{ "count" : 109982, "data" : [ { "id" : "68b706987fc9a711f0f6fdd7", "title" : "Sr. Security Engineer III, Threat Intelligence, Buyer Risk Prevention, Payment Risk team", "company" : "Amazon.com LLC", "industry" : "Systems, Quality, Security Engineering, Systems Security Engineering, selling partner services", "salary" : { "min" : 143300.0, "max" : 247600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T03:10:24.885", "fingerprint" : "033efdeaf841fa25c8705cf9d95627cb8faa3c67fe88f5df25f0791e30f8f63a", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3053072/apply", "externalId" : "8ebe0fc5-2f50-4f82-ba06-e6569234f036", "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", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, SQL, ML, AI", "professionalSkills" : [ "Threat intelligence", "Fraud detection", "Risk evaluation", "Abuse prevention", "Network analysis", "System design", "Architecture decisions", "ML performance", "Investigation workflows", "Proactive defense", "Forensic data science", "Applied security" ], "hardSkillsList" : [ "Data structures", "Access patterns", "Detection signals", "ML models", "Risk scoring", "Threat actor TTPs", "Model manipulation", "Signal verification", "Synthetic identity", "Collusion", "Criminal network disruption", "Adversary signals", "Infrastructure analysis", "AI/ML detection techniques", "GNNs", "Anomaly detection" ], "hardSkills" : [ { "name" : "Data structures", "level" : "intermediate" }, { "name" : "Access patterns", "level" : "intermediate" }, { "name" : "Detection signals", "level" : "intermediate" }, { "name" : "ML models", "level" : "intermediate" }, { "name" : "Risk scoring", "level" : "intermediate" }, { "name" : "Threat actor TTPs", "level" : "intermediate" }, { "name" : "Model manipulation", "level" : "intermediate" }, { "name" : "Signal verification", "level" : "intermediate" }, { "name" : "Synthetic identity", "level" : "intermediate" }, { "name" : "Collusion", "level" : "intermediate" }, { "name" : "Criminal network disruption", "level" : "intermediate" }, { "name" : "Adversary signals", "level" : "intermediate" }, { "name" : "Infrastructure analysis", "level" : "intermediate" }, { "name" : "AI/ML detection techniques", "level" : "intermediate" }, { "name" : "GNNs", "level" : "intermediate" }, { "name" : "Anomaly detection", "level" : "intermediate" } ], "majorSkills" : "Threat intelligence, Fraud detection, Security architecture, ML/AI", "majorSkillsList" : [ "Threat intelligence", "Fraud detection", "Security architecture", "ML/AI" ], "coreResponsibilities" : "Identify sophisticated fraud syndicates, Disrupt sophisticated fraud syndicates, Drive upstream risk evaluation initiatives, Drive bad actor network analysis initiatives, Drive coordinated abuse prevention initiatives, Protect Amazon's global payment ecosystem, Protect Amazon's marketplace ecosystem, Lead fraud detection systems design, Lead fraud detection systems implementation, Lead abuse detection systems design, Lead abuse detection systems implementation, Architect security solutions, Drive cross-functional initiatives, Establish frameworks, Protect customers, Enable business growth, Maintain customer experience, Lead threat prevention, Lead continuous risk evaluation, Design upstream risk evaluation strategies, Implement upstream risk evaluation strategies, Evaluate payment instruments, Evaluate wallet additions, Assess businesses, Assess stores, Identify bad actor syndicates, Disrupt bad actor syndicates, Gather dark web intelligence, Analyze dark web intelligence, Consolidate detection models, Improve ML performance, Design automated systems, Ingest identified risks, Action identified risks, Establish investigation workflows, Establish evidence collection processes, Build intelligence sharing mechanisms, Drive proactive defense strategies, Architect security solutions that scale", "teamCollaboration" : "Partner with leadership; Collaborate with SDEs; Collaborate with Data Scientists; Partner teams; Technical teams; Non-technical teams", "projectManagementSkills" : [ "Organizational planning", "Resourcing" ], "domainKnowledge" : "Payment risk; Buyer risk prevention; Threat intelligence; Fraud syndicates; Upstream risk evaluation; Bad actor networks; Abuse prevention; Payment instruments; Wallet additions; Dark web; Identity surfaces; Payment surfaces; Law enforcement referrals; Threat actor TTPs; AI/ML systems; Synthetic identity; Collusion; Criminal networks; Infrastructure analysis", "domainList" : [ "payment-risk", "buyer-risk-prevention", "threat-intelligence", "fraud-syndicates", "upstream-risk-evaluation", "bad-actor-networks", "abuse-prevention", "payment-instruments", "wallet-additions", "dark-web", "identity-surfaces", "payment-surfaces", "law-enforcement-referrals", "threat-actor-ttps", "ai-ml-systems", "synthetic-identity", "collusion", "criminal-networks", "infrastructure-analysis" ], "domainSpecificKnowledge" : [ "Payment risk", "Buyer risk prevention", "Threat intelligence", "Fraud syndicates", "Upstream risk evaluation", "Bad actor networks", "Abuse prevention", "Payment instruments", "Wallet additions", "Dark web", "Identity surfaces", "Payment surfaces", "Law enforcement referrals", "Threat actor TTPs", "AI/ML systems", "Synthetic identity", "Collusion", "Criminal networks", "Infrastructure analysis" ], "communicationSkills" : "Executive briefings; Risk deep-dives; Law enforcement referrals; COEs; PRFAQs", "documentationSkills" : "Documentation; PRFAQs; COEs; Law enforcement referrals; Risk deep-dives; Executive briefings; Strategy documents", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; False positive/negative balancing; Signal verification", "outcomesObjectives" : "Deliver scalable security outcomes; Measurable business impact", "qualificationsBasic" : "8+ years fraud detection, 8+ years forensic data science, 8+ years applied security roles, Proven security design experience, Proven architecture decisions experience, Python programming proficiency, SQL programming proficiency, Familiarity with ML / AI, Deep understanding data structures, Deep understanding access patterns, Deep understanding detection signal sources, Experience collaborating with SDEs, Experience collaborating with Data Scientists, Design ML-powered detection systems, Deploy ML-powered detection systems, Optimize ML-powered detection systems, Design risk scoring systems, Deploy risk scoring systems, Optimize risk scoring systems, Navigate ambiguity, Make long-term tradeoffs, Deliver scalable security outcomes, Communication skills, Documentation skills, Write PRFAQs, Write COEs, Write law enforcement referrals, Write risk deep-dives, Write executive briefings, Experience handling incident escalations, Design SOPs, Implement operational pipelines, Familiarity with security considerations AI/ML, Familiarity with model manipulation, Familiarity with false positive/negative balancing, Familiarity with signal verification, Lead without authority, Drive alignment across teams, Influence decision-making", "qualificationsPreferred" : "Experience with large-scale fraud detection systems, Experience with ML/AI models, Experience with synthetic identity models, Experience with collusion models, Experience with criminal network disruption models, Knowledge on threat intelligence, Gather adversary signals, Interpret adversary signals, Dark web monitoring, Infrastructure analysis, Familiarity building AI/ML detection techniques, Familiarity evaluating AI/ML detection techniques, Experience writing strategy documents, Participate in OP1/OP2, Shape organizational planning, Shape resourcing, Background managing law enforcement escalation, Background managing cross-functional investigation workflows, Experience shaping security organizational structures, Experience shaping hiring strategies", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Buyer Abuse Prevention, are seeking an experienced Threat Intelligence Security Engineer to partner with Amazon's Payment Risk threat intelligence team (VIPER) in identifying and disrupting sophisticated fraud syndicates. You will drive critical initiatives across upstream risk evaluation, bad actor network analysis, and coordinated abuse prevention to protect Amazon's global payment and marketplace ecosystem. As the Threat Intelligence SecEng with VIPER you will lead the design and implementation of end-to-end fraud and abuse detection systems, architect security solutions, drive cross-functional initiatives, and establish frameworks that protect our customers while enabling business growth and maintaining customer experience. Key job responsibilities As a key member of VIPER, you will lead our north star goal in threat prevention and continuous risk evaluation, partnering with leadership to design and implement upstream risk evaluation strategies, including: - Continuous evaluation systems for payment instruments and wallet additions - Proactive/reactive risk assessments of businesses and stores - Bad actor syndicate identification and disruption - Dark web intelligence gathering and analysis - Cross-functional initiatives to consolidate detection models and improve ML performance across identity and payment surfaces - Design automated systems for ingesting and actioning identified risks from partner teams (SPI, Transaction Trust) - Establish investigation workflows and evidence collection processes for law enforcement referrals - Build privacy-preserving intelligence sharing mechanisms - Drive proactive defense strategies based on emerging threat actor TTPs - Architect security solutions that scale across Amazon's global marketplace Basic Qualifications: - • 8+ years of experience in fraud detection, forensic data science, or applied security roles in large-scale technical environments. - • Proven experience owning security design and architecture decisions for complex systems. - • Strong programming proficiency in Python, SQL, and familiarity with ML / AI. - • Deep understanding of data structures, access patterns, and detection signal sources across Amazon’s trust, account, and payment systems. - • Experience collaborating with Software Development Engineers and Data Scientists to design, deploy, and optimize ML-powered detection or risk scoring systems. - • Demonstrated ability to navigate ambiguity, make long-term tradeoffs, and deliver scalable security outcomes with measurable business impact. - • Strong communication and documentation skills — able to write PRFAQs, COEs, law enforcement referrals, risk deep-dives, and executive briefings. - • Experience handling incident escalations, designing SOPs, and implementing operational pipelines for investigations or enforcement. - • Familiarity with security considerations in AI/ML systems, including model manipulation, false positive/negative balancing, and signal verification. - • Proven ability to lead without authority, drive alignment across technical and non-technical teams, and influence decision-making in partner organizations. Preferred Qualifications: - • Experience with large-scale fraud detection systems and ML/AI models, especially those focused on synthetic identity, collusion, or criminal network disruption. - • Knowledge on threat intelligence (gather and interpret adversary signals), including dark web monitoring, and infrastructure analysis. - • Familiarity with building or evaluating AI/ML-based detection techniques (e.g., GNNs, anomaly detection). - • Experience writing strategy documents, participating in OP1/OP2, and helping shape organizational planning or resourcing. - • Background in managing law enforcement escalation processes and cross-functional investigation workflows. - • Experience contributing to or shaping security organizational structures and hiring strategies. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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 $143,300/year in our lowest geographic market up to $247,600/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. Security Engineer III, Threat Intelligence, Buyer Risk Prevention, Payment Risk team at Amazon.com LLC. Skills: Threat intelligence, Fraud detection, Security architecture, ML/AI. Identify sophisticated fraud syndicates. Disrupt sophisticated fraud syndicates", "postedDate" : "2026-06-13T06:31:21.254", "createdAt" : "2026-06-13T06:31:21.254", "lastUpdated" : "2026-06-15T03:10:24.885", "ingestTimestamp" : "2026-06-13T06:31:21.254", "mongoId" : "68b706987fc9a711f0f6fdd7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3053072/apply", "salaryAnnualMin" : 143300, "salaryAnnualMax" : 247600, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data structures", "Access patterns", "Detection signals", "ML models", "Risk scoring", "Threat actor TTPs", "Model manipulation", "Signal verification", "Synthetic identity", "Collusion", "Criminal network disruption", "Adversary signals", "Infrastructure analysis", "AI/ML detection techniques", "GNNs", "Anomaly detection", "Threat intelligence", "Fraud detection", "Security architecture", "ML/AI", "Risk evaluation", "Abuse prevention", "Network analysis", "System design", "Architecture decisions", "ML performance", "Investigation workflows", "Proactive defense", "Forensic data science", "Applied security", "Organizational planning", "Resourcing", "Payment risk", "Buyer risk prevention", "Fraud syndicates", "Upstream risk evaluation", "Bad actor networks", "Payment instruments", "Wallet additions", "Dark web", "Identity surfaces", "Payment surfaces", "Law enforcement referrals", "AI/ML systems", "Criminal networks" ], "skillCount" : 45, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "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, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "eCommerce" }, { "id" : "6a21770374d8ee00a0c1b8c1", "title" : "Applied Scientist II, Buyer Risk Prevention (BRP)", "company" : "ADCI - BLR 14 SEZ", "industry" : "Applied Science, Retail", "salary" : { "min" : 2200000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Applied Scientist II in E-commerce in Bengaluru, India, adjusted for mid-seniority and company size." