital planning", "Debt structuring", "Financing execution", "Stakeholder management", "Commercial acumen", "Treasury risk", "Interest rate risk", "FX risk", "Hedging execution", "Funding strategy", "Financial modeling", "Risk management", "Hedging strategies", "Debt origination", "Capital markets", "Financing strategy", "Market execution", "Risk insight", "Interest rate markets", "FX markets", "Debt financing", "Project finance", "Real assets", "Infrastructure finance", "Sustainable finance", "Bloomberg Terminal", "Reuters Eikon", "FactSet", "Murex", "Calypso" ], "skillCount" : 34, "jobCategory" : "other", "jobSubcategory" : "treasury", "dataQualityScore" : 0.8888889, "_score" : 1078.271, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Data Centre" }, { "id" : "68b706957fc9a711f0f6ed87", "title" : "Senior Risk & Compliance Manager, Transportation Risk & Compliance", "company" : "Amazon Japan G. K.", "industry" : "Project/Program/Product Management--Non-Tech, Risk Family, transportation and logistics", "salary" : { "min" : 1.2E7, "max" : 1.8E7, "currency" : "JPY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Risk & Compliance Manager in Tokyo, Japan, adjusted for the logistics industry and Amazon's company size." }, "location" : "Tokyo, JPN", "locations" : [ "Tokyo, JPN" ], "timestamp" : "2026-06-16T05:01:28.226", "fingerprint" : "68505d0dfffe000ae0c8993851a35243b090d2a9351c2efcdb62dbb6e9f922a7", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3052664/apply", "externalId" : "7e9e118e-9ef3-4c6d-91f9-7d568d99ec5e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tokyo", "country" : "Japan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "35.6768601,139.7638947" } ], "locationText" : "Tokyo, Japan", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL", "professionalSkills" : [ "Risk management", "Internal controls", "Process management", "Program management", "Data analysis" ], "hardSkillsList" : [ "Risk assessment", "Control testing", "Data analysis" ], "hardSkills" : [ { "name" : "Risk assessment", "level" : "intermediate" }, { "name" : "Control testing", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "majorSkills" : "Risk management, Compliance, Audit, Transportation risk", "majorSkillsList" : [ "Risk management", "Compliance", "Audit", "Transportation risk" ], "coreResponsibilities" : "Conduct risk assessments, Propose risk mitigation strategy, Assist stakeholders with risk identification, Assist stakeholders with risk management, Apply risk management framework, Influence product landscape, Guide business leadership, Resolve risk management concerns, Implement mitigation strategies, Influence product roadmap, Drive process documentation, Drive risk documentation, Drive control documentation, Assign accountability for documentation, Validate risk control effectiveness, Follow up implementation status, Work with legal, Work with public policy, Identify new regulations, Understand emerging risk environment, Influence controls programs, Influence compliance programs, Evaluate contract effectiveness, Mitigate transportation business risks, Identify compliance assurance areas, Develop audit program, Manage cross-functional projects, Execute cross-functional projects, Gather data for projects, Analyze data for projects, Communicate project insights, Communicate project recommendations, Report on project status", "teamCollaboration" : "Cross-functional partnerships; Influence stakeholders; Work with legal teams; Work with business teams; Work with product teams; Work with operations teams; Partner with finance teams; Partner with safety teams; Partner with compliance teams", "projectManagementSkills" : [ "Project management", "Cross-functional projects" ], "domainKnowledge" : "Transportation risk; Last mile transportation; Compliance; Process; Technology; Legal; Finance; Program management; 3rd party carrier contracts", "domainList" : [ "transportation-risk", "last-mile-transportation", "compliance", "process", "technology", "legal", "finance", "program-management", "3rd-party-carrier-contracts" ], "domainSpecificKnowledge" : [ "Transportation risk", "Last mile transportation", "Compliance", "Process", "Technology", "Legal", "Finance", "Program management", "3rd party carrier contracts" ], "toolProficiency" : [ "Microsoft Office" ], "communicationSkills" : "Verbal communication; Written communication; Data findings communication", "documentationSkills" : "Process documentation; Risk documentation; Control documentation", "innovationCreativity" : "Propose innovative approaches", "problemSolvingSkills" : "Risk mitigation strategies; Resolve risk concerns; Data analysis", "qualificationsBasic" : "6+ years compliance experience, 6+ years audit experience, 6+ years risk management experience, Bachelor's degree or equivalent, Advanced Microsoft Office knowledge, 3+ years cross-functional partnerships, 3+ years influencing stakeholders, 3+ years analytical skills, Work with large data, Communicate data findings, Lead projects independently, Meet project deadlines, Excellent organizational skills, Prioritizing skills, Scheduling skills, Time management skills, Verbal communication skills, Written communication skills, English fluency, Japanese fluency", "qualificationsPreferred" : "Warehouse operations experience, Logistics experience, Master's degree or equivalent, Basic data analytical skills, Tableau understanding, SQL understanding, SQL skills (intermediate), SQL skills (advanced), Database language skills (intermediate), Database language skills (advanced)", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Transportation Risk & Compliance (TRC) provides a framework for Amazon’s last mile (LM) transportation programs to identify and manage risk in a rapidly growing and complex, global environment. To support the business, our primary mission is to perform independent and objective assessment of risks and testing of the controls embedded in Amazon business partners’ processes with the goal of optimizing the achievement of strategic objectives by minimizing negative surprises. We further provide Audit & Monitoring (A&M) support of high-risk transportation risk topics to drive compliance across our LM programs and influence business controls. We are looking for an experienced Senior Risk Manager to join our Japan TRC LM Audit & Monitoring (A&M) team, who can apply their knowledge of risk management and internal controls to a diverse set of transportation risk areas including compliance, process, technology, legal, finance, and program management. The successful candidate will propose innovative approaches and risk mitigation strategies throughout the business life cycle. In this highly visible role, you will work closely with the legal, business, product, and operations teams on effective risk mitigation countermeasures to ensure continued safety and compliance for Amazon and our transportation partners. Amazonではトランスポーテーションリスク＆コンプライアンス（TRC）のチームの一員となって活躍していただけるメンバーを募集しています。TRCは、急速に成長し、複雑でグローバルな環境において、アマゾンラストマイル輸送プログラムのリスクを特定・管理するためのフレームワークを提供します。私たちの主なミッションは、輸送部門の戦略的目標の達成をサポートするため、輸送事業におけるリスクを独立かつ客観的に評価し、コントロールをテストすることです。さらに、ラストマイルプログラム全体のコンプライアンスを推進し、ビジネスコントロールに影響を与えるため、高リスクな分野における監査・モニタリング（A&M）サポートを提供します。コンプライアンス・プロセス・技術・法務・財務・プロジェクトマネジメント等のリスク領域において、リスク管理、内部統制の経験や知識をお持ちの方を探しています。このポジションでは、ビジネスライフサイクル全体を通じて、革新的なアプローチとリスク軽減戦略を提案します。この非常に注目度の高い役割において、アマゾンと輸送パートナーの継続的な安全性とコンプライアンスを確保するため、法務、ビジネス、製品、およびオペレーションチームと密接に協働し、効果的なリスク軽減措置の構築に取り組みます。 Key job responsibilities • Independently conduct comprehensive Risk Assessments of Amazon’s transportation programs and propose risk mitigation strategy • Assist stakeholders (e.g., risk partners and business leaders) with identifying and managing potential risks (e.g., regulatory, operational, or reputational) in their core processes that if left untreated could impact the achievement of their strategic objectives. • Apply the risk management framework to Amazon transportation programs and influence the product landscape for audit and controls. • Guide business leadership, resolve risk management concerns, implement mitigation strategies, and influence the product roadmap. • Drive documentation of processes, risks, controls and work with owners to assign accountability. • Validate the business stakeholder’s risk control effectiveness and follow up their implementation status. • Work closely with legal and public policy to identify the new regulations, understand emerging risk environment, and influence controls and compliance programs. • Evaluate the effectiveness of the transportation program’s contract with 3rd party carriers and Amazon program policy to mitigate risks associated with transportation business. • Identify areas where the compliance assurance is required and develop a risk-based audit program for 3rd party carrier compliance. • Management and execution of cross-functional projects or programs including data gathering, analysis, communication of insights and recommendations. • Timely reporting on the status of on-going projects. • Amazonの輸送プログラムに関するリスクアセスメントの実施およびリスク軽減措置の提案 • 輸送部門の戦略的目標の達成に影響を及ぼす可能性のある、潜在的リスクの特定およびリスク管理の支援 • Amazonの輸送プログラムに対するリスクマネージメントフレームワークの適用、および、輸送プログラムにおけるコントロールや監査プログラムへのインフルエンス • ビジネス幹部に対する、リスク管理上の懸念の解決およびリスク軽減戦略の実行支援、プロダクトロードマップへのインフルエンス • プロセス、リスク、およびコントロールの文書化の推進、および責任の所在の明確化 • 輸送部門によるリスク管理アクションの有効性の評価、および進捗確認 • 輸送部門に関する新たな法規制およびそれに伴うリスク環境の変化の理解、輸送プログラムにおけるコントロールや監査プログラムへのインフルエンス • 外部輸送キャリアとの契約書及びプログラムポリシーについてリスク管理の有効性の評価 • 第２のディフェンスラインとして、外部輸送キャリアに対するコンプライアンスプログラムの開発 • データ収集、分析、それを踏まえた提案を含む、部門横断的なプロジェクトまたはプログラムの管理、推進および報告 A day in the life In this role, you will work closely with Amazon JP LM transportation business to understand their nuanced risk landscapes, align on risk mitigation strategies, recommend 1st line risk controls, and form A&M programs in a sustainable and scalable way to control the risks under the reasonable level. You will also partner with various teams including legal, public policy, finance, safety, and compliance teams to understand and evaluate risks, and optimize A&M that will provide assurance to compliance requirements. 今回募集しているポジションでは、アマゾンジャパン輸送部門と密接に関わり、各種輸送プログラムに関するリスクアセスメントの実施、リスク軽減戦略に関する合意形成、リスク軽減措置の提案、また、拡張性、持続性がありリスク軽減をサポートするA&Mプログラムの構築をいただくことを期待しています。輸送部門だけではなく、社内外の各ステークホルダー（法務、財務、安全、パブリックポリシー、PR、その他コンプライアンス部門）をパートナーとし、コンプライアンス遵守を推進するための各種プログラムについて最適化を図っていただきます。 About the team TRC’s mission is to empower Amazon’s transportation business and our partners to do the right thing for the community at large, with a vision to inform decision-making that drives business growth through world-class scalable risk management solutions. We proactively identify and manage risks through risk mitigation strategies and provide assurance that Amazon and our carrier partners comply with the highest transportation and legal standards (including legislative, regulatory, and contractual). Anchored by sound subject matter expertise, processes, and growing technology solutions, our TRC leaders improve public safety and enable business growth as we work diligently to serve our customers. TRCのミッションは、アマゾンの輸送事業やそのパートナーの皆さまが、広範のコミュニティにとって「正しいことを行う」のを促すことです。私たちは、拡張性のあるリスクマネジメントソリューションを通じ、輸送事業の成長のため、情報に基づいた意思決定を支援するビジョンを掲げています。私達は、リスク軽減戦略を通じてリスクを積極的に特定・管理し、アマゾンおよびキャリアパートナーが最高のコンプライアンス水準を維持していることを保証します。確かな専門性、プロセス、およびテクノロジーを基盤として、TRCは、公共の安全を向上させ、お客様のために真摯に向き合いながら、ビジネスの成長をサポートします。 Basic Qualifications: - 6+ years of compliance, audit or risk management experience - Bachelor's degree or equivalent - Knowledge of Microsoft Office products and applications at an advanced level - Experience building cross-functional partnerships and influencing stakeholders across the organization to act without having a direct reporting relationship - 3+ years of experience building cross-functional partnerships and influencing stakeholders across the organization to act without having a direct reporting relationship - 3+ years of exceptional analytical skills, comfortable working with large amounts of data and communicating data findings. - Demonstrated ability to successfully lead projects independently and meeting deadlines. - Excellent organizational skills including prioritizing, scheduling, and time management. - Demonstrate strong verbal and written communication skills. - Fluency in English and Japanese - ・組織全体において直接の報告関係がない状況下で、部門横断的なパートナーシップを構築し、ステークホルダーに影響を与えた3年以上の経験 - ・大量のデータを扱い、データ分析結果を効果的に伝達できる優れた分析能力を有する3年以上の経験 - ・プロジェクトを独自に主導し、期限内に完遂できる実証された能力 - ・優先順位付け、スケジューリング、時間管理を含む優れた組織力 - ・優れた口頭及び文書によるコミュニケーション能力 - ・英語および日本語での業務遂行が可能なこと（ビジネスレベル） Preferred Qualifications: - Experience in warehouse operations and logistics or equivalent - Master's degree or equivalent - Understanding of basic data analytical skills and tools such as Tableau, SQL (intermediate to advanced). - トラック輸送産業や倉庫産業等での経験 - 修士号または同等の資格 - SQL・データベース言語のスキル（中級以上） Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Senior Risk & Compliance Manager, Transportation Risk & Compliance at Amazon Japan G. K.. Skills: Risk management, Compliance, Audit, Transportation risk. Conduct risk assessments. Propose risk mitigation strategy", "postedDate" : "2026-06-14T20:22:42.307", "createdAt" : "2026-06-14T20:22:42.307", "lastUpdated" : "2026-06-16T05:01:28.226", "ingestTimestamp" : "2026-06-14T20:22:42.307", "mongoId" : "68b706957fc9a711f0f6ed87", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3052664/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Risk assessment", "Control testing", "Data analysis", "Risk management", "Compliance", "Audit", "Transportation risk", "Internal controls", "Process management", "Program management", "Project management", "Cross-functional projects", "Last mile transportation", "Process", "Technology", "Legal", "Finance", "3rd party carrier contracts", "Microsoft Office" ], "skillCount" : 19, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 1078.2614, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a42d174d8ee00a05cc929", "title" : "Risk Advisor", "company" : "Cancer Research Uk", "industry" : "Non-profit", "salary" : { "min" : 27000.0, "max" : 30000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : false }, "location" : "Stratford (2 Redman Place)", "locations" : [ "Stratford (2 Redman Place)", "United Kingdom" ], "timestamp" : "2026-06-12T19:55:56.327", "fingerprint" : "ef505e437978745afe72467a35b3af1d7794c782e75702c9cdd5d3d5c6487047", "source" : "workday", "language" : "en", "applyUrl" : "https://cancerresearchuk.wd3.myworkdayjobs.com/External_Careers/job/Stratford-2-Redman-Place/Risk-Advisor_R033729-1", "externalId" : "R033729", "industryFunction" : { }, "locationPoint" : "44.65505,-71.55564", "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "PART_TIME", "technicalSkills" : "Microsoft suite, AI prompts", "professionalSkills" : [ "Risk management", "Business continuity", "Risk assurance", "Data analysis" ], "hardSkillsList" : [ "Risk management processes", "Data metrics analysis", "Risk reporting" ], "softSkillsList" : [ "Initiative", "Judgment", "Resilience", "Articulation" ], "hardSkills" : [ { "name" : "Risk management processes", "level" : "intermediate" }, { "name" : "Data metrics analysis", "level" : "intermediate" }, { "name" : "Risk reporting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Initiative" }, { "name" : "Judgment" }, { "name" : "Resilience" }, { "name" : "Articulation" } ], "majorSkills" : "Risk management, Risk reporting, Governance", "majorSkillsList" : [ "Risk management", "Risk reporting", "Governance" ], "coreResponsibilities" : "Support running of CRUK Operational Risk Committee, Clerk Operational Risk Committee, Manage governance for committee, Organise committee meetings, Liaise with committee attendees, Report committee metrics, Contribute ideas to risk approach development, Support project management of risk approach development, Support development of revised risk approach, Support operation of Risk Assurance Map, Support development of Risk Assurance Map, Support delivery of risk management improvement projects, Support update of function-owned key policies, Support update of related documents, Support delivery of End of Year Assurance process, Support associated reporting, Support other work of Risk department", "teamCollaboration" : "Across departmental boundaries; Internal networks for collaboration; Knowledge sharing", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Operational risk; Risk management; Business continuity", "domainList" : [ "operational-risk", "risk-management", "business-continuity" ], "domainSpecificKnowledge" : [ "Operational risk", "Risk management", "Business continuity" ], "communicationSkills" : "Concise communication; Persuasive arguments; Impart information", "documentationSkills" : "Policy updates", "continuousLearning" : "Career development opportunities; Personal development opportunities", "problemSolvingSkills" : "Exercising judgement", "qualificationsBasic" : "Relevant experience working in a risk management team, Relevant experience operating risk management processes in a second line risk function", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "**Salary:** £27,000 - £30,000 based on 21 hours per week (+ [Benefits](https://www.cancerresearchuk.org/about-us/careers/benefits)) **Grade: P2** **Directorate** : Chief Operating Office Reports to: Risk Management & Business Continuity Lead **Contract:** 9 month fixed-term contract **Hours:** Part time 21 hours per week **Location:** Stratford, London .Office-based with high flexibility **External closing date:** 22/06/2026 **Internal closing date:** 22/06/2026 This vacancy may close earlier if a high volume of applications is received or once a suitable candidate is found, therefore we strongly recommend that you apply early to avoid disappointment. If you require more time to apply as part of a reasonable adjustment, please contact [recruitment@cancer.org.uk](mailto:recruitment@cancer.org.uk) as soon as possible. **Recruitment process: Two competency-based interviews** **Interview date:** **How do I apply?** We operate an anonymised shortlisting process in our commitment to equality, diversity, and inclusion. CVs are required for all applications; but we won’t be able to view them until we invite you for an interview. Instead, we ask you to fully complete the work history section of the online application form for us to be able to assess you quickly, fairly, and objectively. **At Cancer Research UK, we exist to beat cancer.** We are professionals with purpose, beating cancer every day. But we need to go much further and much faster. That’s why we’re looking for someone talented, someone who wants to develop their skills, someone like you. **What will I be doing?** * Support and enable the running of the CRUK Operational Risk Committee – clerking, governance, organisation, attendee liaison, metrics and reporting. * Contribute ideas to, and support project management of, the wider development of a revised approach to risk and assurance in CRUK. * Working together with colleagues in the Assurance function, support development and operation of Risk Assurance Map (RAM). * Support and enable delivery of risk management related improvement projects. * Support update of content of function-owned key policies and related documents. * Support delivery of End of Year Assurance process and associated reporting. * Support other work of the Risk department as required. **What skills will I need?** * Self-starter and someone who will take the initiative proactively. Works independently and autonomously, managing day to day workload and priorities, exercising judgement when escalating. * Relevant experience of working in a risk management team environment (any organisation). * Relevant experience of operating risk management processes in a second line risk function. * Organisation and logistics skills. * Ability to build effective working relationships across departmental boundaries. * Resilient and committed team worker. * Calm, confident and articulate communicator who can concisely communicate information and concepts to colleagues and memorably imparts information to colleagues and/or customers, guiding and enabling them to understand other points of view. * Influences others effectively, including at a senior level, using clear and persuasive arguments, building internal networks for collaboration and knowledge sharing with other parts of the charity. * Demonstrates a good understanding of the Charity's broader strategy and how it impacts and influences the work of the Risk team. * General technology skills (Microsoft suite of standard tools, use of AI prompts) * Competent in data and metricsfor analysis of risk to inform associated risk reporting. Our organisation values are designed to guide all that we do. **Bold:** Act with ambition, courage and determination **Credible:** Act with rigour and professionalism **Human:** Act to have a positive impact on people **Together:** Act inclusively and collaboratively We’re looking for people who can believe in and embody these organisation values and can use them to drive forward progress against our mission to beat cancer. If you’re interested in applying and excited about working with us but are unsure if you have the right skills and experience we’d still love to hear from you. **Internal eligibility criteria** Internal candidates should ideally have completed their 6-month ‘getting started’ period before applying for other roles. You should also advise your current line manager at the point you make an internal application, or at the latest, at the point of being invited for an interview. All internal candidates applying for a secondment, must have: * Completed their getting started period * Discussed their intention to apply and gained approval to apply with their line manager * Been in their substantive (home) role for at least 6 months (this is only applicable if you have previously been on secondment) If you do not confirm that you meet these requirements, we will not be able to progress your application. For information about internal learning and development at Cancer Research UK please visit Fuse. **What will I gain?** We create a working environment that supports your wellbeing and provide a generous benefits package, a wide range of career and personal development opportunities and high-quality tools. Our policies and processes enable you to improve your work-life balance, take positive steps in your career and achieve your personal wellbeing goals. You can explore our benefits by visiting our [careers web page](https://www.cancerresearchuk.org/about-us/careers/benefits). **Additional Information** For more information about working with us please [visit our website](https://www.cancerresearchuk.org/about-us/careers) or contact us at [recruitment@cancer.org.uk](mailto:recruitment@cancer.org.uk). For more updates on our work and careers, follow us on: [LinkedIn](https://www.linkedin.com/company/cancer-research-uk/mycompany/verification/), [Facebook](https://www.facebook.com/cancerresearchuk/), [Instagram](https://www.instagram.com/cr_uk/), [X](https://twitter.com/CR_UK) and [YouTube](https://www.youtube.com/user/cancerresearchuk). Our vision is to create a charity where everyone feels like they belong, benefits from and participates in, the work we do. We actively encourage applications from people of all backgrounds and cultures, in particular those from ethnic minority backgrounds who are currently under-represented. We want to see every candidate performing at their best throughout the job application process, interview process and whilst at work. We therefore ask you to inform us of any concerns you have or any adjustments you might need to enable this to happen. Please contact [recruitment@cancer.org.uk](mailto:recruitment@cancer.org.uk) or **0** 20 3469 8400 as soon as possible. Unfortunately, we are unable to recruit anyone below the age of 18, so that we can protect young people from health & safety and safeguarding risks.", "summaryDescription" : "Risk Advisor at Cancer Research Uk. Skills: Risk management, Risk reporting, Governance. Support running of CRUK Operational Risk Committee. Clerk Operational Risk Committee", "postedDate" : "2026-06-11T13:26:35.493", "createdAt" : "2026-06-11T13:26:35.423", "lastUpdated" : "2026-06-12T19:55:56.327", "ingestTimestamp" : "2026-06-11T13:26:35.423", "mongoId" : "6a2a42d174d8ee00a05cc929", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://cancerresearchuk.wd3.myworkdayjobs.com/External_Careers/job/Stratford-2-Redman-Place/Risk-Advisor_R033729-1", "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Risk management processes", "Data metrics analysis", "Risk reporting", "Initiative", "Judgment", "Resilience", "Articulation", "Risk management", "Governance", "Business continuity", "Risk assurance", "Data analysis", "Project management", "Operational risk" ], "skillCount" : 14, "jobCategory" : "other", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "_score" : 1073.9701, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Non-profit" }, { "id" : "6a2d064774d8ee00a0ac20d0", "title" : "Risk Director", "industry" : "Banking", "salary" : { "min" : 220000.0, "max" : 350000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Director of Risk in the Financial Services industry in New York, USA, adjusted for seniority and full-time employment." }, "location" : "New York, NY", "locations" : [ "New York, NY" ], "timestamp" : "2026-06-16T06:01:25.245", "fingerprint" : "1260061c857e678fa3041bb92e3d96efdd254a5b51bae9a966aa9b2223c5eebc", "source" : "jazzhr", "language" : "en", "externalId" : "uYB2N54RVV", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "experienceLevel" : "Director", "summaryDescription" : "Risk Director", "createdAt" : "2026-06-14T19:51:45.648", "lastUpdated" : "2026-06-16T06:01:25.245", "ingestTimestamp" : "2026-06-14T19:51:45.648", "mongoId" : "6a2d064774d8ee00a0ac20d0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 220000, "salaryAnnualMax" : 350000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Director", "dataQualityScore" : 0.44444445, "_score" : 1071.8092, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "693c2b8270f0b99d5843f8c3", "title" : "Sr. Risk Manager, Risk Ops & Resilience", "company" : "Amazon.com Services LLC", "industry" : "Facilities, Maintenance, Real Estate, Risk Family, operations", "salary" : { "min" : 109000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, Washington, USA", "locations" : [ "Bellevue, Washington, USA" ], "certifications" : [ "PMP" ], "timestamp" : "2026-06-15T02:49:52.685", "fingerprint" : "3ecd785e4114c68d4bf74ef1771a3431adf5d962383f052e875c435139a69a20", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3137344/apply", "externalId" : "c6d5af1a-521e-4683-85dd-8f09fa160bda", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6144219,-122.1923370" } ], "locationText" : "Bellevue, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Risk management", "Process improvement", "Loss control" ], "hardSkillsList" : [ "Risk mitigation", "Data-driven decision making", "Cost estimates" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Risk mitigation", "level" : "intermediate" }, { "name" : "Data-driven decision making", "level" : "intermediate" }, { "name" : "Cost estimates", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Risk management, Resilience, Process improvement", "majorSkillsList" : [ "Risk management", "Resilience", "Process improvement" ], "coreResponsibilities" : "Develop risk management strategies, Manage risk management processes, Develop governance frameworks, Support financial impact thresholds development, Manage decision-making frameworks, Oversee insurance risk engineers, Oversee consultants, Conduct facility audits, Conduct plan reviews, Conduct construction assessments, Create dashboards, Share risk insights, Secure commitment, Monitor loss control improvements, Develop business cases, Integrate property loss prevention features, Integrate cost estimates", "teamCollaboration" : "Partner with internal teams; Work with external providers", "projectManagementSkills" : [ "Program management" ], "domainKnowledge" : "Natural hazards; Disaster prevention; Disaster recovery; Real estate portfolio", "domainList" : [ "natural-hazards", "disaster-prevention", "disaster-recovery", "real-estate-portfolio" ], "domainSpecificKnowledge" : [ "Natural hazards", "Disaster prevention", "Disaster recovery", "Real estate portfolio" ], "toolProficiency" : [ "Microsoft Office" ], "communicationSkills" : "Stakeholder communication", "continuousLearning" : "Closed-loop learning; Continuous improvement", "problemSolvingSkills" : "Data-driven decision making", "specialRequirements" : "10-15% domestic and international travel", "qualificationsBasic" : "6+ years compliance, audit or risk management experience, 5+ years program or project management experience, Advanced Microsoft Office products and applications knowledge, Bachelor's degree or equivalent", "qualificationsPreferred" : "Project Management Professional (PMP) or equivalent certification, Master's degree or equivalent", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Risk Operations & Resilience (ROR), within Global Realty, is seeking a Sr. Risk Manager to evaluate, analyze, and implement risk mitigation programs for Amazon's global real estate portfolio. You will focus on natural hazards (wildfire, flooding, earthquake, storms) and risks surfaced through disaster prevention/recovery. This role will partner closely with internal teams across Real Estate, Safety, Engineering, Building Design, and Construction, as well as external risk engineering providers to identify, analyze, and implement risk mitigation and process improvement opportunities to the business. The role requires a self-starting leader who uses data-driven decision making to influence senior stakeholders effectively. You will dive into risk workflows to create efficiencies and scale process improvements, while championing closed-loop learning and continuous improvement through measurable quality and effectiveness mechanisms. This role encompasses four key responsibilities: (1) managing recurring facility audits, (2) integrating risk improvement standards into site due diligence and construction projects, (3) implementing risk management process improvements, and (4) supporting international expansion of risk programs. Domestic and international travel may be required (10-15%) to audit program effectiveness, vendor performance, and support international expansion activities. Key job responsibilities • Develop and manage risk management strategies, processes, and governance frameworks • Support development and management of financial impact thresholds and decision-making frameworks to determine when to retain risks versus invest capital in risk reduction measures • Oversee insurance risk engineers and consultants who conduct facility audits, plan reviews, and construction assessments, serving as liaison between service providers and company locations. • Create dashboards and regular communications to stakeholders sharing risk insights, securing commitment, and monitoring progress of loss control improvements • Develop business cases for incorporating property loss prevention features into facility designs, including cost estimates for project budget integration A day in the life Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan Basic Qualifications: - 6+ years of compliance, audit or risk management experience - 5+ years of program or project Management experience - Knowledge of Microsoft Office products and applications at an advanced level - Bachelor's degree or equivalent Preferred Qualifications: - Project Management Professional (PMP) or equivalent certification - Experience leveraging technology and implementing lean principles / Six Sigma methodologies to drive process improvements or equivalent - Master's degree or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $109,000/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Sr. Risk Manager, Risk Ops & Resilience at Amazon.com Services LLC. Skills: Risk management, Resilience, Process improvement. Develop risk management strategies. Manage risk management processes", "postedDate" : "2026-06-13T00:21:33.960", "createdAt" : "2026-06-13T00:21:33.960", "lastUpdated" : "2026-06-15T02:49:52.685", "ingestTimestamp" : "2026-06-13T00:21:33.960", "mongoId" : "693c2b8270f0b99d5843f8c3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3137344/apply", "salaryAnnualMin" : 109000, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Risk mitigation", "Data-driven decision making", "Cost estimates", "Leadership", "Risk management", "Resilience", "Process improvement", "Loss control", "Program management", "Natural hazards", "Disaster prevention", "Disaster recovery", "Real estate portfolio", "PMP", "Microsoft Office" ], "skillCount" : 15, "jobCategory" : "data", "dataQualityScore" : 1.0, "_score" : 1071.7733, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c6af174d8ee00a090f55b", "title" : "Risk Control Expert", "company" : "Bybit", "industry" : "FinTech", "salary" : { "min" : 360000.0, "max" : 600000.0, "currency" : "AED", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the FinTech industry in Abu Dhabi, UAE, for a Senior Risk Control Expert position, adjusted for market data and seniority." }, "location" : "Abu Dhabi", "locations" : [ "Abu Dhabi" ], "certifications" : [ "FRM", "CFA" ], "timestamp" : "2026-06-15T07:45:37.213", "fingerprint" : "3ee41f1b4d81a89344df54ba1854e2a71c41f87d40aae52b66e9903229ec390f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/bybit/jobs/4863827101", "externalId" : "4863827101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Abu Dhabi", "country" : "United Arab Emirates", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "24.4538352,54.3774014" } ], "locationText" : "Abu Dhabi, United Arab Emirates", "technicalSkills" : "Python, SQL", "professionalSkills" : [ "Risk assessment", "Quantitative modeling", "Data analysis", "Market risk quantification" ], "hardSkillsList" : [ "On-chain analytics", "Risk quantification", "Data analysis" ], "softSkillsList" : [ "Rigorous logic", "Quick decisions" ], "hardSkills" : [ { "name" : "On-chain analytics", "level" : "intermediate" }, { "name" : "Risk quantification", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Rigorous logic" }, { "name" : "Quick decisions" } ], "majorSkills" : "Risk control, Quantitative modeling, On-chain monitoring", "majorSkillsList" : [ "Risk control", "Quantitative modeling", "On-chain monitoring" ], "coreResponsibilities" : "Deliver risk assessment reports, Develop mitigation plans, Build risk monitoring models, Maintain risk monitoring models, Produce daily risk reports, Identify asset-liability mismatch risks, Set redemption limits, Set circuit breakers, Set emergency pause rules, Monitor on-chain address behavior, Identify oracle manipulation risks, Identify flash loan attacks, Identify market manipulation risks, Audit smart contracts", "teamCollaboration" : "Collaborate with security team", "domainKnowledge" : "Cryptocurrency; Digital finance; Wealth management; Smart contracts; Yield pools; Oracle manipulation; Flash loan attacks; Market manipulation; VaR; Stress testing; Drawdown controls; Liquidation thresholds; Greeks; Monte Carlo", "domainList" : [ "cryptocurrency", "digital-finance", "wealth-management", "smart-contracts", "yield-pools", "oracle-manipulation", "flash-loan-attacks", "market-manipulation", "var", "stress-testing", "drawdown-controls", "liquidation-thresholds", "greeks", "monte-carlo" ], "domainSpecificKnowledge" : [ "Cryptocurrency", "Digital finance", "Wealth management", "Smart contracts", "Yield pools", "Oracle manipulation", "Flash loan attacks", "Market manipulation", "VaR", "Stress testing", "Drawdown controls", "Liquidation thresholds", "Greeks", "Monte Carlo" ], "toolProficiency" : [ "Etherscan", "Dune", "Nansen", "Bloomberg Terminal", "Reuters Eikon", "FactSet", "Murex", "Calypso" ], "communicationSkills" : "Written communication; Verbal communication", "continuousLearning" : "Study Growth Fund", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "5+ years IB", "qualificationsPreferred" : "FRM or equivalent, CFA or equivalent, Risk certifications, Finance certifications, Crypto wealth experience", "rawDescription" : "About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. Responsibilities Product Risk Identification deliver risk assessment reports and mitigation plans. Quantitative Risk Modeling Build and maintain risk monitoring models and early-warning indicators (VaR, stress testing, drawdown controls, liquidation thresholds, etc.); produce daily risk reports. Identify asset-liability mismatch risks in wealth products; set redemption limits, circuit breakers, and emergency pause rules. On-chain Data Monitoring Monitor on-chain address behavior (e.g., large fund movements, abnormal contract interactions) to identify potential oracle manipulation, flash loan attacks, or market manipulation risks. Collaborate with the security team on continuous risk auditing of smart contracts underlying yield pools. Incident Response proficient with on-chain analytics tools Proficient in on-chain analytics tools (Etherscan / Dune / Nansen) and market risk quantification tools (VaR / Greeks / Monte Carlo); skilled in Python/SQL for data analysis Strong risk awareness, rigorous logic, and ability to make quick decisions in highly volatile market environments Excellent written and verbal communication skills in both Chinese and English Nice to Have FRM, CFA, or equivalent risk/finance certifications Hands-on risk control experience with crypto wealth products; familiar with various product characteristics and risk structures Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.", "summaryDescription" : "Risk Control Expert at Bybit. Skills: Risk control, Quantitative modeling, On-chain monitoring. Deliver risk assessment reports. Develop mitigation plans", "postedDate" : "2026-06-13T20:09:39.474", "createdAt" : "2026-06-13T20:09:39.474", "lastUpdated" : "2026-06-15T07:45:37.213", "ingestTimestamp" : "2026-06-13T20:09:39.474", "mongoId" : "6a2c6af174d8ee00a090f55b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "On-chain analytics", "Risk quantification", "Data analysis", "Rigorous logic", "Quick decisions", "Risk control", "Quantitative modeling", "On-chain monitoring", "Risk assessment", "Market risk quantification", "Cryptocurrency", "Digital finance", "Wealth management", "Smart contracts", "Yield pools", "Oracle manipulation", "Flash loan attacks", "Market manipulation", "VaR", "Stress testing", "Drawdown controls", "Liquidation thresholds", "Greeks", "Monte Carlo", "FRM", "CFA", "Etherscan", "Dune", "Nansen", "Bloomberg Terminal", "Reuters Eikon", "FactSet", "Murex", "Calypso" ], "skillCount" : 34, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 1065.7247, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "69fa9cbf4c40e2acd174f8c5", "title" : "Sr. Risk Manager, Transportation, Risk, and Compliance", "company" : "ADCI", "industry" : "Supply Chain/Transportation Management, Risk Family, Logistics", "salary" : { "min" : 2500000.0, "max" : 4000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Risk Manager in Logistics in Bengaluru, India, adjusted for seniority and company size." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "certifications" : [ "CPA", "CMA", "CISA", "CIA" ], "timestamp" : "2026-06-15T02:06:34.756", "fingerprint" : "4cc5cccd1b8cbce6010134c13d62df55133c6e9798c2ec7af7237b91c5c8eca5", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10411898/apply", "externalId" : "c444dad6-c3c1-427b-94c9-596215e941e8", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 6, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Risk management", "Internal audit" ], "hardSkillsList" : [ "Risk assessment", "Control design" ], "hardSkills" : [ { "name" : "Risk assessment", "level" : "intermediate" }, { "name" : "Control design", "level" : "intermediate" } ], "majorSkills" : "Risk management, Compliance", "majorSkillsList" : [ "Risk management", "Compliance" ], "coreResponsibilities" : "Assist stakeholders with identifying risks, Assist stakeholders with managing risks, Apply risk management framework, Influence product landscape for audit, Influence product landscape for controls, Guide senior leadership, Resolve risk management concerns, Implement mitigation strategies, Influence product roadmap, Perform readiness reviews on new program launches", "teamCollaboration" : "Work with business leaders; Work with legal teams; Work with product teams; Work with operations teams", "domainKnowledge" : "Transportation programs; Risk management framework; Business life-cycle", "domainList" : [ "transportation-programs", "risk-management-framework", "business-life-cycle" ], "domainSpecificKnowledge" : [ "Transportation programs", "Risk management framework", "Business life-cycle" ], "problemSolvingSkills" : "Risk assessment; Risk mitigation", "outcomesObjectives" : "Minimize negative surprises; Optimize strategic execution", "qualificationsBasic" : "6+ years compliance experience, 6+ years audit experience, 6+ years risk management experience", "qualificationsPreferred" : "Master's degree or equivalent, Experience performing risk assessments, Experience performing audits, Experience designing controls, Experience managing enterprise control frameworks, Experience prioritizing risk, Experience engaging with external stakeholders", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon’s Transportation Risk & Compliance (TRC) team provides a framework for Amazon’s transportation programs to identify and manage risk in a rapidly growing and complex, global environment. To support the business, our primary mission is to perform independent and objective assessment of risks and testing of the controls embedded in Amazon business partners’ processes with the goal of optimizing the achievement of strategic objectives by minimizing negative surprises. We are looking for an experienced Senior Risk Manager to join our Global Risk Management (GRM) team. As Amazon is continuously developing new transportation solutions, this global role will work with business leaders to maximize success through customizable risk management techniques. The successful candidate will propose innovative approaches and risk mitigation strategies throughout the business life-cycle. In this highly visible role, you will work closely with the legal, business, product, and operations teams on effective risk mitigation countermeasures to ensure continued safety and compliance for Amazon and our transportation partners. Key job responsibilities • Assist Amazon transportation stakeholders (e.g., risk partners and business leaders) with identifying and managing potential risks (e.g., regulatory, operational, or reputational) in their core processes that if left untreated could impact the achievement of their strategic objectives. • Apply the risk management framework to Amazon transportation programs and influence the product landscape for audit and controls. • Guide senior leadership, resolve risk management concerns, implement mitigation strategies, and influence the product roadmap. • Perform readiness reviews on new program launches. A day in the life This Senior Risk Manager will leverage their knowledge of regulations, their insight into industry standards, and their experience in risk assessment and mitigation to create and influence Amazon’s transportation policies and strategies throughout the business life-cycle. About the team The mission of TRC’s risk management function is to provide proactive risk solutions for identifying and managing risk across Amazon’s transportation organization and supporting growth by aligning risk management with performance and objective setting. The vision is to provide the business with risk information to support fact-based decision making thus optimizing strategic execution. Basic Qualifications: - 6+ years of compliance, audit or risk management experience Preferred Qualifications: - Master's degree or equivalent - Experience in risk management and internal audit including: performing risk assessments and audits, designing controls, managing enterprise control frameworks, and prioritizing risk - CPA, CMA, CISA, CIA or equivalent risk, audit, or compliance credentials - Experience in risk management, audit, legal, compliance or a related field including engaging with external stakeholders Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Sr. Risk Manager, Transportation, Risk, and Compliance at ADCI. Skills: Risk management, Compliance. Assist stakeholders with identifying risks. Assist stakeholders with managing risks", "postedDate" : "2026-06-13T13:22:32.090", "createdAt" : "2026-06-13T13:22:32.090", "lastUpdated" : "2026-06-15T02:06:34.756", "ingestTimestamp" : "2026-06-13T13:22:32.090", "mongoId" : "69fa9cbf4c40e2acd174f8c5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10411898/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Risk assessment", "Control design", "Risk management", "Compliance", "Internal audit", "Transportation programs", "Risk management framework", "Business life-cycle", "CPA", "CMA", "CISA", "CIA" ], "skillCount" : 12, "jobCategory" : "data", "dataQualityScore" : 1.0, "_score" : 1061.9995, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69fda4e64c40e2acd1b99b18", "title" : "Sr. Risk Manager, Transportation, Risk, and Compliance", "company" : "Amazon EU Sarl", "industry" : "Project/Program/Product Management--Non-Tech, Risk Family, Logistics", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Risk Manager in Luxembourg, adjusted for the logistics industry and large company size." }, "location" : "Luxembourg, LUX", "locations" : [ "Luxembourg, LUX" ], "certifications" : [ "Project Management Professional (PMP)" ], "timestamp" : "2026-06-15T08:35:35.433", "fingerprint" : "30df1fd83195bfcaf6a3de774b96ffd2f6028170c8471722b907df6f7608b900", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10412193/apply", "externalId" : "8062bf58-c118-4da3-aad0-9dcb415e5ab4", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Luxembourg", "country" : "Luxembourg", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "49.6112768,6.1297990" } ], "locationText" : "Luxembourg, Luxembourg", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Microsoft Office", "professionalSkills" : [ "Risk management", "Process improvements" ], "hardSkillsList" : [ "Risk assessment", "Control testing" ], "hardSkills" : [ { "name" : "Risk assessment", "level" : "intermediate" }, { "name" : "Control testing", "level" : "intermediate" } ], "majorSkills" : "Risk management, Compliance", "majorSkillsList" : [ "Risk management", "Compliance" ], "coreResponsibilities" : "Assist stakeholders with identifying and managing potential risks, Apply the risk management framework, Influence the product landscape for audit and controls, Guide senior leadership, Resolve risk management concerns, Implement mitigation strategies, Influence the product roadmap, Perform readiness reviews on new program launches", "teamCollaboration" : "Work with business leaders; Work closely with legal, business, product, and operations teams", "projectManagementSkills" : [ "PMP" ], "domainKnowledge" : "Transportation risk; Regulatory compliance; Operational risk; Reputational risk", "domainList" : [ "transportation-risk", "regulatory-compliance", "operational-risk", "reputational-risk" ], "domainSpecificKnowledge" : [ "Transportation risk", "Regulatory compliance", "Operational risk", "Reputational risk" ], "toolProficiency" : [ "Microsoft Office" ], "problemSolvingSkills" : "Risk mitigation", "qualificationsBasic" : "6+ years compliance, audit or risk management experience, Knowledge of Microsoft Office products and applications at an advanced level, Bachelor's degree or equivalent", "qualificationsPreferred" : "Project Management Professional (PMP) or equivalent certification, Experience leveraging technology and implementing lean principles / Six Sigma methodologies to drive process improvements or equivalent, Master's degree or equivalent", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon’s Transportation Risk & Compliance (TRC) team provides a framework for Amazon’s transportation programs to identify and manage risk in a rapidly growing and complex, global environment. To support the business, our primary mission is to perform independent and objective assessment of risks and testing of the controls embedded in Amazon business partners’ processes with the goal of optimizing the achievement of strategic objectives by minimizing negative surprises. We are looking for an experienced Senior Risk Manager to join our Global Risk Management (GRM) team. As Amazon is continuously developing new transportation solutions, this global role will work with business leaders to maximize success through customizable risk management techniques. The successful candidate will propose innovative approaches and risk mitigation strategies throughout the business life-cycle. In this highly visible role, you will work closely with the legal, business, product, and operations teams on effective risk mitigation countermeasures to ensure continued safety and compliance for Amazon and our transportation partners. Key job responsibilities • Assist Amazon transportation stakeholders (e.g., risk partners and business leaders) with identifying and managing potential risks (e.g., regulatory, operational, or reputational) in their core processes that if left untreated could impact the achievement of their strategic objectives. • Apply the risk management framework to Amazon transportation programs and influence the product landscape for audit and controls. • Guide senior leadership, resolve risk management concerns, implement mitigation strategies, and influence the product roadmap. • Perform readiness reviews on new program launches. A day in the life This Senior Risk Manager will leverage their knowledge of regulations, their insight into industry standards, and their experience in risk assessment and mitigation to create and influence Amazon’s transportation policies and strategies throughout the business life-cycle. About the team The mission of TRC’s risk management function is to provide proactive risk solutions for identifying and managing risk across Amazon’s transportation organization and supporting growth by aligning risk management with performance and objective setting. The vision is to provide the business with risk information to support fact-based decision making thus optimizing strategic execution. Basic Qualifications: - 6+ years of compliance, audit or risk management experience - Knowledge of Microsoft Office products and applications at an advanced level - Bachelor's degree or equivalent Preferred Qualifications: - Project Management Professional (PMP) or equivalent certification - Experience leveraging technology and implementing lean principles / Six Sigma methodologies to drive process improvements or equivalent - Master's degree or equivalent Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Sr. Risk Manager, Transportation, Risk, and Compliance at Amazon EU Sarl. Skills: Risk management, Compliance. Assist stakeholders with identifying and managing potential risks. Apply the risk management framework", "postedDate" : "2026-06-13T10:48:53.677", "createdAt" : "2026-06-13T10:48:53.677", "lastUpdated" : "2026-06-15T08:35:35.433", "ingestTimestamp" : "2026-06-13T10:48:53.677", "mongoId" : "69fda4e64c40e2acd1b99b18", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10412193/apply", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Risk assessment", "Control testing", "Risk management", "Compliance", "Process improvements", "PMP", "Transportation risk", "Regulatory compliance", "Operational risk", "Reputational risk", "Project Management Professional (PMP)", "Microsoft Office" ], "skillCount" : 12, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "_score" : 1060.3955, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Transportation" }, { "id" : "69fda4e24c40e2acd1b995fc", "title" : "Site Risk & Due Diligence Manager, Risk and Resiliency", "company" : "Amazon Data Services, Inc.", "industry" : "Project/Program/Product Management--Non-Tech, Tech Infrastructure Prgrm Mgmt, Cloud Computing", "salary" : { "min" : 100000.0, "max" : 171900.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T03:17:34.827", "fingerprint" : "e156dd8dff9cdfa95008caeae93b7ca0d6f8857df92068985769878e3dd17ea7", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10412555/apply", "externalId" : "5ad3d84b-84ab-455b-bec9-2c7e44dcfdea", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "AWS, EC2, S3, Lambda", "professionalSkills" : [ "Technical program management", "Site selection", "Technical due diligence", "Risk management", "Engineering", "Environmental studies", "Business development" ], "hardSkillsList" : [ "Site risk analysis", "Due diligence assessments", "Technical studies analysis", "Preliminary design" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Site risk analysis", "level" : "intermediate" }, { "name" : "Due diligence assessments", "level" : "intermediate" }, { "name" : "Technical studies analysis", "level" : "intermediate" }, { "name" : "Preliminary design", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Site selection, Due diligence, Risk analysis, Infrastructure growth", "majorSkillsList" : [ "Site selection", "Due diligence", "Risk analysis", "Infrastructure growth" ], "coreResponsibilities" : "Lead technical due diligence projects, Shape infrastructure growth, Shape infrastructure investments, Play key role in site selection, Play key role in site due diligence, Scope technical studies, Scope technical analysis, Evaluate prospective datacenter sites, Hire engineering consultancies, Oversee engineering consultancies, Hire technical consultancies, Oversee technical consultancies, Understand inter-relationships between disciplines, Coordinate with internal stakeholders, Interpret analysis results, Make site acquisition recommendations, Make design recommendations, Make engineering recommendations, Make technology recommendations, Evaluate impact of site risks, Evaluate impact of site constraints, Guide infrastructure expansion, Deliver technical site risk analysis, Deliver due diligence assessments, Own infrastructure site selection, Own due diligence projects, Apply standard approaches, Apply standard templates, Apply standard designs, Apply standard processes, Contract engineering studies, Contract environmental studies, Contract technical studies, Supervise engineering studies, Supervise environmental studies, Supervise technical studies, Interpret engineering study results, Interpret environmental study results, Interpret technical study results, Manage budgets, Establish schedules, Escalate technical risks, Escalate project risks, Make trade-offs based on priorities, Own multidisciplinary preliminary design, Assess real estate considerations, Assess engineering considerations, Assess construction considerations, Assess policy considerations, Assess environmental considerations, Assess planning considerations, Assess business development considerations, Draw conclusions from considerations, Make technical recommendations, Make business recommendations", "teamCollaboration" : "Partner with stakeholders; Coordinate with internal stakeholders; Collaborate across AWS", "projectManagementSkills" : [ "Technical program management", "Project management" ], "domainKnowledge" : "Datacenter site selection; Infrastructure design; Infrastructure planning; Infrastructure delivery; Infrastructure operation; Supply chain; Real estate; Construction; Policy; Environmental; Planning; Business development", "domainList" : [ "datacenter-site-selection", "infrastructure-design", "infrastructure-planning", "infrastructure-delivery", "infrastructure-operation", "supply-chain", "real-estate", "construction", "policy", "environmental", "planning", "business-development" ], "domainSpecificKnowledge" : [ "Datacenter site selection", "Infrastructure design", "Infrastructure planning", "Infrastructure delivery", "Infrastructure operation", "Supply chain", "Real estate", "Construction", "Policy", "Environmental", "Planning", "Business development" ], "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Risk assessment", "qualificationsBasic" : "3+ years technical infrastructure management, Knowledge of infrastructure best practices, Knowledge of emerging infrastructure technologies, Experience with infrastructure builds", "qualificationsPreferred" : "5+ years leading due diligence, 5+ years leading design activities, 5+ years leading engineering activities, 5+ years leading land development, Master's degree in engineering, Master's degree in scientific discipline, Equivalent experience to Master's degree, Licensed professional engineer, Licensed architect, Equivalent technical certification", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Play a leading role in datacenter site selection and technical due diligence at Amazon. You will lead technical site due diligence projects, partnering with stakeholders across the AWS infrastructure organization, to shape the future of AWS’ infrastructure growth and investments. You will play a key role in site selection and site due diligence for new and existing AWS regions. You will scope the technical studies and analysis required to appropriately evaluate prospective datacenter sites, hire and oversee the work of engineering and technical consultancies, understand the inter-relationships between technical disciplines, coordinate with internal stakeholders, and interpret the results of this analysis to make site acquisition, design, engineering, and technology recommendations. You will evaluate the impact of identified site risks and constraints on development costs and schedules. The right person for this role will have a strong track record of technical program management, the demonstrated ability to deliver multiple high priority projects simultaneously, the ability to drive alignment across teams with competing priorities, and be a strong advocate for technical risk management. Key job responsibilities - Guiding the expansion of AWS infrastructure in new and existing regions by delivering technical site risk analysis and due diligence assessments. - Owning infrastructure site selection and due diligence projects, applying standard approaches, templates, designs, and processes. - Scoping, contracting, supervising, coordinating, and interpreting the results of engineering, environmental, and technical studies - Managing budgets, establishing schedules, escalating technical and project risks, and making trade-offs based on business priorities. - Owning the multidisciplinary preliminary design for our sites consistent with AWS design standards and technical specifications. Assessing and drawing conclusions from a wide range of real