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-15T08:25:19.725", "fingerprint" : "b86667bdcbecccebc40242ba626dfbaddd6aa8bfa85a190a99bc738df1e6f008", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10435796/apply", "externalId" : "1518fbcf-b22e-46b2-9bb6-0d1588674f8f", "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" : "Master's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python, Java, C++, Machine Learning, Generative AI, LLMs", "professionalSkills" : [ "Risk management", "Model development", "Data analysis", "Algorithm development", "Fraud detection", "Risk prevention" ], "hardSkillsList" : [ "Statistical techniques", "Algorithmic systems", "Data modeling", "Risk insights" ], "hardSkills" : [ { "name" : "Statistical techniques", "level" : "intermediate" }, { "name" : "Algorithmic systems", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Risk insights", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, Risk Management, Fraud Detection", "majorSkillsList" : [ "Machine Learning", "Risk Management", "Fraud Detection" ], "coreResponsibilities" : "Own end-to-end development of machine learning models, Analyze data to identify fraud patterns, Analyze data for emerging risk trends, Design innovative models, Develop innovative models, Validate innovative models, Deploy innovative models, Apply GenAI/LLM technologies, Automate risk evaluation, Improve operational efficiency, Collaborate with software engineering teams, Implement scalable, real-time model solutions, Partner with operations stakeholders, Partner with business stakeholders, Translate risk insights into impact, Establish scalable processes, Establish automated processes for data analysis, Establish automated processes for model experimentation, Establish automated processes for model validation, Establish automated processes for model monitoring, Track model performance, Communicate insights clearly", "teamCollaboration" : "Collaborating in a diverse team; Collaborate with software engineering teams; Partner with operations stakeholders; Partner with business stakeholders", "domainKnowledge" : "Buyer Risk Prevention; Fraud detection; Risk prevention systems; eCommerce fraud; Risk management systems", "domainList" : [ "buyer-risk-prevention", "fraud-detection", "risk-prevention-systems", "ecommerce-fraud", "risk-management-systems" ], "domainSpecificKnowledge" : [ "Buyer Risk Prevention", "Fraud detection", "Risk prevention systems", "eCommerce fraud", "Risk management systems" ], "communicationSkills" : "Communicate insights clearly", "innovationCreativity" : "Building state-of-the-art algorithms; Leverage emerging technologies; Innovative models", "problemSolvingSkills" : "Solve complex, real-world fraud challenges; Solve complex, real-world risk challenges", "outcomesObjectives" : "Protect Amazon customers; Enable trusted eCommerce experience; Safeguard millions of transactions; Enhance fraud detection; Improve risk prevention systems; Translate risk insights into measurable impact", "qualificationsBasic" : "3+ years building models, Master's degree and 4+ years experience, Experience in patents or publications, Experience programming in Java, C++, Python, Experience in algorithms and data structures, Experience in parsing, Experience in numerical optimization, Experience in data mining, Experience in parallel and distributed computing, Experience in high-performance computing", "qualificationsPreferred" : "Experience in software development, Experience in delivery", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Do you want to join an innovative team of scientists applying machine learning and advanced statistical techniques to protect Amazon customers and enable a trusted eCommerce experience? Are you excited about modeling terabytes of data and building state-of-the-art algorithms to solve complex, real-world fraud and risk challenges? Do you enjoy owning end-to-end machine learning problems, directly influencing customer experience and company profitability, while collaborating in a diverse, high-performing team? If so, the Amazon Buyer Risk Prevention (BRP) Machine Learning team may be the right fit for you. We are seeking an Applied Scientist to design, develop, and deploy advanced algorithmic systems that safeguard millions of transactions every day. In this role, you will independently drive model development from problem formulation to production deployment, build scalable ML solutions, and leverage emerging technologies—including Generative AI and LLMs—to enhance fraud detection and next-generation risk prevention systems. Key job responsibilities Own end-to-end development of machine learning models for large-scale risk management systems Analyze large volumes of historical and real-time data to identify fraud patterns and emerging risk trends Design, develop, validate, and deploy innovative models to production environments Apply GenAI/LLM technologies to automate risk evaluation and improve operational efficiency Collaborate closely with software engineering teams to implement scalable, real-time model solutions Partner with operations and business stakeholders to translate risk insights into measurable impact Establish scalable and automated processes for data analysis, model experimentation, validation, and monitoring Track model performance and business metrics; communicate insights clearly to technical and non-technical stakeholders Research and implement novel machine learning and statistical methodologies Basic Qualifications: - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications: - Experience in software development and delivery 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" : "Applied Scientist II, Buyer Risk Prevention (BRP) at ADCI - BLR 14 SEZ. Skills: Machine Learning, Risk Management, Fraud Detection. Own end-to-end development of machine learning models. Analyze data to identify fraud patterns", "postedDate" : "2026-06-14T01:34:37.532", "createdAt" : "2026-06-14T01:34:37.532", "lastUpdated" : "2026-06-15T08:25:19.725", "ingestTimestamp" : "2026-06-14T01:34:37.532", "mongoId" : "6a21770374d8ee00a0c1b8c1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10435796/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical techniques", "Algorithmic systems", "Data modeling", "Risk insights", "Machine Learning", "Risk Management", "Fraud Detection", "Risk management", "Model development", "Data analysis", "Algorithm development", "Fraud detection", "Risk prevention", "Buyer Risk Prevention", "Risk prevention systems", "eCommerce fraud", "Risk management systems" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "6a21770374d8ee00a0c1b8c2", "title" : "Applied Scientist, Buyer Risk Prevention (BRP)", "company" : "ADCI", "industry" : "Applied Science, Retail", "salary" : { "min" : 2200000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an E-Commerce Applied Scientist in Bengaluru, India, adjusted for mid-seniority and full-time employment." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-15T02:37:39.652", "fingerprint" : "0fe47107756ac17c1cdf3231fd2659b2381d740d1ebc1de2898575987f292425", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10435795/apply", "externalId" : "c9d2a0f3-04eb-46f2-b877-90392585ed3f", "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" : "Master's", "technicalSkills" : "Java, C++, Python, SQL, RDBMS, Data Warehouse, Generative AI, LLM", "professionalSkills" : [ "Risk management", "Machine learning", "Statistical techniques", "Data analysis", "Model development", "Risk policies", "Operational efficiency" ], "hardSkillsList" : [ "Algorithm development", "Model validation", "Data pipeline automation", "Model training", "Performance monitoring" ], "hardSkills" : [ { "name" : "Algorithm development", "level" : "intermediate" }, { "name" : "Model validation", "level" : "intermediate" }, { "name" : "Data pipeline automation", "level" : "intermediate" }, { "name" : "Model training", "level" : "intermediate" }, { "name" : "Performance monitoring", "level" : "intermediate" } ], "majorSkills" : "Machine learning, Risk prevention, Data science, Generative AI", "majorSkillsList" : [ "Machine learning", "Risk prevention", "Data science", "Generative AI" ], "coreResponsibilities" : "Apply machine learning and statistical techniques, Build risk management models, Improve risk management models, Analyze large-scale historical data, Identify risk patterns, Identify emerging trends, Develop innovative models, Validate innovative models, Deploy innovative models, Experiment with emerging technologies, Enhance automation, Enhance risk evaluation, Implement models in real-time production systems, Improve risk policies, Improve operational efficiency, Build scalable pipelines, Build automated pipelines, Monitor model performance, Provide clear reporting, Research new modeling approaches, Prototype new modeling approaches", "teamCollaboration" : "Partner with senior scientists; Partner with engineers; Collaborate with software engineers; Partner with operations teams; Partner with business teams", "domainKnowledge" : "Buyer risk prevention; eCommerce fraud; Risk challenges", "domainList" : [ "buyer-risk-prevention", "ecommerce-fraud", "risk-challenges" ], "domainSpecificKnowledge" : [ "Buyer risk prevention", "eCommerce fraud", "Risk challenges" ], "communicationSkills" : "Clear reporting", "innovationCreativity" : "Prototype development", "problemSolvingSkills" : "Translate business problems; Data-driven solutions", "outcomesObjectives" : "Safeguard millions of transactions", "qualificationsBasic" : "Experience programming in Java, C++, Python, Experience with SQL, Master's degree in Engineering, Computer Science, Machine Learning, Operations Research, Statistics, or related fields, Experience building machine learning models or developing algorithms for business application", "qualificationsPreferred" : "Experience implementing algorithms using both toolkits and self-developed code, Publications at top-tier peer-reviewed conferences or journals", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Do you want to join an innovative team applying machine learning and advanced statistical techniques to protect Amazon customers and enable a trusted eCommerce experience? Are you excited about working with large-scale datasets and developing models that solve real-world fraud and risk challenges? If so, the Amazon Buyer Risk Prevention (BRP) Machine Learning team may be the right fit for you. We are seeking an Applied Scientist to help develop scalable machine learning solutions that safeguard millions of transactions every day. In this role, you will partner with senior scientists and engineers to translate business problems into data-driven solutions, build and evaluate models, and contribute to next-generation risk prevention systems, including applications of Generative AI and LLM technologies. Key job responsibilities Apply machine learning and statistical techniques to build and improve risk management models Analyze large-scale historical data to identify risk patterns and emerging trends Develop, validate, and deploy innovative models under the guidance of senior scientists Experiment with emerging technologies, including GenAI/LLMs, to enhance automation and risk evaluation Collaborate closely with software engineers to implement models in real-time production systems Partner with operations and business teams to improve risk policies and operational efficiency Build scalable, automated pipelines for data analysis, model training, and validation Monitor model performance and provide clear reporting on key risk and business metrics Research and prototype new modeling approaches to improve system performance Basic Qualifications: - Experience programming in Java, C++, Python or related language - Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse - Master's degree in Engineering, Computer Science, Machine Learning, Operations Research, Statistics, or related fields - Experience building machine learning models or developing algorithms for business application Preferred Qualifications: - Experience implementing algorithms using both toolkits and self-developed code - Have publications at top-tier peer-reviewed conferences or journals 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" : "Applied Scientist, Buyer Risk Prevention (BRP) at ADCI. Skills: Machine learning, Risk prevention, Data science, Generative AI. Apply machine learning and statistical techniques. Build risk management models", "postedDate" : "2026-06-13T09:44:33.178", "createdAt" : "2026-06-13T09:44:33.178", "lastUpdated" : "2026-06-15T02:37:39.652", "ingestTimestamp" : "2026-06-13T09:44:33.178", "mongoId" : "6a21770374d8ee00a0c1b8c2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10435795/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Algorithm development", "Model