estate, engineering, construction, policy, environmental, planning, and business development considerations and making associated technical and business recommendations. About the team AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. About AWS Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. #DCPD_Delivery Basic Qualifications: - 3+ years of technical infrastructure management experience - Knowledge of best practices and emerging technologies, related to infrastructure (i.e. network, data center, hardware, software) - Experience with varying scenarios of infrastructure builds Preferred Qualifications: - • 5+ years of experience leading due diligence, design, engineering and/or land development activities for large infrastructure projects - • Master's degree in an engineering or scientific discipline, or equivalent experience - • Licensed professional engineer/Architect with accredited institute, or equivalent technical certification Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 127,100.00 - 171,900.00 USD annually", "summaryDescription" : "Site Risk & Due Diligence Manager, Risk and Resiliency at Amazon Data Services, Inc.. Skills: Site selection, Due diligence, Risk analysis, Infrastructure growth. Lead technical due diligence projects. Shape infrastructure growth", "postedDate" : "2026-06-13T09:06:38.262", "createdAt" : "2026-06-13T09:06:38.262", "lastUpdated" : "2026-06-15T03:17:34.827", "ingestTimestamp" : "2026-06-13T09:06:38.262", "mongoId" : "69fda4e24c40e2acd1b995fc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10412555/apply", "salaryAnnualMin" : 100000, "salaryAnnualMax" : 171900, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Site risk analysis", "Due diligence assessments", "Technical studies analysis", "Preliminary design", "Leadership", "Site selection", "Due diligence", "Risk analysis", "Infrastructure growth", "Technical program management", "Technical due diligence", "Risk management", "Engineering", "Environmental studies", "Business development", "Project management", "Datacenter site selection", "Infrastructure design", "Infrastructure planning", "Infrastructure delivery", "Infrastructure operation", "Supply chain", "Real estate", "Construction", "Policy", "Environmental", "Planning" ], "skillCount" : 27, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "_score" : 1055.7428, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c6b1074d8ee00a091001a", "title" : "Risk & Fraud Analyst", "company" : "Skillz Inc.", "industry" : "Technology", "salary" : { "min" : 85000.0, "max" : 125000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Risk & Fraud Analyst in the US Technology industry, adjusted for company size and remote work." }, "location" : "Remote - US", "locations" : [ "Remote - US" ], "timestamp" : "2026-06-15T07:49:58.390", "fingerprint" : "f95028e975d8ce1d01c87b2fb41d5ed1ff77eb2f774b66785adae580d93e6651", "source" : "greenhouse", "language" : "en", "applyUrl" : "http://corp.skillz.com/careers-list/?gh_jid=7959454", "externalId" : "7959454", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "minimumEducation" : "Bachelor's", "technicalSkills" : "SQL", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Fraud analytics", "Fraud operations", "Risk analysis", "Rule design", "Risk scoring", "Manual review", "Data analysis", "Behavioral analysis", "Transaction analysis", "Reporting" ], "hardSkillsList" : [ "Fraud detection", "Chargeback management", "Risk assessment", "Data interpretation", "Identity graphing", "Behavioral risk signals", "Regulatory compliance" ], "hardSkills" : [ { "name" : "Fraud detection", "level" : "intermediate" }, { "name" : "Chargeback management", "level" : "intermediate" }, { "name" : "Risk assessment", "level" : "intermediate" }, { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Identity graphing", "level" : "intermediate" }, { "name" : "Behavioral risk signals", "level" : "intermediate" }, { "name" : "Regulatory compliance", "level" : "intermediate" } ], "majorSkills" : "Fraud detection, Risk mitigation, Compliance processes, Data analysis", "majorSkillsList" : [ "Fraud detection", "Risk mitigation", "Compliance processes", "Data analysis" ], "coreResponsibilities" : "Identify fraudulent activity, Prevent fraudulent activity, Reduce financial risk, Reduce operational risk, Strengthen compliance processes, Analyze fraud vectors, Develop mitigation strategies, Manage payment fraud, Manage chargebacks, Analyze transaction risk, Design fraud detection rules, Optimize fraud detection rules, Operationalize fraud detection rules, Design risk-scoring frameworks, Optimize risk-scoring frameworks, Operationalize risk-scoring frameworks, Design manual review processes, Optimize manual review processes, Operationalize manual review processes, Interpret device fingerprinting, Interpret identity graphing, Interpret behavioral risk signals, Support machine learning models, Support automated risk scoring, Support fraud decisioning systems, Reduce fraud losses, Lower chargeback ratios, Prevent promotional abuse, Prevent bonus abuse", "teamCollaboration" : "Cross-functional collaboration; Partner with Payments; Partner with Compliance; Partner with Legal; Partner with Trust & Safety; Partner with Customer Support; Partner with Data Science; Partner with Engineering teams", "domainKnowledge" : "Fraud vectors; Social sweepstakes; Social casino ecosystems; Multi-accounting; Bonus abuse; Chargeback farming; Redemption laundering; Payment fraud prevention; KYC; AML; US regulatory compliance; Online gaming; Sweepstakes environments; Real-money gaming", "domainList" : [ "fraud-vectors", "social-sweepstakes", "social-casino-ecosystems", "multi-accounting", "bonus-abuse", "chargeback-farming", "redemption-laundering", "payment-fraud-prevention", "kyc", "aml", "us-regulatory-compliance", "online-gaming", "sweepstakes-environments", "real-money-gaming" ], "domainSpecificKnowledge" : [ "Fraud vectors", "Social sweepstakes", "Social casino ecosystems", "Multi-accounting", "Bonus abuse", "Chargeback farming", "Redemption laundering", "Payment fraud prevention", "KYC", "AML", "US regulatory compliance", "Online gaming", "Sweepstakes environments", "Real-money gaming" ], "toolProficiency" : [ "Fingerprint.com", "Sift", "Forter", "Ethoca", "Verifi RDR/CDRN", "Tableau", "Looker" ], "communicationSkills" : "Translate fraud findings; Actionable business recommendations", "problemSolvingSkills" : "Analytical skills; Investigative mindset", "outcomesObjectives" : "Protect platform integrity; Support sustainable business growth; Reduce fraud-related losses; Lower chargeback ratios; Prevent promotional abuse; Prevent bonus abuse", "qualificationsBasic" : "3-5 years fraud analytics experience, 2+ years US social sweepstakes experience, Advanced SQL proficiency, Experience analyzing transactional datasets, Experience analyzing behavioral datasets, Experience building fraud dashboards, Experience supporting fraud reporting, Experience with risk platforms, Bachelor's degree", "qualificationsPreferred" : "Master's degree, Experience with Fingerprint.com, Experience with Sift, Experience with Forter, Experience with Ethoca, Experience with Verifi RDR/CDRN, Experience with BI tools, Experience with Tableau, Experience with Looker, Experience with Data Science teams, Experience with Engineering teams, Experience with machine learning models, Experience with automated risk scoring, Experience with fraud decisioning systems", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About the Company If you want to build, develop, and see your impact, join Skillz and level up your Career! Skillz, the first publicly-traded mobile eSports platform that hosts billions of casual mobile gaming tournaments for millions of players worldwide, is revolutionizing the gaming industry. By fostering social competition within games, the Skillz platform helps developers build multi-million dollar franchises by enabling real-money activity in their games and providing operational support while connecting players through fair, enjoyable, and meaningful competition. At Skillz, we understand the thrill of achievement and the satisfaction of overcoming challenges. Want to join a team made up of alums from Apple, Amazon, Google, Microsoft, Tesla, Twitter (X), Roblox, Zynga, Samsung, Lyft, EA, Riot, Nexon, Gameskraft, PlayStation, Unity, Scopely, Tinder, Intel, Deloitte, EY, Twitch, DraftKings, Wynn Resorts and more? Learn more to see if Skillz is the right fit for your next career move! Why Skillz Culture of Impact: Join a united team of builders, creators, innovators, and entrepreneurs driven by the desire to win. At Skillz, we create value, obsess over our product, and make a difference in the world. Comprehensive Benefits: Enjoy peace of mind with our comprehensive benefits package, which includes 100% coverage for medical, dental, and vision expenses for both you and your dependents. Additionally, take advantage of our 401K matching, equity incentives, pre-tax benefit options, and more. Wellness Support: Enhance your well-being with our array of wellness initiatives, including meditation and mental health resources, physical fitness coaching and classes, family planning assistance, health and parenting guidance, virtual therapy sessions, and more. Time off: We offer competitive paid time off (PTO) & company holidays to help you recharge and pursue your passions. Las Vegas Headquarters: Skillz strongly believes in a five-day a week, collaborative office environment at our 36,000+ square foot headquarters. Enjoy free breakfast and catered lunches, snacks, a full-size gym with showers, commuter benefits, insurance, team bonding events and many more. Recognized Success: Skillz has earned recognition as one of Fast Company's Most Innovative Companies, CNBC's Disruptor 50, San Francisco Business Times' Best Places to Work, Forbes' Next Billion-Dollar Startups, and the #1 fastest-growing company in America on the Inc. 5000 list, and many more. Development Opportunities: We hold our employees to high standards while providing them with professional growth opportunities. We operate like a startup, and encourage all of our employees to collaborate and voice feedback about our product and ways we can improve as a business. We believe in never settling, and that also pertains to your growth. About the Role We are seeking a detail-oriented Risk & Fraud Analyst to help protect the integrity of our platform and support sustainable business growth. This role will focus on identifying and preventing fraudulent activity, reducing financial and operational risk, and strengthening compliance processes across payments, promotions, and customer accounts. The ideal candidate brings strong analytical skills, experience in fraud operations, and the ability to proactively develop scalable solutions in a fast-paced environment. Key Competencies Deep understanding of fraud vectors within social sweepstakes and social casino ecosystems, including multi-accounting, bonus abuse, chargeback farming, and redemption laundering patterns Strong analytical and investigative mindset with the ability to identify emerging fraud trends and implement scalable mitigation strategies Expertise in payment fraud prevention, chargeback management, and transaction risk analysis within high-volume consumer platforms Ability to design, optimize, and operationalize fraud detection rules, risk-scoring frameworks, and manual review processes Proficiency in interpreting device fingerprinting, identity graphing, and behavioral risk signals to detect linked or synthetic accounts Strong cross-functional collaboration skills, with the ability to partner effectively across Payments, Compliance, Legal, Trust & Safety, Customer Support, and Data Science teams Knowledge of KYC, AML, and US regulatory compliance considerations relevant to online gaming or sweepstakes environments Excellent communication skills with the ability to translate complex fraud findings into actionable business recommendations Experience 3-5 years of fraud analytics or fraud operations experience, including at least 2 years within US social sweepstakes, social casino, real-money gaming, or similarly regulated digital platforms Hands-on experience with fraud prevention and risk platforms such as Fingerprint.com, Sift, Forter, Ethoca, Verifi RDR/CDRN, or similar tools Advanced SQL proficiency with experience analyzing transactional and behavioral datasets at scale Experience building or supporting fraud reporting dashboards and operational analytics using Tableau, Looker, or equivalent BI tools Demonstrated success reducing fraud-related losses, lowering chargeback ratios, and preventing promotional or bonus abuse Experience partnering with Data Science or Engineering teams to support machine learning models, automated risk scoring, or fraud decisioning systems Bachelor’s or Master’s degree in Analytics, Statistics, Economics, Computer Science, Mathematics, or a related quantitative field preferred Location: remote, USA Travel Requirement: Less than 10% Join Skillz and Let's Redefine the Boundaries of Gaming! Together, we'll create a world where skill, passion, and innovation thrive. We look forward to having you on board! #LI-Onsite #LI-MN1 Skillz embraces diversity and is proud to be an equal opportunity employer. As part of our commitment to diversifying our workforce, we do not discriminate on the basis of age, race, sex, gender, gender identity, color, religion, national origin, sexual orientation, marital status, citizenship, veteran status, or disability status, and we operate in compliance with the San Francisco Fair Chance Ordinance.", "summaryDescription" : "Risk & Fraud Analyst at Skillz Inc.. Skills: Fraud detection, Risk mitigation, Compliance processes, Data analysis. Identify fraudulent activity. Prevent fraudulent activity", "postedDate" : "2026-06-13T22:00:11.145", "createdAt" : "2026-06-13T22:00:11.145", "lastUpdated" : "2026-06-15T07:49:58.390", "ingestTimestamp" : "2026-06-13T22:00:11.145", "mongoId" : "6a2c6b1074d8ee00a091001a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 125000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Fraud detection", "Chargeback management", "Risk assessment", "Data interpretation", "Identity graphing", "Behavioral risk signals", "Regulatory compliance", "Risk mitigation", "Compliance processes", "Data analysis", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Fraud analytics", "Fraud operations", "Risk analysis", "Rule design", "Risk scoring", "Manual review", "Behavioral analysis", "Transaction analysis", "Reporting", "Fraud vectors", "Social sweepstakes", "Social casino ecosystems", "Multi-accounting", "Bonus abuse", "Chargeback farming", "Redemption laundering", "Payment fraud prevention", "KYC", "AML", "US regulatory compliance", "Online gaming", "Sweepstakes environments", "Real-money gaming", "Fingerprint.com", "Sift", "Forter", "Ethoca", "Verifi RDR/CDRN", "Tableau", "Looker" ], "skillCount" : 47, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 1054.9073, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6a9f74d8ee00a090cf17", "title" : "Risk Intelligence Lead", "company" : "Forward", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Risk Intelligence Lead in Austin, United States, adjusted for the FinTech industry and company size." }, "location" : "Austin, Texas, United States", "locations" : [ "Austin", "Texas", "United States" ], "timestamp" : "2026-06-15T10:43:38.638", "fingerprint" : "2df214030fbe7ad0a287ff6999f7bd4515322b9e71d511a47890b1028aec224e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://getfwd.com/careers?gh_jid=5135662007", "externalId" : "5135662007", "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "SQL, Python, Snowflake, Snowflake Cortex, Metabase, Retool, AI", "professionalSkills" : [ "Risk assessment", "Merchant lifecycle management", "KYB verification", "Due diligence", "Risk profiling", "Bank account verification", "Transaction monitoring", "Fraud case management", "Chargeback resolution", "Risk policy", "Onboarding risk", "Pattern recognition", "Root cause analysis", "Rule changes", "Operational tooling", "Model interpretation", "Risk narratives", "Regulatory compliance", "Audit preparation" ], "hardSkillsList" : [ "Data analysis", "Machine learning", "AI workflows", "SQL reporting", "Data infrastructure", "Automation scripting", "Agentic workflows", "Anomaly detection", "Fraud detection", "Risk modeling" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "AI workflows", "level" : "intermediate" }, { "name" : "SQL reporting", "level" : "intermediate" }, { "name" : "Data infrastructure", "level" : "intermediate" }, { "name" : "Automation scripting", "level" : "intermediate" }, { "name" : "Agentic workflows", "level" : "intermediate" }, { "name" : "Anomaly detection", "level" : "intermediate" }, { "name" : "Fraud detection", "level" : "intermediate" }, { "name" : "Risk modeling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Risk intelligence, Data analytics, Machine learning, Automation", "majorSkillsList" : [ "Risk intelligence", "Data analytics", "Machine learning", "Automation" ], "coreResponsibilities" : "Own the Day-to-Day Merchant Lifecycle, Manage the merchant application review queue, Evaluate onboarding submissions, Perform multi-layered KYB verification, Conduct Enhanced Due Diligence, Apply risk-based profiling, Stratify incoming applications, Calibrate review depth, Oversee bank account linking and verification, Troubleshoot exceptions, Monitor for suspicious changes, Review and action transaction monitoring and fraud cases, Escalate policy-level judgment, Handle bank returns, disputes, and chargeback escalations, Resolve escalations, Act as subject matter expert, Train junior team members, Build playbooks, Identify Patterns and Act on Them, Monitor queues across the cohort, Own the auto-adjudication boundary, Perform root cause analysis, Own the fix through to deployment, Partner with Engineering, Translate operational patterns into rule changes, Build the Intelligence Layer, Own SQL-based reporting and analytical infrastructure, Design and operate AI-assisted review workflows, Distill merchant application context, Build Taktile AI agents, Handle multi-step investigative tasks, Build and maintain Metabase dashboards, Provide real-time visibility, Translate raw warehouse data into forward-looking signals, Surface adverse trends, Detect anomalies at pattern level, Own model literacy for the team, Interpret fraud model outputs, Translate model outputs into operational decisions, Drive Automation and Tooling, Identify manual workflows for elimination, Own delivery of automation improvements, Maintain SOPs, Build runbooks, Maintain runbooks, Spec operational tooling, Test operational tooling, Validate operational tooling", "teamCollaboration" : "Partner with Engineering; Cross-functional stakeholders; Risk Data Scientist", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Payments risk; Merchant onboarding; Fraud detection; KYC; AML; Sanctions screening; Due diligence; Transaction monitoring; Chargebacks; Visa VAMP; Mastercard ACMP; Payment processing; Risk policy; Model governance; ECOA fairness; Agentic workflows", "domainList" : [ "payments-risk", "merchant-onboarding", "fraud-detection", "kyc", "aml", "sanctions-screening", "due-diligence", "transaction-monitoring", "chargebacks", "visa-vamp", "mastercard-acmp", "payment-processing", "risk-policy", "model-governance", "ecoa-fairness", "agentic-workflows" ], "domainSpecificKnowledge" : [ "Payments risk", "Merchant onboarding", "Fraud detection", "KYC", "AML", "Sanctions screening", "Due diligence", "Transaction monitoring", "Chargebacks", "Visa VAMP", "Mastercard ACMP", "Payment processing", "Risk policy", "Model governance", "ECOA fairness", "Agentic workflows" ], "toolProficiency" : [ "Taktile", "Metabase", "Retool", "Snowflake Cortex", "CommsHub" ], "communicationSkills" : "Present findings", "documentationSkills" : "Build playbooks; Build runbooks; Maintain SOPs", "continuousLearning" : "Learning and development budget; Conferences; Courses; Certifications", "innovationCreativity" : "Build intelligence layer; Drive automation; AI-assisted workflows", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Anomaly detection", "outcomesObjectives" : "Case review SLA attainment 95%+; Average case resolution time within tier; Alert false positive rate under 5%; Auto-adjudication rate 70%+; Case escalation rate under 10%; Dashboard coverage for workflows; Detect emerging patterns; Track VAMP and ACMP ratios; Monitor fraud model performance; Manual steps decline quarter-over-quarter; AI tooling embedded in workflows; SOPs and runbooks current; SAR filing timely; Audit trails complete; Bank sponsor audit documentation ready", "qualificationsBasic" : "5+ years experience, SQL proficiency, Bachelor's degree", "qualificationsPreferred" : "PhD preferred, Metabase experience, Retool experience, Snowflake Cortex experience, Decisioning platforms experience, Configure rule changes without engineering support, PFAC environment experience, ISO environment experience, Payment facilitator environment experience, Model governance exposure, Risk policy documentation exposure, Bank sponsor audit preparation exposure, ECOA fairness requirements familiarity, Agentic workflows experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About the Role Forward's Risk and Compliance Operations is scaling to support 45x merchant volume without 45x headcount. The only way that works is if the function gets smarter faster than it grows. That is what this role exists to build. The Risk Intelligence Lead owns the analytical core of RCO. You will build the intelligence layer that powers decision-making across the function: dashboards that surface trends, patterns, and anomalies before they become incidents; AI-assisted workflows that compress review time and reduce manual effort; SQL infrastructure that turns raw operational data into forward-looking signals; and the automation that systematically eliminates the manual work that does not need to be manual. What makes this role distinct is where the intelligence comes from. You do not study the operation from a distance - you sit in it. Reviewing alerts and cases, working through merchant applications, understanding the day-to-day rhythm of the work is what gives you the pattern recognition to build systems that actually work. The best analytical infrastructure is built by someone who has lived the friction, not just modeled it. This is a build role at a company scaling fast. The person who does this well will shape what the RCO function looks like at 10x, 20x, 50x - and will grow directly with it. Key Responsibilities Own the Day-to-Day Merchant Lifecycle Manage the merchant application review queue: evaluate onboarding submissions for accuracy, completeness, and risk indicators - including multi-layered KYB verification (legal structure, beneficial ownership, UBO identification, PEP and sanctions screening) and Enhanced Due Diligence for high-risk merchant segments. Apply risk-based profiling: stratify incoming applications by geography, industry, transaction profile, and ownership structure - calibrating review depth to risk tier (standard, elevated, EDD) rather than applying uniform scrutiny to every application. Oversee bank account linking and verification, troubleshooting exceptions and monitoring for suspicious changes: account swaps pre- or post-large transaction clusters, mismatched ownership, high-risk bank patterns. Review and action transaction monitoring and fraud cases within defined SLA tiers: Tier 1 high-risk cases under 4 hours, Tier 2 medium-risk cases under 24 hours. Escalate where policy-level judgment is required. Handle bank returns, disputes, and chargeback escalations with timely resolution - operating within Visa VAMP and Mastercard ACMP thresholds, which now govern both fraud and chargeback disputes in a single consolidated ratio with consequences for exceeding them. Act as subject matter expert for onboarding and operational risk - training and guiding junior team members as the function scales, building playbooks that help others reach your level of judgment. Identify Patterns and Act on Them Monitor onboarding, TM, and fraud queues not just case by case, but across the cohort: \"why do merchants in this vertical have 3x the chargeback rate of others?\" is as important as \"what do I do with this one case?\" Own the auto-adjudication boundary: define what should be handled without manual touch (low-risk, clean profile, within thresholds) versus what requires human review - and push that boundary forward systematically. Target: 70%+ of cases handled without manual touch, growing month-over-month. Perform root cause analysis on recurring issues and own the fix through to deployment. Not just \"I found it\" - \"I fixed it.\" Partner with Engineering to translate operational patterns into Taktile rule changes, Metabase dashboards, Retool screen improvements, or CommsHub triggers. Build the Intelligence Layer Own the SQL-based reporting and analytical infrastructure that powers RCO decision-making: activation trends, TM alert patterns, onboarding funnel drop-off, chargeback attribution, volume anomalies, and VAMP/ACMP ratio tracking against Visa and Mastercard program thresholds by partner and vertical. Design and operate AI-assisted review workflows: LLM-based case summarization (using Snowflake Cortex or equivalent) that distills merchant application context, KYC documents, and prior case history into a reviewable brief before a human touches the case. Build Taktile AI agents that handle multi-step investigative tasks - sanctions check, UBO verification, risk score retrieval, reviewer routing - as a single agentic workflow rather than a sequence of manual steps. Build and maintain the Metabase dashboards and operational views that give the RCO team real-time visibility: alert volume and SLA attainment by tier, auto-adjudication rate trending, false positive rate by rule, merchant health scorecards, and chargeback rate by partner and vertical. Translate raw warehouse data into forward-looking signals: surface where volume, risk, or friction is trending adverse before it becomes an incident. Anomaly detection that fires at the pattern level, not just the individual case level. Own model literacy for the team: interpret and act on fraud model outputs (risk scores, confidence signals, anomaly flags) from the Risk Data Scientist, and translate them into operational decisions and rule threshold adjustments in Taktile. Drive Automation and Tooling Identify manual workflows that can be eliminated through Python scripting, automation, or AI tooling - and own delivery of those improvements through to deployment. Examples: hourly scripts that pull high-risk merchant alerts and route them; daily scripts that check metrics against thresholds and fire Slack notifications; webhook-triggered agentic workflows that kick off investigation steps the moment a flag fires. Maintain SOPs that reflect how the team actually operates - living playbooks, not static documentation. Every new process you build gets a runbook. Every runbook gets maintained. Spec, test, and validate operational tooling in partnership with Engineering; represent the operations perspective in product and roadmap discussions. Track and report automation rate as a first-class metric: how many cases are being handled without manual touch this month versus last month? That number should be going up. Lead the Function Serve as the senior RCO voice in cross-functional discussions with Engineering, Product, GTM, and Support. Provide data-backed input on partner-level risk trends, onboarding friction, and fraud patterns to inform product roadmap prioritization. Design the Risk Intelligence function for scale: as headcount grows beneath this role, define the team structure, tooling stack, operational cadence, and SLA framework. Support the CRCO directly with ad-hoc analytical requests, board-level risk narratives, regulatory prep, and bank sponsor audit documentation. Own regulatory monitoring for the function: track changes to Visa VAMP thresholds, Mastercard ACMP updates, FinCEN guidance, and OCC BSA/AML examination procedures - and translate regulatory changes into operational implications before they become compliance gaps. Required Qualifications 4-7 years in fraud analysis, risk operations, compliance operations, or fintech - with hands-on queue ownership (merchant onboarding, TM case review, dispute resolution), not just oversight. Deep knowledge of KYC/KYB: multi-layered business verification, UBO identification and beneficial ownership mapping, PEP and OFAC sanctions screening, EDD triggers, and perpetual ongoing monitoring (not a one-time event at onboarding). Strong working knowledge of AML/BSA: SAR filing obligations and thresholds, structuring and money laundering typologies, high-risk red flags, and OCC/FinCEN examination standards. Strong working knowledge of card payment processing: authorizations, settlements, Visa VAMP and Mastercard ACMP chargeback and fraud monitoring programs, dispute timelines, and acquirer liability frameworks. Strong working knowledge of ACH processing: return codes, NACHA guidelines, bank return resolution, and exception handling. SQL proficiency - comfortable pulling and interpreting operational data from a modern data warehouse, navigating complex schemas, and writing queries that surface cohort-level patterns. Snowflake experience preferred. Python scripting for operational automation: scheduling scripts, API integration, data manipulation, alert generation, and report distribution. This is operational automation, not ML modeling - scripts that eliminate manual steps. Demonstrated experience using AI tools (LLMs, agentic workflows, automation frameworks) to augment operational work: case summarization, triage acceleration, multi-step investigative workflows. Track record of driving process and tool improvements from identification through deployment. Strong written and verbal communication: produces clear case documentation and risk narratives, presents findings to cross-functional stakeholders. Preferred Qualifications Experience with Metabase, Retool, Snowflake Cortex, or similar data and ops tooling. Familiarity with decisioning platforms (Taktile, Provenir, or similar) and the ability to configure rule changes without engineering support. Experience in a PFAC, ISO, or payment facilitator environment. Exposure to model governance, risk policy documentation, or bank sponsor audit preparation (SR 11-7 framework). Familiarity with ECOA fairness requirements: disparate impact analysis and the operational implication of risk rules that have unintended demographic effects. Experience building or maintaining agentic workflows for compliance or fraud investigation tasks. What Success Looks Like Operational Throughput Case review SLA attainment is 95%+ across all tiers. Nothing ages without a decision. Average case resolution time within tier: Tier 1 high-risk under 4 hours, Tier 2 medium-risk under 24 hours, Tier 3 standard under 7 days. Alert false positive rate: under 5% is acceptable; under 2% is excellent. Analyst time goes to real risk, not noise. Auto-adjudication rate at 70%+, growing month-over-month. Case escalation rate under 10%: high escalation rates signal miscalibrated rules or a model that needs tuning. Intelligence and Visibility Every key operational workflow has dashboard coverage. No blind spots. Execs look at your dashboards daily. Anomalies surface before they escalate: the team detects emerging patterns at the cohort level, not because a merchant complained. VAMP and ACMP ratios are tracked in real time by partner and vertical - the team knows before a threshold is crossed, not after. Fraud model performance is monitored in partnership with the Risk Data Scientist: detection rate, precision, recall, and drift are tracked and acted on. Automation and Scale Manual steps in core workflows decline quarter-over-quarter, driven by automation you own and delivered. AI tooling is embedded in at least two core workflows within 90 days, with measurable time savings tracked and reported. SOPs and runbooks are current, used by the team, and help new hires ramp in weeks not months. Regulatory Readiness SAR filing is timely: 100% of identified reportable activity filed within the 30-day regulatory deadline. Audit trails are complete: every decision is logged with who, when, why, what rule or signal triggered it, and what the outcome was. Bank sponsor audit documentation is ready on request - no scramble. The Risk Intelligence function is documented, scalable, and does not depend on any single person to operate. What We Offer Competitive salary and equity package. Comprehensive health, dental, and vision benefits. Flexible work arrangements and generous PTO. Learning & development budget for conferences, courses, and certifications. A direct line to shaping the operational and analytical architecture of a payments risk function scaling to 45x.", "summaryDescription" : "Risk Intelligence Lead at Forward. Skills: Risk intelligence, Data analytics, Machine learning, Automation. Own the Day-to-Day Merchant Lifecycle. Manage the merchant application review queue", "postedDate" : "2026-06-13T16:32:05.077", "createdAt" : "2026-06-13T16:32:05.077", "lastUpdated" : "2026-06-15T10:43:38.638", "ingestTimestamp" : "2026-06-13T16:32:05.077", "mongoId" : "6a2c6a9f74d8ee00a090cf17", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Machine learning", "AI workflows", "SQL reporting", "Data infrastructure", "Automation scripting", "Agentic workflows", "Anomaly detection", "Fraud detection", "Risk modeling", "Leadership", "Risk intelligence", "Data analytics", "Automation", "Risk assessment", "Merchant lifecycle management", "KYB verification", "Due diligence", "Risk profiling", "Bank account verification", "Transaction monitoring", "Fraud case management", "Chargeback resolution", "Risk policy", "Onboarding risk", "Pattern recognition", "Root cause analysis", "Rule changes", "Operational tooling", "Model interpretation", "Risk narratives", "Regulatory compliance", "Audit preparation", "Roadmap planning", "Payments risk", "Merchant onboarding", "KYC", "AML", "Sanctions screening", "Chargebacks", "Visa VAMP", "Mastercard ACMP", "Payment processing", "Model governance", "ECOA fairness", "Taktile", "Metabase", "Retool", "Snowflake Cortex", "CommsHub" ], "skillCount" : 50, "jobCategory" : "operations", "jobSubcategory" : "operations", "dataQualityScore" : 0.8888889, "_score" : 1054.6116, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2cd53874d8ee00a0a3a563", "title" : "BNPL Risk Lead", "company" : "Abound", "industry" : "Product", "salary" : { "min" : 100000.0, "max" : 150000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead BNPL Risk Lead in London, UK, adjusted for the FinTech industry and company size." }, "location" : "London", "locations" : [ "London" ], "timestamp" : "2026-06-16T01:20:04.332", "fingerprint" : "c2c362448385642009d44e5649d3ba6d564ceba680d6d768e529eae551e6d3ed", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/abound/be741a64-029b-4a35-aaea-63e4b99025b8/application", "externalId" : "be741a64-029b-4a35-aaea-63e4b99025b8", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "AI, Open Banking data", "professionalSkills" : [ "Risk management", "Credit decisioning", "Credit risk measurement", "Fraud risk management", "Product design", "Funding compliance", "Merchant throttling", "Impairment provisioning", "Portfolio monitoring", "Risk assessment", "Stakeholder management" ], "hardSkillsList" : [ "Credit risk analysis", "IFRS 9 ECL", "ECL model governance", "Macroeconomic overlays" ], "hardSkills" : [ { "name" : "Credit risk analysis", "level" : "intermediate" }, { "name" : "IFRS 9 ECL", "level" : "intermediate" }, { "name" : "ECL model governance", "level" : "intermediate" }, { "name" : "Macroeconomic overlays", "level" : "intermediate" } ], "majorSkills" : "Risk management, Credit risk, Impairment provisioning", "majorSkillsList" : [ "Risk management", "Credit risk", "Impairment provisioning" ], "coreResponsibilities" : "Define credit risk metrics, Maintain credit risk metrics, Define concentration limits, Maintain concentration limits, Define portfolio triggers, Maintain portfolio triggers, Drive risk-based analysis, Manage merchant concentration risk, Manage risk framework, Act as risk lead, Provide risk input, Assess risk-return trade-offs, Identify novel product risks, Monitor novel product risks, Ensure governance for risks, Ensure adherence to risk limits, Ensure adherence to funding triggers, Act as point of contact for funders, Act as point of contact for auditors, Act as point of contact for advisors, Lead risk workstreams for funding, Lead risk workstreams for warehouse renewals, Lead risk workstreams for external reviews, Own merchant risk framework, Develop merchant throttling criteria, Maintain merchant throttling criteria, Develop oversight of merchant metrics, Maintain oversight of merchant metrics, Balance growth with risk limits, Oversee impairment framework, Oversee IFRS 9 staging logic, Oversee ECL model governance, Oversee impairment assumptions, Ensure provisions are accurate, Ensure provisions are defensible, Ensure provisions are communicated, Monitor forward-looking indicators, Monitor macroeconomic overlays, Escalate risks, Provide risk updates to committees, Provide risk updates to management, Identify emerging risks, Ensure timely escalation, Ensure timely remediation, Define reporting frameworks, Maintain reporting frameworks", "teamCollaboration" : "Work with product teams; Work with data science; Work with finance; Work with senior leadership; Collaborate with data scientists; Collaborate with product managers; Collaborate with finance; Collaborate with senior leadership; Engage with funders; Engage with auditors; Engage with board-level audiences", "domainKnowledge" : "Retail finance products; BNPL; Unsecured personal loans; Retail credit; Point-of-sale finance; Product lifecycle; Risk dynamics; Credit risk; Product risk; Funding compliance; Impairment; IFRS 9; Merchant risk management; B2B2C risk structures; Credit performance", "domainList" : [ "retail-finance-products", "bnpl", "unsecured-personal-loans", "retail-credit", "point-of-sale-finance", "product-lifecycle", "risk-dynamics", "credit-risk", "product-risk", "funding-compliance", "impairment", "ifrs-9", "merchant-risk-management", "b2b2c-risk-structures", "credit-performance" ], "domainSpecificKnowledge" : [ "Retail finance products", "BNPL", "Unsecured personal loans", "Retail credit", "Point-of-sale finance", "Product lifecycle", "Risk dynamics", "Credit risk", "Product risk", "Funding compliance", "Impairment", "IFRS 9", "Merchant risk management", "B2B2C risk structures", "Credit performance" ], "toolProficiency" : [ "Bloomberg Terminal", "Reuters Eikon", "FactSet" ], "communicationSkills" : "Present complex topics; Senior presentations; Non-technical presentations", "problemSolvingSkills" : "Quantitative detail", "qualificationsBasic" : "3+ years retail finance product experience, Broad credit risk expertise, Experience owning impairment frameworks, Written and verbal communication", "qualificationsPreferred" : "Familiarity