validation", "Data pipeline automation", "Model training", "Performance monitoring", "Machine learning", "Risk prevention", "Data science", "Generative AI", "Risk management", "Statistical techniques", "Data analysis", "Model development", "Risk policies", "Operational efficiency", "Buyer risk prevention", "eCommerce fraud", "Risk challenges" ], "skillCount" : 18, "jobCategory" : "other", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a305b76f292fd229cf5e05a", "title" : "Associate Director, Information Security Risk", "company" : "EQT Group", "industry" : "FinTech", "salary" : { "min" : 360000.0, "max" : 540000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Associate Director, Information Security Risk in Financial Services in Warsaw, Poland, adjusted for Director seniority and full-time employment." }, "location" : "Warszawa, Masovian Voivodeship, Poland", "locations" : [ "Warszawa", "Masovian Voivodeship", "Poland" ], "certifications" : [ "CISM", "CRISC", "CISSP" ], "timestamp" : "2026-06-16T08:55:33.446", "fingerprint" : "1002902146dbbaeebab6c88f26f44d9b30e387829be17cdefc2b9427c735de83", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/eqtpartners/jobs/4897327101", "externalId" : "4897327101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Warszawa", "state" : "Masovian Voivodeship", "country" : "Poland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.2333742,21.0711489" } ], "locationText" : "Warszawa, Masovian Voivodeship, Poland", "experienceMinYears" : 10, "experienceLevel" : "Director", "technicalSkills" : "DORA, NIS2, ISO 27001, NIST", "professionalSkills" : [ "Risk assessment", "Control design", "Governance design", "Incident response", "Vendor risk management", "Policy development", "Standards development", "Procedure development" ], "hardSkillsList" : [ "Information security risk", "Cybersecurity governance", "Technology risk", "Security controls", "Risk reporting", "Vendor security requirements", "Cyber incident response", "Board reporting", "Risk appetite dashboards" ], "softSkillsList" : [ "Intellectual rigour", "Constructive challenge" ], "hardSkills" : [ { "name" : "Information security risk", "level" : "intermediate" }, { "name" : "Cybersecurity governance", "level" : "intermediate" }, { "name" : "Technology risk", "level" : "intermediate" }, { "name" : "Security controls", "level" : "intermediate" }, { "name" : "Risk reporting", "level" : "intermediate" }, { "name" : "Vendor security requirements", "level" : "intermediate" }, { "name" : "Cyber incident response", "level" : "intermediate" }, { "name" : "Board reporting", "level" : "intermediate" }, { "name" : "Risk appetite dashboards", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Intellectual rigour" }, { "name" : "Constructive challenge" } ], "majorSkills" : "Information security risk, Cybersecurity governance, Technology risk, Regulatory frameworks", "majorSkillsList" : [ "Information security risk", "Cybersecurity governance", "Technology risk", "Regulatory frameworks" ], "coreResponsibilities" : "Translate cybersecurity risk, Translate technology risk, Design security controls, Implement security controls, Draft information security policies, Maintain information security policies, Enforce information security policies, Lead regulatory framework implementation, Monitor emerging obligations, Oversee vendor risk reviews, Define vendor security requirements, Track remediation of gaps, Coordinate incident response, Ensure governance obligations met, Lead post-incident reviews, Produce board-ready reporting, Produce risk appetite dashboards, Produce briefing materials", "teamCollaboration" : "Across global footprint; With CISO function; With governance forums; With Technology teams; With senior management; With governance committees", "domainKnowledge" : "Financial services environment; Cross-border regulatory dynamics; Cybersecurity technologies; Cybersecurity architectures; Cybersecurity solutions; Digital tools; Workflow automation; Data governance obligations", "domainList" : [ "financial-services-environment", "cross-border-regulatory-dynamics", "cybersecurity-technologies", "cybersecurity-architectures", "cybersecurity-solutions", "digital-tools", "workflow-automation", "data-governance-obligations" ], "domainSpecificKnowledge" : [ "Financial services environment", "Cross-border regulatory dynamics", "Cybersecurity technologies", "Cybersecurity architectures", "Cybersecurity solutions", "Digital tools", "Workflow automation", "Data governance obligations" ], "toolProficiency" : [ "Bloomberg Terminal", "Reuters Eikon", "FactSet" ], "communicationSkills" : "Board-level reporting; Senior audience communication", "continuousLearning" : "Continuous professional development", "problemSolvingSkills" : "Risk reduction; Risk mitigation", "qualificationsBasic" : "10 years information security risk, 10 years cybersecurity governance, 10 years technology risk, Build security risk frameworks, Operate security risk frameworks, Implement regulatory frameworks, Lead third-party vendor risk assessments, Solid background incident response, Advise technology teams, Credibly challenge technology teams, Distil technical topics, Distil risk topics", "qualificationsPreferred" : "CISM, CRISC, CISSP, Experience international team, Experience matrix organisation, Familiarity digital tools, Familiarity workflow automation, Exposure data governance obligations, Contribute board reporting, Contribute senior governance reporting", "rawDescription" : "EQT is looking for an Associate Director, Information Security Risk to serve as the firm's subject matter expert on information security risk — translating complex cybersecurity and technology risk into clear governance frameworks and actionable business outcomes. This is a senior individual contributor role sitting within the CISO function, reporting directly to the CISO, and operating across a global, regulated financial services environment. About the Team Risk, Regulatory, Compliance identify, assess and track security risks across the firm and escalate material issues to the CISO and relevant governance forums. Design and implement pragmatic, proportionate security controls that balance risk reduction with business agility. Draft, maintain and enforce information security policies, standards and procedures aligned to regulatory requirements and industry best practice. Lead implementation of applicable regulatory frameworks across EQT's global footprint (including DORA, NIS2, ISO 27001 and NIST) and monitor the horizon for emerging obligations. Oversee the information security component of third-party vendor risk reviews, including critical outsourcing assessments; define vendor security requirements and track remediation of identified gaps. Play a central role in EQT's cyber incident response capability — coordinating response activities, ensuring governance obligations are met, and leading post-incident reviews. Produce high-quality, board-ready reporting, risk appetite dashboards and briefing materials for senior management and governance committees. About You You are a seasoned information security risk professional with a commercial mindset and a talent for making complex risk topics accessible to senior audiences. You build trust across functions naturally, hold your ground on risk positions constructively, and bring genuine intellectual rigour to governance and control design. What you'll bring (must-have): Around 10 years of experience in information security risk, cybersecurity governance, or technology risk within asset management, private equity, banking or financial services. Proven track record building and operating security risk and control frameworks in a regulated financial services environment. Hands-on experience implementing regulatory frameworks such as DORA, NIS2, ISO 27001 or NIST, with solid understanding of cross-border regulatory dynamics. Demonstrated experience leading third-party vendor risk assessments, including outsourcing and critical supplier reviews. Solid background in incident response, from operational coordination through to governance reporting and lessons learned. Deep working knowledge of cybersecurity technologies, architectures and solutions, sufficient to advise and credibly challenge Technology teams. Strong communication skills with the ability to distil complex technical and risk topics into concise, impactful materials for senior and board-level audiences. Nice to have: Relevant professional qualifications such as CISM, CRISC or CISSP. Experience working within an international team or matrix organisation. Familiarity with digital tools and workflow automation that enhance team efficiency and risk reporting. Exposure to data governance obligations and their intersection with information security risk. Prior experience contributing to board or senior governance committee reporting in a financial services context. What We Offer At EQT, you will join a global firm that operates at the intersection of technology, finance and impact. You will have direct access to senior leadership, meaningful scope to shape how information security risk is governed at a complex, internationally active firm, and the opportunity to work alongside colleagues who hold themselves and each other to a high standard. EQT supports continuous professional development and values diverse perspectives as a driver of better outcomes. Compensation We understand and believe that being a great place to work drives the best performance.At EQT, inclusion is a business imperative and it's embedded into our talent strategy, decision-making, and culture to ensure that every individual and team operates at their full potential. By doing so, we unlock better collaboration, stronger innovation, and superior investment outcomes. About EQT EQT is a purpose-driven global investment organization focused on active ownership strategies. With a Nordic heritage and a global mindset, EQT has a track record of over three decades of developing companies across multiple geographies, sectors and strategies. EQT has investment strategies covering all phases of a business’ development, from start-up to maturity. EQT has EUR ‌270 billion in total assets under management (EUR ‌‌141 billion in fee-generating assets under management), within two business segments – Private Capital and Real Assets. With its roots in the Wallenberg family’s entrepreneurial mindset and philosophy of long-term ownership, EQT is guided by a set of strong values and a distinct corporate culture. EQT manages and advises funds and vehicles that invest across the world with the mission to future-proof companies, generate attractive returns and make a positive impact with everything EQT does. EQT has offices in more than 25 countries across Europe, Asia and the Americas and has more than 1,900 employees. More info: www.eqtgroup.com Follow EQT on LinkedIn, X, YouTube and Instagram", "summaryDescription" : "Associate Director, Information Security Risk at EQT Group. Skills: Information security risk, Cybersecurity governance, Technology risk, Regulatory frameworks. Translate cybersecurity risk. Translate technology risk", "postedDate" : "2026-06-15T23:24:48.348", "createdAt" : "2026-06-15T23:24:48.348", "lastUpdated" : "2026-06-16T08:55:33.446", "ingestTimestamp" : "2026-06-15T23:24:48.348", "mongoId" : "6a305b76f292fd229cf5e05a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Information security risk", "Cybersecurity governance", "Technology risk", "Security controls", "Risk reporting", "Vendor security requirements", "Cyber incident response", "Board reporting", "Risk appetite dashboards", "Intellectual rigour", "Constructive challenge", "Regulatory frameworks", "Risk assessment", "Control design", "Governance design", "Incident response", "Vendor risk management", "Policy development", "Standards development", "Procedure development", "Financial services environment", "Cross-border regulatory dynamics", "Cybersecurity technologies", "Cybersecurity architectures", "Cybersecurity solutions", "Digital tools", "Workflow automation", "Data governance obligations", "CISM", "CRISC", "CISSP", "Bloomberg Terminal", "Reuters Eikon", "FactSet" ], "skillCount" : 34, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305b76f292fd229cf5e059", "title" : "Associate Director, Information Security Risk", "company" : "EQT Group", "industry" : "FinTech", "salary" : { "min" : 360000.0, "max" : 540000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for an Associate Director, Information Security Risk in Financial Services in Warsaw, Poland, adjusted for director-level seniority and full-time employment." }, "location" : "Warszawa, Masovian Voivodeship, Poland", "locations" : [ "Warszawa", "Masovian Voivodeship", "Poland" ], "certifications" : [ "CISM", "CRISC", "CISSP" ], "timestamp" : "2026-06-16T08:06:33.159", "fingerprint" : "952a1d4d8a31c3e333437b382c388dfa4b1e6fbad80af07de3bcbf4abb568f95", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/eqtpartners/jobs/4897613101", "externalId" : "4897613101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Warszawa", "state" : "Masovian Voivodeship", "country" : "Poland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.2333742,21.0711489" } ], "locationText" : "Warszawa, Masovian Voivodeship, Poland", "experienceMinYears" : 10, "experienceLevel" : "Director", "technicalSkills" : "DORA, NIS2, ISO 27001, NIST", "professionalSkills" : [ "Risk assessment", "Control design", "Governance