with merchant risk management, Familiarity with B2B2C risk structures, Track record engaging funders", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Abound We’re redefining consumer lending in the UK, and beyond. Using advanced AI and Open Banking data, we make fair, affordable personal finance available to more people. While traditional lenders rely almost entirely on credit scores, we look at the full financial picture - how much you spend, and what you can afford to repay to build a deeper, more accurate understanding of each customer's unique financial situation. And we've shown it works at scale. We’ve issued over £1.3bn in loans directly to customers while delivering market-leading credit performance - for every 10 defaults the industry expects, we see only 3. We also reached profitability just 2.5 years after launch. Backed by £2bn+ of funding from top-tier investors including Citi, GSR Ventures, and Deutsche Bank, we’re recognised as one of Europe’s fastest-growing fintechs (Sifted, CNBC). Now, we’re expanding into new markets and product lines - and we’re looking for ambitious people who want to learn fast, take ownership, and grow with us. About the role We are hiring a Retail Finance Risk Lead to take full ownership of risk management across our retail finance product suite. This is a senior, hands-on role with broad scope – spanning credit decisioning, credit risk measurement, fraud risk management, product design, funding compliance, merchant throttling, and impairment – with direct accountability for how risk is identified, measured, managed, and reported. The successful candidate will act as the business’s primary risk authority for retail finance products, working closely with product, data science, finance, and senior leadership teams. This role requires both strategic thinking and a willingness to get into the detail: you will set the framework and own the outcomes. What you'll be doing Credit Decisioning & Risk Measurement - Define and maintain credit risk metrics, concentration limits, and portfolio triggers, ensuring consistent measurement across products. - Drive risk-based analysis to inform appetite, cut-off adjustments, and portfolio strategy. - Manage merchant concentration risk and manage the risk framework Product Design & Commercialisation - Act as the risk lead counterpart for new product development, providing risk input from concept through to launch. - Assess and articulate risk-return trade-offs to support commercially sound product design decisions. - Identify and monitor novel product risks (e.g. Section 75, merchant concentration) and ensure appropriate governance is in place. Funding & Compliance - Ensure adherence to internally defined risk limits and externally defined triggers arising from funding and warehouse arrangements. - Act as a key point of contact for funders, auditors, and advisors on credit and product risk matters. - Lead risk-related workstreams for funding due diligence, warehouse renewals, and external reviews. Merchant Throttling - Own the merchant risk framework, including criteria for throttling, suspension, or enhanced monitoring of merchant partners. - Develop and maintain oversight of merchant-level concentration and performance metrics. - Work closely with commercial and product teams to balance growth objectives with risk limits. Impairment & Provisioning - Oversee the impairment framework, including IFRS 9 staging logic, ECL model governance, and assumptions. - Partner with finance to ensure provisions are accurate, defensible, and well-communicated. - Monitor forward-looking indicators and macroeconomic overlays, escalating where necessary. Governance & Reporting - Provide clear, structured risk updates to Product Steering Committees, Board Risk Committees, and senior management. - Proactively identify emerging risks and ensure timely escalation and remediation. - Define and maintain standardised reporting frameworks, ensuring consistency and comparability as the business scales. Who you are - A decisive, commercially minded risk professional with full-stack ownership mentality – comfortable setting strategy and executing in the detail. - Technically strong across credit risk disciplines: decisioning, modelling, impairment, funding, and portfolio monitoring. - Naturally collaborative, able to work effectively with data scientists, product managers, finance, and senior leadership. - Confident challenging assumptions and narratives constructively, with a track record of influencing outcomes. - Highly organised and execution-focused, with strong stakeholder management skills. - Credible and composed when engaging with funders, auditors, and board-level audiences. - At least 3 years’ experience working directly with a relevant retail finance product such as BNPL, Unsecured Personal Loans, retail credit, or point-of-sale finance – with a strong understanding of the product lifecycle and associated risk dynamics. - Broad credit risk expertise spanning decisioning, risk measurement, product risk, funding/warehouse compliance, and impairment/IFRS 9. - Experience owning or contributing to impairment frameworks (IFRS 9 ECL), including staging logic, model governance, and macroeconomic overlays. - Familiarity with merchant risk management or B2B2C risk structures is advantageous. - Track record of engaging with funders, auditors, or rating agencies on risk and credit performance topics. - Strong written and verbal communication skills; able to present complex risk topics clearly to senior and non-technical audiences. - Comfortable working closely with data scientists and getting into quantitative detail, without necessarily being a practitioner modeller. Why Abound - Own a genuinely broad and senior risk role with full accountability across the risk lifecycle for retail finance. - Work closely with the CRO, senior leadership, product teams, and external stakeholders in a high-trust, high-visibility position. - Help shape the risk framework for a fast-scaling fintech expanding into new markets and product lines. - Real responsibility and impact from day one, with the opportunity to build and develop a team as the business grows. What we offer - Everyone owns a piece of the company – equity. - Hybrid working with 3 days a week in the office. - 25 days’ holiday a year, plus 8 bank holidays. - 2 paid volunteering days per year. - One month paid sabbatical after 4 years. - Employee loan. - Free gym membership. - Team wellness budget to be active together – set up a yoga class, a tennis lesson or go bouldering.", "summaryDescription" : "BNPL Risk Lead at Abound. Skills: Risk management, Credit risk, Impairment provisioning. Define credit risk metrics. Maintain credit risk metrics", "createdAt" : "2026-06-14T18:45:40.197", "lastUpdated" : "2026-06-16T01:20:04.332", "ingestTimestamp" : "2026-06-14T18:45:40.197", "mongoId" : "6a2cd53874d8ee00a0a3a563", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Credit risk analysis", "IFRS 9 ECL", "ECL model governance", "Macroeconomic overlays", "Risk management", "Credit risk", "Impairment provisioning", "Credit decisioning", "Credit risk measurement", "Fraud risk management", "Product design", "Funding compliance", "Merchant throttling", "Portfolio monitoring", "Risk assessment", "Stakeholder management", "Retail finance products", "BNPL", "Unsecured personal loans", "Retail credit", "Point-of-sale finance", "Product lifecycle", "Risk dynamics", "Product risk", "Impairment", "IFRS 9", "Merchant risk management", "B2B2C risk structures", "Credit performance", "Bloomberg Terminal", "Reuters Eikon", "FactSet" ], "skillCount" : 32, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "_score" : 1054.1948, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c5f4074d8ee00a08ea5e6", "title" : "Vice President, Treasury - Risk, Strategy, & Bank Reporting", "company" : "Nscale", "industry" : "AI Cloud", "salary" : { "min" : 275000.0, "max" : 450000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline compensation for a VP of Treasury in the Technology industry in the US, adjusted for executive seniority and company size." }, "location" : "US", "locations" : [ "US" ], "certifications" : [ "CFA", "CPA", "FRM", "Series 7", "Series 63", "Series 65", "CAIA", "CFP", "ACCA", "ACA" ], "timestamp" : "2026-06-14T19:12:23.551", "fingerprint" : "f3283462582d5f7b8bb9e60b06f3f77a0e28aeff946bd029289dd6da0f953e8b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/nscaleoperationsukltd/jobs/4835975101", "externalId" : "4835975101", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "experienceMinYears" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Executive", "professionalSkills" : [ "Treasury policies", "Governance framework", "Liquidity risk", "Covenant compliance", "Bank reporting", "Treasury reporting", "Treasury controls", "Interest rate risk", "FX risk", "Counterparty risk", "Refinancing risk" ], "hardSkillsList" : [ "Debt agreements", "Compliance mechanics", "Treasury controls", "Liquidity reporting", "Audit committee materials", "Treasury policies" ], "softSkillsList" : [ "Leadership", "Ownership", "Accountability", "Excellence", "Urgency", "Openness", "Transparency", "Innovation" ], "hardSkills" : [ { "name" : "Debt agreements", "level" : "intermediate" }, { "name" : "Compliance mechanics", "level" : "intermediate" }, { "name" : "Treasury controls", "level" : "intermediate" }, { "name" : "Liquidity reporting", "level" : "intermediate" }, { "name" : "Audit committee materials", "level" : "intermediate" }, { "name" : "Treasury policies", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Ownership" }, { "name" : "Accountability" }, { "name" : "Excellence" }, { "name" : "Urgency" }, { "name" : "Openness" }, { "name" : "Transparency" }, { "name" : "Innovation" } ], "coreResponsibilities" : "Own treasury risk and governance framework, Monitor covenant compliance, Manage compliance certificates, Manage bank reporting obligations, Manage treasury policies, Manage related controls, Lead treasury SOX design, Support SOX documentation, Support SOX testing, Enhance treasury controls, Oversee enterprise liquidity reporting, Report key treasury metrics, Coordinate rating agency materials, Coordinate lender materials, Coordinate risk committee materials, Coordinate board materials, Report liquidity, Report leverage, Report covenants, Report market risk, Develop interest rate risk reporting, Develop FX risk reporting, Develop counterparty risk reporting, Develop refinancing risk reporting, Recommend mitigation strategies, Partner with capital markets, Partner with treasury operations, Onboard new facilities, Drive process improvement, Drive automation, Drive data quality", "teamCollaboration" : "Partnership with accounting; Partnership with audit; Partnership with controllership; Partner with capital markets; Partner with treasury operations", "domainKnowledge" : "Banking; Investment management; Trading; Risk; Compliance; Fintech; Accounting; Financial instruments; Regulatory frameworks; Risk methodologies; Quantitative skills; SOX; Basel III/IV; MiFID II; Dodd-Frank; FINRA; SEC; FCA; GDPR; AML/KYC; Equities; Fixed income; Derivatives; Options; Futures; Swaps; FX; Structured products; Private credit; VaR; CVaR; Stress testing; Monte Carlo; Factor models; Credit scoring", "domainList" : [ "banking", "investment-management", "trading", "risk", "compliance", "fintech", "accounting", "financial-instruments", "regulatory-frameworks", "risk-methodologies", "quantitative-skills", "sox", "basel-iii-iv", "mifid-ii", "dodd-frank", "finra", "sec", "fca", "gdpr", "aml-kyc", "equities", "fixed-income", "derivatives", "options", "futures", "swaps", "fx", "structured-products", "private-credit", "var", "cvar", "stress-testing", "monte-carlo", "factor-models", "credit-scoring" ], "domainSpecificKnowledge" : [ "Banking", "Investment management", "Trading", "Risk", "Compliance", "Fintech", "Accounting", "Financial instruments", "Regulatory frameworks", "Risk methodologies", "Quantitative skills", "SOX", "Basel III/IV", "MiFID II", "Dodd-Frank", "FINRA", "SEC", "FCA", "GDPR", "AML/KYC", "Equities", "Fixed income", "Derivatives", "Options", "Futures", "Swaps", "FX", "Structured products", "Private credit", "VaR", "CVaR", "Stress testing", "Monte Carlo", "Factor models", "Credit scoring" ], "toolProficiency" : [ "Bloomberg Terminal", "Reuters Eikon", "FactSet" ], "communicationSkills" : "Senior-level reporting; Board-ready reporting; Lender engagement; Rating agency readiness", "documentationSkills" : "SOX documentation", "problemSolvingSkills" : "Recommend mitigation strategies", "outcomesObjectives" : "No surprises on covenants; No surprises on reporting deadlines; No surprises on control obligations; Leadership receives clear reporting; Leadership receives detailed overviews; Treasury maintains scalable governance", "qualificationsBasic" : "12+ years experience, Understanding of debt agreements, Understanding of compliance mechanics, Understanding of treasury controls, Experience building liquidity reporting, Experience building audit committee materials, Ownership of Treasury policies", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : ". About Nscale Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale enables AI-focused companies to achieve superior results by reducing the complexity of AI development. Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility. We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you’ll build trust through openness and transparency, where everyone is inspired to do their best work. If you join our team, you’ll be contributing to building the technology that powers the future. About the Role (Job Purpose) Nscale is seeking a senior treasury professional to help lead treasury policies, governance, liquidity risk oversight, covenant compliance, bank deliverables, and senior-level treasury reporting. The person in this seat will help institutionalize a best-in-class treasury control environment while also instituting processes to track covenant compliance across various entities and numerous loan agreements, and maintain materials needed for executive decision-making, lender engagement, and rating agency readiness. What You’ll be Doing (Responsibilities) What you will own · Own the company’s treasury risk and governance framework, including covenant monitoring, compliance certificates, bank reporting obligations, treasury policies, and related controls · Lead treasury SOX design, documentation, testing support, and control enhancement in partnership with accounting, audit, and controllership · Oversee enterprise liquidity reporting and key treasury metrics for the Treasurer, CFO, and other senior forums · Coordinate preparation of materials for rating agencies, lenders, risk committees, and boards, including liquidity, leverage, covenant, and market risk reporting · Develop reporting on interest rate, FX, counterparty, and refinancing risk exposures and recommend mitigation strategies · Partner with capital markets and treasury operations to ensure new facilities are onboarded cleanly into ongoing compliance and reporting processes · Drive process improvement, automation, and data quality across treasury reporting What success looks like · No surprises on covenants, reporting deadlines, or control obligations · Leadership receives clear, Board-ready, reporting and detailed overviews of treasury metrics · Treasury maintains a scalable governance architecture that can support larger and more complex financing activity About You (Skills / Qualifications) · 12+ years of experience in corporate treasury, corporate finance, or a closely related field · Strong understanding of debt agreements, compliance mechanics, and treasury controls · Experience building senior-level liquidity reporting, audit committee materials, and ownership of Treasury policies What We Can Offer You At Nscale, you'll find a collaborative, supportive, and innovative environment where your contributions spark real impact. We're building something extraordinary, and we want you at the core. ● Highly competitive package (base + equity) with reviews every 12 months. \uD83D\uDE80 ● Join the fastest-growing tech startup, your chance to push boundaries, collaborate with brilliant minds, and make your mark on cutting-edge AI. ✨ ● Expect a dynamic progression plan tailored to your ambitions. Grow by trying new things, leading, challenging the status quo, and owning your impact, always with our full support. ● Human-First Flexibility: We treat you as humans first. \uD83E\uDEF6\uD83C\uDFFD Our flexible workplace trusts Nscalers to deliver, giving you the autonomy to shape your day around life's moments. ● Join our thriving remote-first team. Geography is no barrier to impact or connection. We build seamless virtual collaboration, empowering you, wherever you work. Interview Process ● Phone screen ● Coding interviews ● Hiring Manager interview Equal Opportunities Statement We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds. If there’s anything we can do to accommodate your specific situation, please let us know. The responsibilities outlined in this job description are not exhaustive and are intended to provide a general overview of the position. The employee may be required to perform additional duties, tasks, and responsibilities as assigned by management, consistent with the skills and qualifications required for the role. For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here.", "summaryDescription" : "Vice President, Treasury - Risk, Strategy, & Bank Reporting at Nscale. Own treasury risk and governance framework. Monitor covenant compliance", "postedDate" : "2026-06-12T22:20:13.585", "createdAt" : "2026-06-12T22:20:13.585", "lastUpdated" : "2026-06-14T19:12:23.551", "ingestTimestamp" : "2026-06-12T22:20:13.585", "mongoId" : "6a2c5f4074d8ee00a08ea5e6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 275000, "salaryAnnualMax" : 450000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Debt agreements", "Compliance mechanics", "Treasury controls", "Liquidity reporting", "Audit committee materials", "Treasury policies", "Leadership", "Ownership", "Accountability", "Excellence", "Urgency", "Openness", "Transparency", "Innovation", "Governance framework", "Liquidity risk", "Covenant compliance", "Bank reporting", "Treasury reporting", "Interest rate risk", "FX risk", "Counterparty risk", "Refinancing risk", "Banking", "Investment management", "Trading", "Risk", "Compliance", "Fintech", "Accounting", "Financial instruments", "Regulatory frameworks", "Risk methodologies", "Quantitative skills", "SOX", "Basel III/IV", "MiFID II", "Dodd-Frank", "FINRA", "SEC", "FCA", "GDPR", "AML/KYC", "Equities", "Fixed income", "Derivatives", "Options", "Futures", "Swaps", "FX", "Structured products", "Private credit", "VaR", "CVaR", "Stress testing", "Monte Carlo", "Factor models", "Credit scoring", "CFA", "CPA", "FRM", "Series 7", "Series 63", "Series 65", "CAIA", "CFP", "ACCA", "ACA", "Bloomberg Terminal", "Reuters Eikon", "FactSet" ], "skillCount" : 71, "jobCategory" : "other", "jobSubcategory" : "treasury", "dataQualityScore" : 0.8888889, "_score" : 1053.9585, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "AI Cloud" }, { "id" : "69d769692beec4dd3dc8ebb0", "title" : "Risk Management Specialist", "company" : "Texas Workforce Commission", "industry" : "Government", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Risk Management Specialist in Austin, TX, adjusted for government industry and full-time employment." }, "location" : "826891", "locations" : [ "826891", "
Austin:1117 Trinity St (320TX-4002)
1117 Trinity St
Austin, 78701-1919

" ], "timestamp" : "2026-06-16T01:05:33.125", "fingerprint" : "2b92c937796b1bfe6b2a279f7cb1b82da3a24a18f4a719ab73fc5e0d438a85dc", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa270.taleo.net/careersection/ex/jobdetail.ftl?job=34538", "externalId" : "34538", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "professionalSkills" : [ "Risk management", "Information security", "Loss control", "Workers' compensation", "Safety programs", "Compliance reviews", "Risk assessments", "Program management" ], "hardSkillsList" : [ "Risk management", "Information security", "Loss control", "Workers' compensation", "Safety programs", "Compliance reviews", "Risk assessments", "Program management" ], "hardSkills" : [ { "name" : "Risk management", "level" : "intermediate" }, { "name" : "Information security", "level" : "intermediate" }, { "name" : "Loss control", "level" : "intermediate" }, { "name" : "Workers' compensation", "level" : "intermediate" }, { "name" : "Safety programs", "level" : "intermediate" }, { "name" : "Compliance reviews", "level" : "intermediate" }, { "name" : "Risk assessments", "level" : "intermediate" }, { "name" : "Program management", "level" : "intermediate" } ], "majorSkills" : "Risk management, Compliance, Insurance", "majorSkillsList" : [ "Risk management", "Compliance", "Insurance" ], "coreResponsibilities" : "Implement agency risk management programs, Conduct risk management, Collaborate in planning initiatives, Develop department statewide initiatives, Implement department statewide initiatives, Conduct compliance reviews, Assist with risk assessments program, Develop risk management program policies, Implement risk management program policies, Review risk management program policies, Assist with department incident reports, Review risk programs for compliance, Conduct on-site inspections, Identify hazards, Identify risk exposures", "domainKnowledge" : "Risk management; Insurance", "domainList" : [ "risk-management", "insurance" ], "domainSpecificKnowledge" : [ "Risk management", "Insurance" ], "problemSolvingSkills" : "Gather facts; Correlate facts; Analyze facts; Devise solutions", "specialRequirements" : "Up to 25% travel", "qualificationsBasic" : "Two years of full-time experience in planning or operation of risk management, information security, loss control, and/or the workers' compensation and safety programs", "qualificationsPreferred" : "State agency experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "WHO WE ARE: Texas Workforce Commission connects people with careers across the state. We're a Family Friendly Certified Workplace with great work-life balance, competitive salaries, extensive opportunities for training and development, and fantastic benefits. This position is located at 1117 Trinity St., Austin, Texas in the Risk and Security Management department. TWC is not considering applications from individuals who require sponsorship for an employment visa, including those with H1B visas or those currently on student or postgraduate visas. You must be a Texas resident to work for the Texas Workforce Commission or willing to relocate to Texas. WHO YOU ARE: You will be a highly motivated professional ready to join the Risk & Security Management Department. You are a self-starting, collaborative problem solver with strong task management and organizational skills who understands the importance of teamwork. WHAT YOU WILL DO: The Risk Management Specialist II performs moderately complex (journey-level) risk management work. Work involves implementing agency risk management programs and conducting risk management. Works under general supervision, with limited latitude for the use of initiative and independent judgment. YOU WILL BE TRUSTED TO: -Collaborate in the planning, developing, and implementing department statewide initiatives. -Conducts compliance reviews for mandatory bulletin boards. -Assists with risk assessments program. -Develop, implement, and review risk management program policies and procedures. -Assist with department incident reports for assessment and risk mitigation. -Review risk programs for compliance with applicable state laws and agency policies. -Conduct on-site inspections of agency facilities to identify hazards and risk exposures. -Perform other duties as assigned. YOU QUALIFY WITH: -Two years of full-time experience in planning or operation of risk management, information security, loss control, and/or the workers' compensation and safety programs. -Relevant academic credits may be applied toward experience qualifications for this position. YOU ARE A GREAT FIT WITH: -Working knowledge of statutes, rules/regulations, standards, guidelines, and best practices involving risk management, compliance and Insurance. -Ability to gather, correlate, and analyze facts, to devise solutions to problems. -Proficiency in developing, evaluating, and interpreting policies and procedures. -Knowledge of program management processes and techniques. -State agency experience. YOU GAIN: - A Family Friendly Certified Workplace. - Competitive salary: $4,833.34/month - Defined Retirement Benefit Plan - Optional 401(k) and 457 accounts - Medical Insurance - Paid time off, including time for vacation, sick and family care leave - Additional benefits for active employees can be found at https://www.ers.texas.gov/Active-Employees/Health-Benefits. Duty involves up to 25% travel within the state of Texas. VETERANS: Use your military skills to qualify for this position or other jobs! Go to www.texasskillstowork.com to translate your military work experience and training courses into civilian job terms, qualifications, and skill sets. Also, you can compare this position to military occupations (MOS) at the Texas State Auditor's Office by pasting this link into your browser: https://hr.sao.texas.gov/Compensation/MilitaryCrosswalk/MOSC_Safety.pdf HOW TO APPLY: To be considered, please complete a State of Texas Application for Employment and apply online at www.workintexas.com or on Taleo ( Job Search ). TWC is not considering applications from individuals who require sponsorship for an employment visa, including those with H1B visas or those currently on student or postgraduate visas In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. A position utilizing this classification will be designated as security sensitive according to the Texas Labor Code, Section 301.042. United States-Texas-Austin", "summaryDescription" : "Risk Management Specialist at Texas Workforce Commission. Skills: Risk management, Compliance, Insurance. Implement agency risk management programs. Conduct risk management", "createdAt" : "2026-06-14T21:16:29.932", "lastUpdated" : "2026-06-16T01:05:33.125", "ingestTimestamp" : "2026-06-14T21:16:29.932", "mongoId" : "69d769692beec4dd3dc8ebb0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Risk management", "Information security", "Loss control", "Workers' compensation", "Safety programs", "Compliance reviews", "Risk assessments", "Program management", "Compliance", "Insurance" ], "skillCount" : 10, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 1037.9626, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6af174d8ee00a090f558", "title" : "Risk Analyst Intern", "company" : "Bybit", "industry" : "FinTech", "salary" : { "min" : 1000000.0, "max" : 2000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Risk Analyst Intern in the FinTech industry, adjusted for remote (non-EU) location and internship seniority." }, "location" : "Remote General (Non-EU)", "locations" : [ "Remote General (Non-EU)" ], "timestamp" : "2026-06-15T03:36:21.674", "fingerprint" : "0296ca3c9b60757be7b7c66c7a63181181330e860ae9306ac8c68da8b6573ddd", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/bybit/jobs/4863876101", "externalId" : "4863876101", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "INTERNSHIP", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "SQL, Python, Excel", "professionalSkills" : [ "Market risk monitoring", "Risk control rules", "Risk reports drafting", "Data analysis", "Competitor research", "Industry trend analysis" ], "hardSkillsList" : [ "Risk analysis", "Data analysis", "Trading analysis" ], "softSkillsList" : [ "Sense of responsibility" ], "hardSkills" : [ { "name" : "Risk analysis", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Trading analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Sense of responsibility" } ], "majorSkills" : "Risk analysis, Market risk, Trading risk", "majorSkillsList" : [ "Risk analysis", "Market risk", "Trading risk" ], "coreResponsibilities" : "Assist in monitoring market risks, Support investigations into market manipulation, Analyze account correlations, Participate in testing risk control rules, Participate in testing risk control models, Assist in drafting risk reports, Collaborate with product teams, Collaborate with technical teams, Facilitate implementation of risk control features, Assist in real-time monitoring of trading activities, Respond to trading risk incidents, Handle trading risk incidents, Support team in data analysis, Support team in competitor research, Support team in industry trend analysis, Produce relevant reports, Produce information summaries", "teamCollaboration" : "Collaborate with product teams; Collaborate with technical teams; Global collaboration", "domainKnowledge" : "Cryptocurrency; Blockchain technology; Trading exchanges", "domainList" : [ "cryptocurrency", "blockchain-technology", "trading-exchanges" ], "domainSpecificKnowledge" : [ "Cryptocurrency", "Blockchain technology", "Trading exchanges" ], "continuousLearning" : "Study Growth Fund; Professional development; Continuous learning", "problemSolvingSkills" : "Logical analysis", "qualificationsBasic" : "Bachelor's degree or higher, Basic understanding of cryptocurrency, Basic understanding of blockchain technology, Basic understanding of trading exchanges, Data sensitivity skills, Logical analysis skills", "qualificationsPreferred" : "Proficiency in SQL, Proficiency in Python, Proficiency in Excel, Pursuing degree in Financial Engineering, Pursuing degree in Computer Science, Pursuing degree in Statistics, Pursuing degree in Mathematics, Pursuing degree in Economics", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. Key Responsibilities: Assist in monitoring market risks, such as price anomalies and sudden changes in trading volume, support investigations into market manipulation behaviors, and analyze account correlations. Participate in testing and iteration of risk control rules and models, assist in drafting risk reports, and collaborate with product and technical teams to facilitate the implementation of risk control features. Assist in real-time monitoring of trading activities, respond to and preliminarily handle trading risk incidents. Support the team in data analysis, competitor research, and industry trend analysis, and produce relevant reports and information summaries. Qualifications: Currently pursuing a Bachelor’s degree or higher, preferably in Financial Engineering, Computer Science, Statistics, Mathematics, Economics, or a related field. Basic understanding of cryptocurrency, blockchain technology, and trading exchanges, with strong data sensitivity and logical analysis skills. Proficiency in at least one data analysis tool (e.g., SQL, Python, Excel) is preferred. Excellent communication skills, team-oriented mindset, strong sense of responsibility, and ability to thrive in a fast-paced work environment. What You Will Gain: Hands-on experience in core risk control operations of a cryptocurrency exchange. Opportunities to work alongside industry experts and receive professional guidance and career development advice. Potential for full-time employment or long-term collaboration based on outstanding performance. Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.", "summaryDescription" : "Risk Analyst Intern at Bybit. Skills: Risk analysis, Market risk, Trading risk. Assist in monitoring market risks. Support investigations into market manipulation", "postedDate" : "2026-06-14T02:57:59.869", "createdAt" : "2026-06-14T02:57:59.869", "lastUpdated" : "2026-06-15T03:36:21.674", "ingestTimestamp" : "2026-06-14T02:57:59.869", "mongoId" : "6a2c6af174d8ee00a090f558", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Risk analysis", "Data analysis", "Trading analysis", "Sense of responsibility", "Market risk", "Trading risk", "Market risk monitoring", "Risk control rules", "Risk reports drafting", "Competitor research", "Industry trend analysis", "Cryptocurrency", "Blockchain technology", "Trading exchanges" ], "skillCount" : 14, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 1036.2625, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "693072a270f0b99d58ffb540", "title" : "FinOps Risk Analyst", "company" : "Amazon Dev Center India", "industry" : "Investigation Loss Prevention, Finance/Planning, finance", "salary" : { "min" : 850000.0, "max" : 1300000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Junior FinOps Risk Analyst in Hyderabad, India, with 1+ years of experience at a large technology company, adjusted for seniority and industry." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-15T03:40:31.134", "fingerprint" : "59234af071e08053ce5ba5c09879bc55636c6f5c596b7ac6753be1d77f048dd4", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3136508/apply", "externalId" : "3f8bb735-d4ad-4269-9106-62e0ab252248", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "state" : "Telangana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, Telangana, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 1, "technicalSkills" : "SQL, Python, R, Excel, AWS", "professionalSkills" : [ "Risk based automations", "Analytical frameworks", "Data analysis", "Process automation" ], "hardSkillsList" : [ "Data pipelining", "Data extraction", "Table joins", "Aggregate analytical functions", "Scripting" ], "softSkillsList" : [ "Attention to detail", "Bias for action", "Interest in analytics" ], "hardSkills" : [ { "name" : "Data pipelining", "level" : "intermediate" }, { "name" : "Data extraction", "level" : "intermediate" }, { "name" : "Table joins", "level" : "intermediate" }, { "name" : "Aggregate analytical functions", "level" : "intermediate" }, { "name" : "Scripting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Attention to detail" }, { "name" : "Bias for action" }, { "name" : "Interest in analytics" } ], "majorSkills" : "Risk based automations, Data analysis, Analytical frameworks", "majorSkillsList" : [ "Risk based automations", "Data analysis", "Analytical frameworks" ], "coreResponsibilities" : "Develop and deploy risk based automations, Build analytical frameworks for internal metrics, Build simple reports, Take up dive-deep requests, Make changes to existing analytical frameworks, Provide adhoc data support to stakeholders, Gather relevant information for review/automation, Identify root cause of reporting/audit/data issues, Draft solutions for resolution, Own design, development, and maintenance of risk automations, Own design, development, and maintenance of internal metrics, Own design, development, and maintenance of reports, Own design, development, and maintenance of analysis, Own design, development, and maintenance of dashboards, Validate data with underlying resources, Understand and automate/enhance existing processes, Learn and develop skillsets in latest technologies, Learn and develop skillsets in analytical techniques, Analyze and propose solutions for problems, Come up with innovative ideas for new risk, Improve existing processes", "teamCollaboration" : "Work closely with stakeholders", "domainKnowledge" : "Risk methodologies; FinOps", "domainList" : [ "risk-methodologies", "finops" ], "domainSpecificKnowledge" : [ "Risk methodologies", "FinOps" ], "toolProficiency" : [ "SQL", "Excel", "Quicksight", "Tableau", "Power BI", "Microsoft Office" ], "continuousLearning" : "Develop skillsets in latest technologies; Develop skillsets in analytical techniques", "problemSolvingSkills" : "Root cause analysis; Data analysis; Propose solutions", "outcomesObjectives" : "Drive accuracy, precision and completeness", "qualificationsBasic" : "1 year of data analytics or automation experience, Bachelor's degree in Engineering in Computer Science, Knowledge of data pipelining and extraction using SQL, Knowledge of SQL and Excel at a moderate or advanced level, Knowledge of SQL/Python/R, scripting, MS Excel, table joins, and aggregate analytical functions, Bachelor's degree in accounting and commerce (B. Com), Knowledge of Excel at an advanced level, Experience with Microsoft Office products and applications", "qualificationsPreferred" : "Experience in Python, C++, Java, Linux and AWS Services, Experience scripting in Python or Javascript", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The candidate would be responsible for developing and deploying risk based automations including building analytical frameworks for FORGE internal metrics. The selected candidate would also be required to build simple reports, take up dive-deep requests, make changes to existing analytical frameworks and provide adhoc data support to FinOps stakeholders. The person should have a good understanding of the business requirement , gather the relevant information needed for the review and /or automation and the ability to quickly get to the root cause of a particular reporting/ audit review or data issue. Based on the dive deep research, the candidate should be able to draft solutions for resolution. The ideal candidate would be high on attention to detail, bias for action and interest in analytics/BI and risk-based automations. Some of the key areas include but not limited to: - Own the design, development, and maintenance of ongoing risk based automations, internal metrics, reports, analysis, dashboards, etc. of FORGE to drive accuracy, precision and completeness by validating data with underlying resources - Work closely with stakeholders (internal/external, if needed) to understand and automate/ enhance existing processes - Should be open to learn and develop skillsets in the latest technologies and analytical techniques - Should understand how data/analytical frameworks are built and the ability to analyze and propose the solutions that works best for different category of problems and - Should be able to come up with innovative ideas for new risk based automations based on the dive-deep or process overviews that the business would provide to improve existing processes Basic qualifications - 1 year of data analytics or automation experience - Bachelor's degree in Engineering in Computer Science or equivalent - Knowledge of data pipelining and extraction using SQL - Knowledge of SQL and Excel at a moderate or advanced level - Knowledge of SQL/Python/R, scripting, MS Excel, table joins, and aggregate analytical functions - Expertise with visualization tools such as Quicksight, Tableau or Power BI Preferred qualifications - Experience in Python, C++, Java, Linux and AWS Services Basic Qualifications: - Bachelor's degree in accounting and commerce (B. Com) - Knowledge of Excel at an advanced level - Experience with Microsoft Office products and applications Preferred Qualifications: - Experience scripting in Python or Javascript Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "FinOps Risk Analyst at Amazon Dev Center India. Skills: Risk based automations, Data analysis, Analytical frameworks. Develop and deploy risk based automations. Build analytical frameworks for internal metrics", "postedDate" : "2026-06-13T03:16:46.100", "createdAt" : "2026-06-13T03:16:46.100", "lastUpdated" : "2026-06-15T03:40:31.134", "ingestTimestamp" : "2026-06-13T03:16:46.100", "mongoId" : "693072a270f0b99d58ffb540", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3136508/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data pipelining", "Data extraction", "Table joins", "Aggregate analytical functions", "Scripting", "Attention to detail", "Bias for action", "Interest in analytics", "Risk based automations", "Data analysis", "Analytical frameworks", "Process automation", "Risk methodologies", "FinOps", "SQL", "Excel", "Quicksight", "Tableau", "Power BI", "Microsoft Office" ], "skillCount" : 20, "jobCategory" : "marketing", "dataQualityScore" : 0.8888889, "_score" : 1035.3822, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services" }, { "id" : "6a16291b58b93c861e959d70", "title" : "Risk/Quality Manager", "company" : "HDR", "salary" : { "min" : 300000.0, "max" : 500000.0, "currency" : "SAR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Risk/Quality Manager in Riyadh, Saudi Arabia, adjusted for industry and company size." }, "location" : "Saudi Arabia-Riyadh City", "locations" : [ "Saudi Arabia-Riyadh City" ], "certifications" : [ "Applicable quality certification" ], "timestamp" : "2026-06-16T06:18:54.334", "fingerprint" : "2fd7f308e7cc04df8b2f656a7ccc2fc8267d2a7dc7bb1a99fc88c8370d144d7f", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=766289", "externalId" : "766289", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Riyadh", "country" : "Saudi Arabia", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "24.6389160,46.7160104" } ], "locationText" : "Riyadh, Saudi Arabia", "employmentType" : "FULL_TIME", "experienceMinYears" : 6, "experienceLevel" : "Manager", "technicalSkills" : "MS Office, PowerBI, SharePoint", "professionalSkills" : [ "Staff communication", "Investigative interviewing" ], "majorSkills" : "Quality management, Risk management", "majorSkillsList" : [ "Quality management", "Risk management" ], "coreResponsibilities" : "Manage quality processes, Oversee risk mitigation, Ensure compliance with standards, Communicate with staff, Engage employees, Conduct interviews, Document findings", "teamCollaboration" : "Collaborative culture", "domainKnowledge" : "QMS fundamentals", "domainList" : [ "qms-fundamentals" ], "domainSpecificKnowledge" : [ "QMS fundamentals" ], "toolProficiency" : [ "MS Office", "PowerBI", "SharePoint" ], "communicationSkills" : "Verbal communication; Written communication", "qualificationsBasic" : "Professional degree or equivalent experience, 6 years industry experience, 3 years in related quality fields, Applicable quality certification or ability to obtain, Deep understanding of QMS fundamentals", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Required Qualifications Professional degree required or equivalent years of experience. A minimum of 6 years industry experience with a minimum of 3 years in related quality fields. Applicable quality certification (or ability to obtain) A deep understanding of QMS fundamentals. Proven skills in the areas of staff communication and engagement. Strong verbal and written communication with investigative interview experience. Strong familiarity with full suite of MS Office ; PowerBI , SharePoint , and collaborative comment/review applications. What We Believe HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees. Saudi Arabia-Riyadh City", "summaryDescription" : "Risk/Quality Manager at HDR. Skills: Quality management, Risk management. Manage quality processes. Oversee risk mitigation", "createdAt" : "2026-06-14T19:49:37.851", "lastUpdated" : "2026-06-16T06:18:54.334", "ingestTimestamp" : "2026-06-14T19:49:37.851", "mongoId" : "6a16291b58b93c861e959d70", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Quality management", "Risk management", "Staff communication", "Investigative interviewing", "QMS fundamentals", "Applicable quality certification", "MS Office", "PowerBI", "SharePoint" ], "skillCount" : 9, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 1034.7863, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.92 } ], "status" : 200, "message" : "OK", "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 52701, "totalPages" : 1055, "hasNext" : true, "hasPrevious" : false } }