design" ], "hardSkillsList" : [ "Information security risk", "Cybersecurity governance", "Technology risk", "Security controls", "Vendor risk assessments", "Incident response", "Cybersecurity technologies", "Cybersecurity architectures", "Cybersecurity solutions" ], "hardSkills" : [ { "name" : "Information security risk", "level" : "intermediate" }, { "name" : "Cybersecurity governance", "level" : "intermediate" }, { "name" : "Technology risk", "level" : "intermediate" }, { "name" : "Security controls", "level" : "intermediate" }, { "name" : "Vendor risk assessments", "level" : "intermediate" }, { "name" : "Incident response", "level" : "intermediate" }, { "name" : "Cybersecurity technologies", "level" : "intermediate" }, { "name" : "Cybersecurity architectures", "level" : "intermediate" }, { "name" : "Cybersecurity solutions", "level" : "intermediate" } ], "majorSkills" : "Information security risk, Cybersecurity governance, Regulatory frameworks", "majorSkillsList" : [ "Information security risk", "Cybersecurity governance", "Regulatory frameworks" ], "coreResponsibilities" : "Identify security risks, Assess security risks, Track security risks, Escalate material issues, Design security controls, Implement security controls, Draft information security policies, Maintain information security policies, Enforce information security policies, Lead implementation regulatory frameworks, Monitor emerging obligations, Oversee information security component, Define vendor security requirements, Track remediation identified gaps, Coordinate response activities, Ensure governance obligations met, Lead post-incident reviews, Produce board-ready reporting, Produce risk appetite dashboards, Produce briefing materials", "teamCollaboration" : "Across global footprint; Across functions; With CISO; With governance forums; With Technology teams", "domainKnowledge" : "Regulated financial services; Cross-border regulatory dynamics; Third-party vendor risk; Critical outsourcing; Cyber incident response; Information security policies; Security risk frameworks; Technology risk; Asset management; Private equity; Banking; Financial services", "domainList" : [ "regulated-financial-services", "cross-border-regulatory-dynamics", "third-party-vendor-risk", "critical-outsourcing", "cyber-incident-response", "information-security-policies", "security-risk-frameworks", "technology-risk", "asset-management", "private-equity", "banking", "financial-services" ], "domainSpecificKnowledge" : [ "Regulated financial services", "Cross-border regulatory dynamics", "Third-party vendor risk", "Critical outsourcing", "Cyber incident response", "Information security policies", "Security risk frameworks", "Technology risk", "Asset management", "Private equity", "Banking", "Financial services" ], "communicationSkills" : "Board-ready reporting; Risk appetite dashboards; Briefing materials; Senior audiences; Board-level audiences", "qualificationsBasic" : "10 years information security risk, 10 years cybersecurity governance, 10 years technology risk, Build security risk frameworks, Operate security risk frameworks, Implement regulatory frameworks, Lead third-party vendor risk assessments, Solid background incident response, Advise technology teams, Credibly challenge technology teams, Distil technical topics, Distil risk topics", "qualificationsPreferred" : "CISM, CRISC, CISSP, Experience international team, Experience matrix organisation, Familiarity digital tools, Familiarity workflow automation, Exposure data governance obligations, Contribute board reporting, Contribute senior governance reporting", "rawDescription" : "EQT is looking for an Associate Director, Information Security Risk to serve as the firm's subject matter expert on information security risk — translating complex cybersecurity and technology risk into clear governance frameworks and actionable business outcomes. This is a senior individual contributor role sitting within the CISO function, reporting directly to the CISO, and operating across a global, regulated financial services environment. About the Team Risk, Regulatory, Compliance identify, assess and track security risks across the firm and escalate material issues to the CISO and relevant governance forums. Design and implement pragmatic, proportionate security controls that balance risk reduction with business agility. Draft, maintain and enforce information security policies, standards and procedures aligned to regulatory requirements and industry best practice. Lead implementation of applicable regulatory frameworks across EQT's global footprint (including DORA, NIS2, ISO 27001 and NIST) and monitor the horizon for emerging obligations. Oversee the information security component of third-party vendor risk reviews, including critical outsourcing assessments; define vendor security requirements and track remediation of identified gaps. Play a central role in EQT's cyber incident response capability — coordinating response activities, ensuring governance obligations are met, and leading post-incident reviews. Produce high-quality, board-ready reporting, risk appetite dashboards and briefing materials for senior management and governance committees. About You You are a seasoned information security risk professional with a commercial mindset and a talent for making complex risk topics accessible to senior audiences. You build trust across functions naturally, hold your ground on risk positions constructively, and bring genuine intellectual rigour to governance and control design. What you'll bring (must-have): Around 10 years of experience in information security risk, cybersecurity governance, or technology risk within asset management, private equity, banking or financial services. Proven track record building and operating security risk and control frameworks in a regulated financial services environment. Hands-on experience implementing regulatory frameworks such as DORA, NIS2, ISO 27001 or NIST, with solid understanding of cross-border regulatory dynamics. Demonstrated experience leading third-party vendor risk assessments, including outsourcing and critical supplier reviews. Solid background in incident response, from operational coordination through to governance reporting and lessons learned. Deep working knowledge of cybersecurity technologies, architectures and solutions, sufficient to advise and credibly challenge Technology teams. Strong communication skills with the ability to distil complex technical and risk topics into concise, impactful materials for senior and board-level audiences. Nice to have: Relevant professional qualifications such as CISM, CRISC or CISSP. Experience working within an international team or matrix organisation. Familiarity with digital tools and workflow automation that enhance team efficiency and risk reporting. Exposure to data governance obligations and their intersection with information security risk. Prior experience contributing to board or senior governance committee reporting in a financial services context. What We Offer At EQT, you will join a global firm that operates at the intersection of technology, finance and impact. You will have direct access to senior leadership, meaningful scope to shape how information security risk is governed at a complex, internationally active firm, and the opportunity to work alongside colleagues who hold themselves and each other to a high standard. EQT supports continuous professional development and values diverse perspectives as a driver of better outcomes. Compensation We understand and believe that being a great place to work drives the best performance.At EQT, inclusion is a business imperative and it's embedded into our talent strategy, decision-making, and culture to ensure that every individual and team operates at their full potential. By doing so, we unlock better collaboration, stronger innovation, and superior investment outcomes. About EQT EQT is a purpose-driven global investment organization focused on active ownership strategies. With a Nordic heritage and a global mindset, EQT has a track record of over three decades of developing companies across multiple geographies, sectors and strategies. EQT has investment strategies covering all phases of a business’ development, from start-up to maturity. EQT has EUR ‌270 billion in total assets under management (EUR ‌‌141 billion in fee-generating assets under management), within two business segments – Private Capital and Real Assets. With its roots in the Wallenberg family’s entrepreneurial mindset and philosophy of long-term ownership, EQT is guided by a set of strong values and a distinct corporate culture. EQT manages and advises funds and vehicles that invest across the world with the mission to future-proof companies, generate attractive returns and make a positive impact with everything EQT does. EQT has offices in more than 25 countries across Europe, Asia and the Americas and has more than 1,900 employees. More info: www.eqtgroup.com Follow EQT on LinkedIn, X, YouTube and Instagram", "summaryDescription" : "Associate Director, Information Security Risk at EQT Group. Skills: Information security risk, Cybersecurity governance, Regulatory frameworks. Identify security risks. Assess security risks", "postedDate" : "2026-06-15T23:23:26.048", "createdAt" : "2026-06-15T23:23:26.048", "lastUpdated" : "2026-06-16T08:06:33.159", "ingestTimestamp" : "2026-06-15T23:23:26.048", "mongoId" : "6a305b76f292fd229cf5e059", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Information security risk", "Cybersecurity governance", "Technology risk", "Security controls", "Vendor risk assessments", "Incident response", "Cybersecurity technologies", "Cybersecurity architectures", "Cybersecurity solutions", "Regulatory frameworks", "Risk assessment", "Control design", "Governance design", "Regulated financial services", "Cross-border regulatory dynamics", "Third-party vendor risk", "Critical outsourcing", "Cyber incident response", "Information security policies", "Security risk frameworks", "Asset management", "Private equity", "Banking", "Financial services", "CISM", "CRISC", "CISSP" ], "skillCount" : 27, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.98 }, { "id" : "6a21770374d8ee00a0c1b8c7", "title" : "Senior Applied Scientist, Buyer Risk Prevention (BRP)", "company" : "ADCI", "industry" : "Applied Science, Retail", "salary" : { "min" : 2750000.0, "max" : 4500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for E-commerce in Bengaluru, India, adjusted for Senior Applied Scientist role and full-time employment." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-15T02:15:51.845", "fingerprint" : "4c87156d1a087211c0d07ca79d62815b6fd93b73dedf2fd883d780e92fc98eab", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10435790/apply", "externalId" : "f6a84408-772e-409f-b399-daf14f5b9117", "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" : "Master's", "experienceMinYears" : 3, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Java, C++, Python, Neural deep learning, Machine learning, R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, Hadoop, Spark, Generative AI, LLMs", "professionalSkills" : [ "Risk management", "Fraud detection", "Scientific innovation", "ML system design", "Model validation", "Lifecycle management" ], "hardSkillsList" : [ "Applied research", "Deep learning", "Machine learning", "Risk modeling", "Fraud modeling", "Real-time production", "Experimentation", "Model monitoring" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Applied research", "level" : "intermediate" }, { "name" : "Deep learning", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Risk modeling", "level" : "intermediate" }, { "name" : "Fraud modeling", "level" : "intermediate" }, { "name" : "Real-time production", "level" : "intermediate" }, { "name" : "Experimentation", "level" : "intermediate" }, { "name" : "Model monitoring", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Machine learning, Risk prevention, Generative AI", "majorSkillsList" : [ "Machine learning", "Risk prevention", "Generative AI" ], "coreResponsibilities" : "Lead scientific strategy for fraud and risk modeling, Define problem statements, Define success metrics, Define long-term modeling roadmaps, Design machine learning systems, Develop machine learning systems, Deploy machine learning systems, Drive innovation using ML, Automate risk evaluation, Transform risk evaluation, Influence system architecture, Partner with engineering teams, Establish best practices for experimentation, Establish best practices for model validation, Establish best practices for monitoring, Establish best practices for lifecycle management, Mentor junior scientists, Raise technical bar, Communicate scientific insights, Identify emerging scientific trends, Translate trends into solutions", "teamCollaboration" : "Cross-team technical strategy; Partner with engineering teams; Senior leadership; Cross-functional stakeholders", "domainKnowledge" : "Buyer Risk Prevention; Fraud detection; Risk management; Generative AI; LLMs", "domainList" : [ "buyer-risk-prevention", "fraud-detection", "risk-management", "generative-ai", "llms" ], "domainSpecificKnowledge" : [ "Buyer Risk Prevention", "Fraud detection", "Risk management", "Generative AI", "LLMs" ], "toolProficiency" : [ "scikit-learn", "Spark MLLib", "MxNet", "Tensorflow", "Hadoop", "Spark" ], "communicationSkills" : "Communicate complex insights", "innovationCreativity" : "Scientific innovation; Emerging technologies", "problemSolvingSkills" : "Solve ambiguous challenges", "outcomesObjectives" : "Protect millions of customers; Power trusted eCommerce experience; Drive step-change improvements; Safeguard millions of transactions; Build next-generation platforms", "qualificationsBasic" : "3+ years building ML models, Master's degree and 5+ years applied research, Programming in Java, C++, Python, Experience with neural deep learning methods, Experience with machine learning", "qualificationsPreferred" : "Modeling tools experience, Large scale distributed systems experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Do you want to lead the development of advanced machine learning systems that protect millions of customers and power a trusted global eCommerce experience? Are you passionate about modeling terabytes of data, solving highly ambiguous fraud and risk challenges, and driving step-change improvements through scientific innovation? If so, the Amazon Buyer Risk Prevention (BRP) Machine Learning team may be the right place for you. We are seeking a Senior Applied Scientist to define and drive the scientific direction of large-scale risk management systems that safeguard millions of transactions every day. In this role, you will lead the design and deployment of advanced machine learning solutions, influence cross-team technical strategy, and leverage emerging technologies—including Generative AI and LLMs—to build next-generation risk prevention platforms. Key job responsibilities Lead the end-to-end scientific strategy for large-scale fraud and risk modeling initiatives Define problem statements, success metrics, and long-term modeling roadmaps in partnership with business and engineering leaders Design, develop, and deploy highly scalable machine learning systems in real-time production environments Drive innovation using advanced ML, deep learning, and GenAI/LLM technologies to automate and transform risk evaluation Influence system architecture and partner with engineering teams to ensure robust, scalable implementations Establish best practices for experimentation, model validation, monitoring, and lifecycle management Mentor and raise the technical bar for junior scientists through reviews, technical guidance, and thought leadership Communicate complex scientific insights clearly to senior leadership and cross-functional stakeholders Identify emerging scientific trends and translate them into impactful production solutions Basic Qualifications: - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 5+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Preferred Qualifications: - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark 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" : "Senior Applied Scientist, Buyer Risk Prevention (BRP) at ADCI. Skills: Machine learning, Risk prevention, Generative AI. Lead scientific strategy for fraud and risk modeling. Define problem statements", "postedDate" : "2026-06-13T10:46:30.881", "createdAt" : "2026-06-13T10:46:30.881", "lastUpdated" : "2026-06-15T02:15:51.845", "ingestTimestamp" : "2026-06-13T10:46:30.881", "mongoId" : "6a21770374d8ee00a0c1b8c7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10435790/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Applied research", "Deep learning", "Machine learning", "Risk modeling", "Fraud modeling", "Real-time production", "Experimentation", "Model monitoring", "Leadership", "Mentoring", "Risk prevention", "Generative AI", "Risk management", "Fraud detection", "Scientific innovation", "ML system design", "Model validation", "Lifecycle management", "Buyer Risk Prevention", "LLMs", "scikit-learn", "Spark MLLib", "MxNet", "Tensorflow", "Hadoop", "Spark" ], "skillCount" : 26, "jobCategory" : "other", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "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, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a21770374d8ee00a0c1b8c4", "title" : "Applied Scientist II, Buyer Risk Prevention (BRP)", "company" : "ADCI", "industry" : "Applied Science, Retail", "salary" : { "min" : 2200000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Applied Scientist II in E-commerce in Bengaluru, India, adjusted for mid-seniority and full-time employment." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-15T02:37:20.066", "fingerprint" : "e30437678f1fe3c578b61d5e41786ea40af1666ad774afe2fc6a6b8f2f71881a", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10435793/apply", "externalId" : "95b2a21a-1236-4bb2-a63c-8df29317736b", "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" : "Master's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Java, C++, Python, Generative AI, LLMs", "professionalSkills" : [ "Risk management", "Fraud detection", "Model development" ], "hardSkillsList" : [ "Machine learning", "Statistical techniques", "Algorithmic systems", "Data analysis", "Model validation", "Risk evaluation", "Model monitoring" ], "hardSkills" : [ { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Statistical techniques", "level" : "intermediate" }, { "name" : "Algorithmic systems", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Model validation", "level" : "intermediate" }, { "name" : "Risk evaluation", "level" : "intermediate" }, { "name" : "Model monitoring", "level" : "intermediate" } ], "majorSkills" : "Machine learning, Risk prevention, Fraud detection", "majorSkillsList" : [ "Machine learning", "Risk prevention", "Fraud detection" ], "coreResponsibilities" : "Own end-to-end development of machine learning models, Analyze large volumes of data, Identify fraud patterns, Identify emerging risk trends, Design innovative models, Develop innovative models, Validate innovative models, Deploy innovative models, Apply GenAI/LLM technologies, Automate risk evaluation, Improve operational efficiency, Implement scalable, real-time model solutions, Translate risk insights into impact, Establish scalable processes, Establish automated processes for data analysis, Establish automated processes for model experimentation, Establish automated processes for model validation, Establish automated processes for model monitoring, Track model performance, Communicate insights clearly, Research novel methodologies, Implement novel methodologies", "teamCollaboration" : "Collaborating in a team; Collaborate with software engineering teams; Partner with operations stakeholders; Partner with business stakeholders", "domainKnowledge" : "Buyer Risk Prevention; eCommerce fraud; Risk management systems", "domainList" : [ "buyer-risk-prevention", "ecommerce-fraud", "risk-management-systems" ], "domainSpecificKnowledge" : [ "Buyer Risk Prevention", "eCommerce fraud", "Risk management systems" ], "communicationSkills" : "Communicate insights clearly", "innovationCreativity" : "Innovative models; Emerging technologies; Generative AI; LLMs", "problemSolvingSkills" : "Solve complex challenges", "outcomesObjectives" : "Protect Amazon customers; Enable trusted eCommerce experience; Safeguard millions of transactions; Enhance fraud detection; Improve risk prevention systems; Achieve measurable impact", "qualificationsBasic" : "3+ years building models, Master's degree and 4+ years experience, Experience programming in Java, C++, Python, Experience in algorithms and data structures, Experience in parsing, Experience in numerical optimization, Experience in data mining, Experience in parallel and distributed computing, Experience in high-performance computing", "qualificationsPreferred" : "PhD preferred, Experience in software development", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Do you want to join an innovative team of scientists applying machine learning and advanced statistical techniques to protect Amazon customers and enable a trusted eCommerce experience? Are you excited about modeling terabytes of data and building state-of-the-art algorithms to solve complex, real-world fraud and risk challenges? Do you enjoy owning end-to-end machine learning problems, directly influencing customer experience and company profitability, while collaborating in a diverse, high-performing team? If so, the Amazon Buyer Risk Prevention (BRP) Machine Learning team may be the right fit for you. We are seeking an Applied Scientist to design, develop, and deploy advanced algorithmic systems that safeguard millions of transactions every day. In this role, you will independently drive model development from problem formulation to production deployment, build scalable ML solutions, and leverage emerging technologies—including Generative AI and LLMs—to enhance fraud detection and next-generation risk prevention systems. Key job responsibilities Own end-to-end development of machine learning models for large-scale risk management systems Analyze large volumes of historical and real-time data to identify fraud patterns and emerging risk trends Design, develop, validate, and deploy innovative models to production environments Apply GenAI/LLM technologies to automate risk evaluation and improve operational efficiency Collaborate closely with software engineering teams to implement scalable, real-time model solutions Partner with operations and business stakeholders to translate risk insights into measurable impact Establish scalable and automated processes for data analysis, model experimentation, validation, and monitoring Track model performance and business metrics; communicate insights clearly to technical and non-technical stakeholders Research and implement novel machine learning and statistical methodologies Basic Qualifications: - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications: - Experience in software development 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" : "Applied Scientist II, Buyer Risk Prevention (BRP) at ADCI. Skills: Machine learning, Risk prevention, Fraud detection. Own end-to-end development of machine learning models. 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Collaborate closely with software engineering teams; Partner with operations and business stakeholders", "domainKnowledge" : "Buyer Risk Prevention; eCommerce fraud; Risk management systems", "domainList" : [ "buyer-risk-prevention", "ecommerce-fraud", "risk-management-systems" ], "domainSpecificKnowledge" : [ "Buyer Risk Prevention", "eCommerce fraud", "Risk management systems" ], "communicationSkills" : "Communicate insights clearly", "innovationCreativity" : "Innovative team; Innovative models; Emerging technologies; Next-generation risk prevention systems", "problemSolvingSkills" : "Solve complex, real-world fraud and risk challenges", "outcomesObjectives" : "Protect Amazon customers; Enable a trusted eCommerce experience; Safeguard millions of transactions every day; Enhance fraud detection; Improve operational efficiency; Translate risk insights into measurable impact", "qualificationsBasic" : "3+ years of building models, Master's degree and 4+ years of CS, CE, ML or related field experience, Experience in patents or publications, Experience programming in Java, C++, Python or related language, Experience in algorithms and data structures, Experience in parsing, Experience in numerical optimization, Experience in data mining, Experience in parallel and distributed computing, Experience in high-performance computing", "qualificationsPreferred" : "PhD preferred, Experience in professional modelling/software development", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Do you want to join an innovative team of scientists applying machine learning and advanced statistical techniques to protect Amazon customers and enable a trusted eCommerce experience? 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Key job responsibilities Own end-to-end development of machine learning models for large-scale risk management systems Analyze large volumes of historical and real-time data to identify fraud patterns and emerging risk trends Design, develop, validate, and deploy innovative models to production environments Apply GenAI/LLM technologies to automate risk evaluation and improve operational efficiency Collaborate closely with software engineering teams to implement scalable, real-time model solutions Partner with operations and business stakeholders to translate risk insights into measurable impact Establish scalable and automated processes for data analysis, model experimentation, validation, and monitoring Track model performance and business metrics; communicate insights clearly to technical and non-technical stakeholders Research and implement novel machine learning and statistical methodologies Basic Qualifications: - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications: - Experience in professional modelling/software development 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" : "Applied Scientist II, Buyer Risk Prevention (BRP) at ADCI - BLR 14 SEZ. Skills: Machine learning, Risk prevention, Fraud detection. Own end-to-end development of machine learning models. 