Risk Data Aggregation Risk Reporting Associate Milano Ots Jobs in New York

Risk & Fund Reporting Manager

Risk Data Scientist

Sr Risk Associate

Sr Risk Associate, Risk and Compliance Solutions

Senior Data Scientist, Risk

Senior Data Scientist, Risk

Sr. Consumer Risk Associate

Senior Data Scientist, Risk

Risk Reporting Senior Manager

Risk Manager

Risk Analyst, Buyer Risk Prevention

Risk Manager

Associate Risk Engineer (Underwriter), Executive Risks

Associate Vice President, Credit Risk

Risk Analyst

Head Of Risk

Director, Treasury - Risk, Strategy, & Bank Reporting

Senior Risk Manager

Risk Manager

Consultant- Data Aggregation(336)

Risk Analyst

Data Scientist (Risk)

Risk & Due Diligence Mgr, Risk and Resiliency

Senior Tech & Data Risk Manager

Risk Assessor

Risk Specialist

Head of Risk

Operations Data & Reporting Associate

Risk Data Scientist | Risk Management

Risk & Due Diligence Mgr, Risk and Resiliency

Model Risk Specialist

Risk Analyst II

Risk Manager II

Treasury Risk Associate Director

Senior Risk & Compliance Manager, Transportation Risk & Compliance

Risk Advisor

Risk Director

Sr. Risk Manager, Risk Ops & Resilience

Risk Control Expert

Sr. Risk Manager, Transportation, Risk, and Compliance

Sr. Risk Manager, Transportation, Risk, and Compliance

Site Risk & Due Diligence Manager, Risk and Resiliency

Risk & Fraud Analyst

Risk Intelligence Lead

BNPL Risk Lead

Vice President, Treasury - Risk, Strategy, & Bank Reporting

Risk Management Specialist

Risk Analyst Intern

FinOps Risk Analyst

Risk/Quality Manager

Common Questions