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Partner with engineering teams; Senior leadership; Cross-functional stakeholders", "domainKnowledge" : "Buyer Risk Prevention; Fraud and risk; Risk management systems; Generative AI; LLMs", "domainList" : [ "buyer-risk-prevention", "fraud-and-risk", "risk-management-systems", "generative-ai", "llms" ], "domainSpecificKnowledge" : [ "Buyer Risk Prevention", "Fraud and risk", "Risk management systems", "Generative AI", "LLMs" ], "toolProficiency" : [ "scikit-learn", "Spark MLLib", "Tensorflow", "numpy", "scipy", "Hadoop", "Spark" ], "communicationSkills" : "Communicate insights", "innovationCreativity" : "Scientific innovation; Drive innovation", "problemSolvingSkills" : "Solve ambiguous challenges", "outcomesObjectives" : "Protect millions of customers; Power trusted eCommerce experience; Drive step-change improvements; Safeguard millions of transactions; Build next-generation platforms", "qualificationsBasic" : "3+ years building ML models, Master's degree and 6+ years applied research, PhD, Experience programming in Java, Experience programming in C++, Experience programming in Python, Experience with neural deep learning, Experience with machine learning", "qualificationsPreferred" : "Experience with modeling tools, Experience with large scale distributed systems", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Do you want to lead the development of advanced machine learning systems that protect millions of customers and power a trusted global eCommerce experience? Are you passionate about modeling terabytes of data, solving highly ambiguous fraud and risk challenges, and driving step-change improvements through scientific innovation? If so, the Amazon Buyer Risk Prevention (BRP) Machine Learning team may be the right place for you. We are seeking a Senior Applied Scientist to define and drive the scientific direction of large-scale risk management systems that safeguard millions of transactions every day. In this role, you will lead the design and deployment of advanced machine learning solutions, influence cross-team technical strategy, and leverage emerging technologies—including Generative AI and LLMs—to build next-generation risk prevention platforms. Key job responsibilities Lead the end-to-end scientific strategy for large-scale fraud and risk modeling initiatives Define problem statements, success metrics, and long-term modeling roadmaps in partnership with business and engineering leaders Design, develop, and deploy highly scalable machine learning systems in real-time production environments Drive innovation using advanced ML, deep learning, and GenAI/LLM technologies to automate and transform risk evaluation Influence system architecture and partner with engineering teams to ensure robust, scalable implementations Establish best practices for experimentation, model validation, monitoring, and lifecycle management Mentor and raise the technical bar for junior scientists through reviews, technical guidance, and thought leadership Communicate complex scientific insights clearly to senior leadership and cross-functional stakeholders Identify emerging scientific trends and translate them into impactful production solutions Basic Qualifications: - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Preferred Qualifications: - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark 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" : "Senior Applied Scientist, Buyer Risk Prevention (BRP) at ADCI. Skills: Machine learning, Risk prevention, Generative AI, LLMs. Lead scientific strategy. Define problem statements", "postedDate" : "2026-06-13T05:40:16.522", "createdAt" : "2026-06-13T05:40:16.522", "lastUpdated" : "2026-06-15T01:25:54.700", "ingestTimestamp" : "2026-06-13T05:40:16.522", "mongoId" : "69fda4e64c40e2acd1b99b0d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10412240/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Modeling", "Risk evaluation", "Experimentation", "Model validation", "Model monitoring", "Model lifecycle management", "Leadership", "Mentoring", "Machine learning", "Risk prevention", "Generative AI", "LLMs", "Risk management", "Fraud detection", "Machine learning systems", "Buyer Risk Prevention", "Fraud and risk", "Risk management systems", "scikit-learn", "Spark MLLib", "Tensorflow", "numpy", "scipy", "Hadoop", "Spark" ], "skillCount" : 25, "jobCategory" : "data", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a308ef6f292fd229c0a6e5c", "title" : "Risk Analyst", "company" : "Xplor", "industry" : "Computer Software", "salary" : { "min" : 57500.0, "max" : 86500.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Risk Analyst in Bulgaria, adjusted for the FinTech industry and remote work." }, "location" : "Atlanta, GA, United States", "locations" : [ "Atlanta", "GA", "United States" ], "timestamp" : "2026-06-16T12:41:47.095", "fingerprint" : "55c8a416d4d547ab759531004e7de9b11d01b541e7da546526c56fd97513441a", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Xplor/744000132215679-risk-analyst-remote", "externalId" : "744000132215679", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "professionalSkills" : [ "Risk management" ], "hardSkillsList" : [ "Financial analysis", "Fraud detection" ], "hardSkills" : [ { "name" : "Financial analysis", "level" : "intermediate" }, { "name" : "Fraud detection", "level" : "intermediate" } ], "majorSkills" : "Risk analysis, Merchant monitoring", "majorSkillsList" : [ "Risk analysis", "Merchant monitoring" ], "coreResponsibilities" : "Monitor merchant processing activity, Investigate suspicious merchant activity, Evaluate processing activity patterns, Research internal and external sources, Review system generated reporting, Review department generated reporting, Analyze merchant account alerts, Identify suspicious transactions, Identify processing issues, Mitigate company losses, Collaborate with cross-functional teams, Design risk mitigation strategies, Communicate risk mitigation strategies, Implement risk mitigation strategies, Monitor emerging trends, Monitor threats in payments industry, Adapt risk assessment methodologies, Read business documents, Interpret business documents, Read financial documents, Interpret financial documents, Analyze trends, Detect potential fraud, Assess risk, Conduct verbal communication with merchants, Conduct written communication with merchants, Conduct verbal communication with issuing banks, Conduct written communication with issuing banks, Handle escalated issues, Gather information, Manage actions to resolve risk concerns, Develop Standard Operating Procedures, Maintain Standard Operating Procedures, Develop efficient processes, Maintain efficient processes, Perform related duties", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Merchant processing; Payments industry; Card holder issues", "domainList" : [ "merchant-processing", "payments-industry", "card-holder-issues" ], "domainSpecificKnowledge" : [ "Merchant processing", "Payments industry", "Card holder issues" ], "toolProficiency" : [ "Bloomberg Terminal", "Reuters Eikon", "FactSet" ], "communicationSkills" : "Verbal communication; Written communication", "documentationSkills" : "Standard Operating Procedures", "problemSolvingSkills" : "Process improvements", "qualificationsBasic" : "Three years related experience", "qualificationsPreferred" : "Bachelor’s degree in relevant field, Previous risk experience", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "At Xplor, we believe that helping people make the most of each day is the most rewarding way to spend ours. We give small and medium-sized businesses cloud-based, intuitive technology solutions that enable them to manage all the hassles of running and growing a business, so business owners can get back to doing what they love. With Xplor Pay, we help businesses get paid quickly and securely – without hidden fees. We built the tech ourselves, and our platform delivers secure, transparent, fast, and accurate payments. We are unified by our purpose of helping people to succeed. So, when you become part of our team, you also become part of the personal connection that strengthens the relationship people have with Xplor products. Join our XplorPay vertical as a Risk Analyst to make a real impact every day. We say that because we know that every conversation we have, every code line we write and every interface we design is another opportunity for us to enrich our customers’ experiences. Reporting into the Director of Risk, you will help us with the daily monitoring of merchant processing activity, as well as, conducting investigations of suspicious merchant activity that may be related to merchant(s) processing outside of or not as approved parameters. Analyst is responsible for evaluating patterns in merchant processing activity and researching against internal and external information sources that help in evaluating and identifying potentially suspicious merchant or card holder issues. Review system and department generated reporting that support in identifying potential processing issues to help mitigate potential company losses. Analyst will be responsible for answering incoming and making outgoing calls to customer base in a professional courteous manner; log and notate customer interaction; follow-up on customer inquiries and research; review faxed and emailed request and inquiries; read and interpret business and financial documents; ability to multi-task, handle escalated calls and negotiate a resolution; recommend process improvements and work on special projects. Some of the other responsibilities include: * Analyze merchant account activity alerts generated by automated monitoring systems in order to identify suspicious transaction or processing issues * Review system and department generated reporting that support in identifying potential processing issues to help mitigate potential company losses * Collaborate with cross-functional teams to design, communicate, and implement risk mitigation strategies, ensuring compliance with industry standards and regulations * Monitor emerging trends and threats in the payments industry, adapting risk assessment methodologies accordingly * Read and interpret business and financial documents to analyze trends, detect potential fraud, and assess risk * Conduct verbal and written communication with merchants and issuing banks, including handling escalated issues, gathering information, and managing appropriate actions to resolve risk concerns * Develop and maintain Standard Operating Procedures (SOP) and efficient processes to ensure consistent and effective risk management practices * Perform other related duties as assigned by management * Location: You can work fully remote in this position, provided you have eligible working rights in the United States, and you are in a time zone with enough overlap to collaborate with your team. #LI-Remote ## Qualifications What would make me a good candidate? We are looking for curious and empathetic people. We also love to hear from people who are motivated by meaningful work, resonate with our four core values, have a positive outlook, are comfortable with ambiguity and thrive working in an ever-evolving and complex environment. We are inspired by meeting big picture thinkers and doers, people who can be both tactical and strategic, aim high and put people first in everything they do. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skills, and abilities required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. * Bachelor’s degree in relevant field preferred, or at least three years related experience and/or training. Equivalent combination of education and experience will be considered. Previous risk experience is preferred * Ability to read and interpret documents such as credit reports, billing statements, contracts, sales agreements, memos, letters, and process and procedure documentation * Demonstrated history of identifying and implementing process improvements to enhance risk management efficiency and effectiveness * Strong curiosity and proactive approach to problem-solving, with a continuous desire to learn and adapt in a dynamic environment * Proficiency in using risk management tools and software, with a strong aptitude for learning new technologies * Familiarity with fraud detection and payment methodologies, including transaction monitoring, chargeback management, and risk scoring systems * Strong analytical skills, with the ability to interpret data sets and identify patterns or anomalies indicative of risk * Ability to understand and explain merchant contract terms and conditions, as well as Visa/Mastercard operating policies and regulations At Xplor, we believe that the best innovation and ideas happen at the intersections of our differences - people of diverse cultures, generations, disciplines, and lived experiences. So even if you think you do not tick all the boxes, we still encourage you to apply. ## Additional Information At Xplor, we believe that the best innovation and ideas happen at the intersections of our differences - people of diverse cultures, generations, disciplines, and lived experiences. So even if you think you do not tick all the boxes, we still encourage you to apply. Values and Life at Xplor Our four core values guide us from how we hire and recognize our team members to how we interact with our customers day to day: * Make life simple * Build for people * Move with purpose * Create lasting communities. If these values sound like you, and describe people you want to work with, you will thrive at Xplor. As an Xplorer, you will be part of a global network of talented colleagues who will support your success. We look for commonalities and shared passions and give people the tools they need to deliver great work and grow at speed. Some of our perks and benefits are: * Gender Neutral Paid Parental Leave * #GiveBackDays/Commitment to social impact – 3 extra days off to volunteer and give back to your local community * Ongoing dedication to Diversity & Inclusion initiatives such as D&I Council * Access to free mental health support * Flexible working arrangements More about us More than 130,000 businesses in 72+ countries rely on Xplor to run their day and get paid, processing over $47 billion in payments annually. Our connected ecosystem helps operators spend less time managing complexity and more time delivering the experiences that matter most. Xplor is backed by world-class investors Advent International, Battery Ventures, and Silver Lake. Good to know To be considered for employment, you must be legally authorized to work in the country you're applying for. Xplor does not sponsor visas, either at the time of hire or at any later time. We kindly ask you to apply through our careers portal or external job boards only. Please don't send your application via email. To learn more about us and our products, please visit [xplor.com/careers/](https://xplor.com/careers/). We also invite you to check out our Candidate FAQs for more information about our recruitment process [xplor.com/recruitment-faqs/](https://xplor.com/recruitment-faqs/). EEO and Artificial Intelligence We believe in transparent hiring. We use an applicant tracking system that includes artificial intelligence-enabled features to assist with the screening and assessment of job applications, such as candidate scoring or ranking. These tools support our recruitment process, but all hiring decisions are made by our recruitment team following human review. We do not rely on artificial intelligence to make final hiring decisions. Find our Candidate AI Usage guidelines [here](https://c.smartrecruiters.com/sr-company-attachments-prod-aws-dc5/5fa0335de18b196e197e4ed6/d33b5e4f-a1fa-449c-b070-12fd577319aa?r=s3-eu-central-1). Xplor is proud to be an Equal Employment Opportunity employer. We're dedicated to attracting, retaining and developing our people regardless of gender identity, ethnicity, sexual orientation, disability, veteran status and age. Applications are encouraged from all sectors of the community. All Information will be kept confidential according to EEO guidelines. Xplor is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Xplor will take steps to ensure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please contact us via talent@xplortechnologies.com. We make it a priority to respond to every applicant.", "summaryDescription" : "Risk Analyst at Xplor. Skills: Risk analysis, Merchant monitoring. Monitor merchant processing activity. Investigate suspicious merchant activity", "postedDate" : "2026-06-15T14:19:29.000", "createdAt" : "2026-06-16T03:36:52.347", "lastUpdated" : "2026-06-16T12:41:47.095", "ingestTimestamp" : "2026-06-16T03:36:52.347", "mongoId" : "6a308ef6f292fd229c0a6e5c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Financial analysis", "Fraud detection", "Risk analysis", "Merchant monitoring", "Risk management", "Merchant processing", "Payments industry", "Card holder issues", "Bloomberg Terminal", "Reuters Eikon", "FactSet" ], "skillCount" : 11, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306d74f292fd229cfd89bc", "title" : "Risk Analyst", "company" : "Xplor", "industry" : "Computer Software", "salary" : { "min" : 60000.0, "max" : 95000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Bulgaria, adjusted for mid-seniority and FinTech industry for a remote role." }, "location" : "Atlanta, GA, United States", "locations" : [ "Atlanta", "GA", "United States" ], "timestamp" : "2026-06-16T09:00:03.761", "fingerprint" : "e4a8f9dea4be7e44d0dd3d3ab6cc22488297aa949998fed7f2bab1bd6a88821f", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Xplor/744000132215679-risk-analyst-remote", "externalId" : "744000132215679", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "technicalSkills" : "Python, R, SQL, Bloomberg Terminal, Reuters Eikon, FactSet, Murex, Calypso", "professionalSkills" : [ "Risk assessment", "Process improvement" ], "hardSkillsList" : [ "Financial analysis", "Data analysis", "Fraud detection" ], "hardSkills" : [ { "name" : "Financial analysis", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Fraud detection", "level" : "intermediate" } ], "majorSkills" : "Risk management, Fraud detection", "majorSkillsList" : [ "Risk management", "Fraud detection" ], "coreResponsibilities" : "Monitor merchant processing activity, Investigate suspicious merchant activity, Evaluate processing activity patterns, Research internal and external sources, Identify suspicious merchant issues, Identify card holder issues, Review system generated reporting, Review department generated reporting, Mitigate potential company losses, Answer customer inquiries, Make customer calls, Log customer follow-up, Review faxed requests, Review emailed requests, Interpret business documents, Interpret financial documents, Analyze trends, Detect potential fraud, Assess risk, Conduct verbal communication with merchants, Conduct written communication with merchants, Conduct verbal communication with issuing banks, Conduct written communication with issuing banks, Handle escalated issues, Gather information, Manage actions to resolve risk, Develop Standard Operating Procedures, Maintain Standard Operating Procedures, Ensure effective risk management, Perform related duties", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Merchant processing; Payment industry trends; Financial documents", "domainList" : [ "merchant-processing", "payment-industry-trends", "financial-documents" ], "domainSpecificKnowledge" : [ "Merchant processing", "Payment industry trends", "Financial documents" ], "toolProficiency" : [ "Bloomberg Terminal", "Reuters Eikon", "FactSet", "Murex", "Calypso" ], "communicationSkills" : "Verbal communication; Written communication", "documentationSkills" : "Standard Operating Procedures", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Mitigate potential company losses", "qualificationsBasic" : "Three years related experience", "qualificationsPreferred" : "Bachelor’s degree in relevant field, Previous risk experience", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "At Xplor, we believe that helping people make the most of each day is the most rewarding way to spend ours. We give small and medium-sized businesses cloud-based, intuitive technology solutions that enable them to manage all the hassles of running and growing a business, so business owners can get back to doing what they love. With Xplor Pay, we help businesses get paid quickly and securely – without hidden fees. We built the tech ourselves, and our platform delivers secure, transparent, fast, and accurate payments. We are unified by our purpose of helping people to succeed. So, when you become part of our team, you also become part of the personal connection that strengthens the relationship people have with Xplor products. Join our XplorPay vertical as a Risk Analyst to make a real impact every day. We say that because we know that every conversation we have, every code line we write and every interface we design is another opportunity for us to enrich our customers’ experiences. Reporting into the Director of Risk, you will help us with the daily monitoring of merchant processing activity, as well as, conducting investigations of suspicious merchant activity that may be related to merchant(s) processing outside of or not as approved parameters. Analyst is responsible for evaluating patterns in merchant processing activity and researching against internal and external information sources that help in evaluating and identifying potentially suspicious merchant or card holder issues. Review system and department generated reporting that support in identifying potential processing issues to help mitigate potential company losses. Analyst will be responsible for answering incoming and making outgoing calls to customer base in a professional courteous manner; log and notate customer interaction; follow-up on customer inquiries and research; review faxed and emailed request and inquiries; read and interpret business and financial documents; ability to multi-task, handle escalated calls and negotiate a resolution; recommend process improvements and work on special projects. Some of the other responsibilities include: * Analyze merchant account activity alerts generated by automated monitoring systems in order to identify suspicious transaction or processing issues * Review system and department generated reporting that support in identifying potential processing issues to help mitigate potential company losses * Collaborate with cross-functional teams to design, communicate, and implement risk mitigation strategies, ensuring compliance with industry standards and regulations * Monitor emerging trends and threats in the payments industry, adapting risk assessment methodologies accordingly * Read and interpret business and financial documents to analyze trends, detect potential fraud, and assess risk * Conduct verbal and written communication with merchants and issuing banks, including handling escalated issues, gathering information, and managing appropriate actions to resolve risk concerns * Develop and maintain Standard Operating Procedures (SOP) and efficient processes to ensure consistent and effective risk management practices * Perform other related duties as assigned by management * Location: You can work fully remote in this position, provided you have eligible working rights in the United States, and you are in a time zone with enough overlap to collaborate with your team. #LI-Remote ## Qualifications What would make me a good candidate? We are looking for curious and empathetic people. We also love to hear from people who are motivated by meaningful work, resonate with our four core values, have a positive outlook, are comfortable with ambiguity and thrive working in an ever-evolving and complex environment. We are inspired by meeting big picture thinkers and doers, people who can be both tactical and strategic, aim high and put people first in everything they do. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skills, and abilities required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. * Bachelor’s degree in relevant field preferred, or at least three years related experience and/or training. Equivalent combination of education and experience will be considered. Previous risk experience is preferred * Ability to read and interpret documents such as credit reports, billing statements, contracts, sales agreements, memos, letters, and process and procedure documentation * Demonstrated history of identifying and implementing process improvements to enhance risk management efficiency and effectiveness * Strong curiosity and proactive approach to problem-solving, with a continuous desire to learn and adapt in a dynamic environment * Proficiency in using risk management tools and software, with a strong aptitude for learning new technologies * Familiarity with fraud detection and payment methodologies, including transaction monitoring, chargeback management, and risk scoring systems * Strong analytical skills, with the ability to interpret data sets and identify patterns or anomalies indicative of risk * Ability to understand and explain merchant contract terms and conditions, as well as Visa/Mastercard operating policies and regulations At Xplor, we believe that the best innovation and ideas happen at the intersections of our differences - people of diverse cultures, generations, disciplines, and lived experiences. So even if you think you do not tick all the boxes, we still encourage you to apply. ## Additional Information At Xplor, we believe that the best innovation and ideas happen at the intersections of our differences - people of diverse cultures, generations, disciplines, and lived experiences. So even if you think you do not tick all the boxes, we still encourage you to apply. Values and Life at Xplor Our four core values guide us from how we hire and recognize our team members to how we interact with our customers day to day: * Make life simple * Build for people * Move with purpose * Create lasting communities. If these values sound like you, and describe people you want to work with, you will thrive at Xplor. As an Xplorer, you will be part of a global network of talented colleagues who will support your success. We look for commonalities and shared passions and give people the tools they need to deliver great work and grow at speed. Some of our perks and benefits are: * Gender Neutral Paid Parental Leave * #GiveBackDays/Commitment to social impact – 3 extra days off to volunteer and give back to your local community * Ongoing dedication to Diversity & Inclusion initiatives such as D&I Council * Access to free mental health support * Flexible working arrangements More about us More than 130,000 businesses in 72+ countries rely on Xplor to run their day and get paid, processing over $47 billion in payments annually. Our connected ecosystem helps operators spend less time managing complexity and more time delivering the experiences that matter most. Xplor is backed by world-class investors Advent International, Battery Ventures, and Silver Lake. Good to know To be considered for employment, you must be legally authorized to work in the country you're applying for. Xplor does not sponsor visas, either at the time of hire or at any later time. We kindly ask you to apply through our careers portal or external job boards only. Please don't send your application via email. To learn more about us and our products, please visit [xplor.com/careers/](https://xplor.com/careers/). We also invite you to check out our Candidate FAQs for more information about our recruitment process [xplor.com/recruitment-faqs/](https://xplor.com/recruitment-faqs/). EEO and Artificial Intelligence We believe in transparent hiring. We use an applicant tracking system that includes artificial intelligence-enabled features to assist with the screening and assessment of job applications, such as candidate scoring or ranking. These tools support our recruitment process, but all hiring decisions are made by our recruitment team following human review. We do not rely on artificial intelligence to make final hiring decisions. Find our Candidate AI Usage guidelines [here](https://c.smartrecruiters.com/sr-company-attachments-prod-aws-dc5/5fa0335de18b196e197e4ed6/d33b5e4f-a1fa-449c-b070-12fd577319aa?r=s3-eu-central-1). Xplor is proud to be an Equal Employment Opportunity employer. We're dedicated to attracting, retaining and developing our people regardless of gender identity, ethnicity, sexual orientation, disability, veteran status and age. Applications are encouraged from all sectors of the community. All Information will be kept confidential according to EEO guidelines. Xplor is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Xplor will take steps to ensure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please contact us via talent@xplortechnologies.com. We make it a priority to respond to every applicant.", "summaryDescription" : "Risk Analyst at Xplor. Skills: Risk management, Fraud detection. Monitor merchant processing activity. Investigate suspicious merchant activity", "postedDate" : "2026-06-15T14:19:29.000", "createdAt" : "2026-06-16T00:08:16.408", "lastUpdated" : "2026-06-16T09:00:03.761", "ingestTimestamp" : "2026-06-16T00:08:16.408", "mongoId" : "6a306d74f292fd229cfd89bc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Financial analysis", "Data analysis", "Fraud detection", "Risk management", "Risk assessment", "Process improvement", "Merchant processing", "Payment industry trends", "Financial documents", "Bloomberg Terminal", "Reuters Eikon", "FactSet", "Murex", "Calypso" ], "skillCount" : 14, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307f05f292fd229c0547de", "title" : "Senior Intelligence Analyst, Google Threat Intelligence Delivery", "company" : "Google", "industry" : "Cybersecurity", "salary" : { "min" : 105000.0, "max" : 155000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Intelligence Analyst in Amsterdam, Netherlands, adjusted for Google's size and industry." }, "location" : "[Amsterdam, Netherlands, [Claude Debussylaan 34, 1082 MD Amsterdam, Netherlands], Amsterdam, 1082 MD, NH, NL]", "locations" : [ "[Amsterdam, Netherlands, [Claude Debussylaan 34, 1082 MD Amsterdam, Netherlands], Amsterdam, 1082 MD, NH, NL]", "[Netherlands, [Netherlands], null, null, null, NL]" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T12:46:31.008", "fingerprint" : "a364db907785d53c319cb9fe1021553c5186cf33615f61d673653b3824db4209", "source" : "google", "language" : "en", "externalId" : "114076414495335110", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amsterdam", "state" : "North Holland", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.3730796,4.8924534" } ], "locationText" : "Amsterdam, North Holland, Netherlands", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio", "professionalSkills" : [ "Quantitative analysis", "Data engineering", "Business intelligence", "Machine learning", "Data science" ], "hardSkillsList" : [ "Statistical methods", "Modelling skills" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Threat intelligence", "majorSkillsList" : [ "Data analysis", "Threat intelligence" ], "coreResponsibilities" : "Analyze threat data, Develop intelligence reports, Identify emerging threats, Provide actionable insights, Collaborate with security teams, Support incident response", "teamCollaboration" : "Security teams; Cross-functional teams", "domainKnowledge" : "Cyber threat landscape; Intelligence analysis methodologies; Malware analysis; Network security; Cloud security", "domainList" : [ "cyber-threat-landscape", "intelligence-analysis-methodologies", "malware-analysis", "network-security", "cloud-security" ], "domainSpecificKnowledge" : [ "Cyber threat landscape", "Intelligence analysis methodologies", "Malware analysis", "Network security", "Cloud security" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker" ], "communicationSkills" : "Report writing; Presentations", "documentationSkills" : "Technical documentation", "continuousLearning" : "Professional development", "problemSolvingSkills" : "Analytical skills; Problem-solving", "outcomesObjectives" : "Enhance threat detection; Reduce security risks; Improve incident response time", "qualificationsBasic" : "5+ years experience", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "summaryDescription" : "Senior Intelligence Analyst, Google Threat Intelligence Delivery at Google. Skills: Data analysis, Threat intelligence. Analyze threat data. 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Discuss with traders", "domainKnowledge" : "Algorithmic trading; High-Frequency Trading; Medium-Frequency Trading; Asset classes; Equities; Equity derivatives; Options; Commodity futures; Rates futures; Futures markets; Spreads trading; Basis trading; Listed options Greeks; Equity portfolio risk; P&L attribution concepts; Risk monitoring; Liquidity reserves; FCM statements; SPAN margining", "domainList" : [ "algorithmic-trading", "high-frequency-trading", "medium-frequency-trading", "asset-classes", "equities", "equity-derivatives", "options", "commodity-futures", "rates-futures", "futures-markets", "spreads-trading", "basis-trading", "listed-options-greeks", "equity-portfolio-risk", "p-l-attribution-concepts", "risk-monitoring", "liquidity-reserves", "fcm-statements", "span-margining" ], "domainSpecificKnowledge" : [ "Algorithmic trading", "High-Frequency Trading", "Medium-Frequency Trading", "Asset classes", "Equities", "Equity derivatives", "Options", "Commodity futures", "Rates futures", "Futures markets", "Spreads trading", "Basis trading", "Listed options Greeks", "Equity portfolio risk", "P&L attribution concepts", "Risk monitoring", "Liquidity reserves", "FCM statements", "SPAN margining" ], "toolProficiency" : [ "Bloomberg Terminal", "Reuters Eikon", "FactSet", "Murex", "Calypso" ], "communicationSkills" : "Clear daily risk reports", "continuousLearning" : "Professional growth opportunities; 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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. 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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, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "69c94a879bc74574cbbb5080", "title" : "Applied Scientist I, Buyer Risk Prevention (BRP)", "company" : "ADCI - BLR 14 SEZ", "industry" : "Machine Learning Science, Applied Science, Retail", "salary" : { "min" : 1200000.0, "max" : 1800000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Junior Applied Scientist in E-commerce in Bengaluru, India, adjusted for company size and industry." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-15T00:52:01.195", "fingerprint" : "3a645b63e020b0411088a54a923f89d659991040b3eed585408f944f93858cb0", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3197748/apply", "externalId" : "539b1080-f794-4b32-b469-72db1f4e01cd", "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" : "Master's", "technicalSkills" : "Java, C++, Python, SQL, RDBMS, Data Warehouse, Generative AI, LLM", "professionalSkills" : [ "Risk management", "Fraud detection", "Risk policies" ], "hardSkillsList" : [ "Machine learning", "Statistical techniques", "Data analysis", "Model evaluation", "Model deployment", "Risk evaluation", "Risk policies", "Operational efficiency", "Data analysis pipelines", "Model training pipelines", "Model validation pipelines", "Model performance monitoring" ], "hardSkills" : [ { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Statistical techniques", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Model evaluation", "level" : "intermediate" }, { "name" : "Model deployment", "level" : "intermediate" }, { "name" : "Risk evaluation", "level" : "intermediate" }, { "name" : "Risk policies", "level" : "intermediate" }, { "name" : "Operational efficiency", "level" : "intermediate" }, { "name" : "Data analysis pipelines", "level" : "intermediate" }, { "name" : "Model training pipelines", "level" : "intermediate" }, { "name" : "Model validation pipelines", "level" : "intermediate" }, { "name" : "Model performance monitoring", "level" : "intermediate" } ], "majorSkills" : "Machine learning, Statistical techniques, Risk prevention, Generative AI", "majorSkillsList" : [ "Machine learning", "Statistical techniques", "Risk prevention", "Generative AI" ], "coreResponsibilities" : "Apply machine learning techniques, Apply statistical techniques, Build risk management models, Improve risk management models, Analyze historical data, Identify risk patterns, Identify emerging trends, Develop innovative models, Validate innovative models, Deploy innovative models, Experiment with emerging technologies, Enhance automation, Enhance risk evaluation, Implement models in production systems, Improve risk policies, Improve operational efficiency, Build automated pipelines, Monitor model performance, Provide reporting on metrics, Research modeling approaches, Prototype modeling approaches", "teamCollaboration" : "Partner with senior scientists; Partner with engineers; Collaborate with software engineers; Partner with operations teams; Partner with business teams", "domainKnowledge" : "Buyer Risk Prevention; eCommerce fraud; Risk challenges", "domainList" : [ "buyer-risk-prevention", "ecommerce-fraud", "risk-challenges" ], "domainSpecificKnowledge" : [ "Buyer Risk Prevention", "eCommerce fraud", "Risk challenges" ], "innovationCreativity" : "Prototype development", "problemSolvingSkills" : "Translate business problems; Data-driven solutions", "outcomesObjectives" : "Safeguard millions of transactions; Enhance automation; Enhance risk evaluation; Improve risk policies; Improve operational efficiency", "qualificationsBasic" : "Experience programming in Java, C++, Python, Experience with SQL, Master's degree in Engineering, Computer Science, Machine Learning, Operations Research, Statistics, or related fields, Experience building machine learning models, Experience developing algorithms for business application", "qualificationsPreferred" : "Experience implementing algorithms using toolkits, Experience implementing algorithms using self-developed code, Publications at top-tier peer-reviewed conferences, Publications at top-tier peer-reviewed journals", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Do you want to join an innovative team applying machine learning and advanced statistical techniques to protect Amazon customers and enable a trusted eCommerce experience? Are you excited about working with large-scale datasets and developing models that solve real-world fraud and risk challenges? If so, the Amazon Buyer Risk Prevention (BRP) Machine Learning team may be the right fit for you. We are seeking an Applied Scientist to help develop scalable machine learning solutions that safeguard millions of transactions every day. In this role, you will partner with senior scientists and engineers to translate business problems into data-driven solutions, build and evaluate models, and contribute to next-generation risk prevention systems, including applications of Generative AI and LLM technologies. Key job responsibilities Apply machine learning and statistical techniques to build and improve risk management models Analyze large-scale historical data to identify risk patterns and emerging trends Develop, validate, and deploy innovative models under the guidance of senior scientists Experiment with emerging technologies, including GenAI/LLMs, to enhance automation and risk evaluation Collaborate closely with software engineers to implement models in real-time production systems Partner with operations and business teams to improve risk policies and operational efficiency Build scalable, automated pipelines for data analysis, model training, and validation Monitor model performance and provide clear reporting on key risk and business metrics Research and prototype new modeling approaches to improve system performance Basic Qualifications: - Experience programming in Java, C++, Python or related language - Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse - Master's degree in Engineering, Computer Science, Machine Learning, Operations Research, Statistics, or related fields - Experience building machine learning models or developing algorithms for business application Preferred Qualifications: - Experience implementing algorithms using both toolkits and self-developed code - Have publications at top-tier peer-reviewed conferences or journals 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" : "Applied Scientist I, Buyer Risk Prevention (BRP) at ADCI - BLR 14 SEZ. Skills: Machine learning, Statistical techniques, Risk prevention, Generative AI. Apply machine learning techniques. Apply statistical techniques", "postedDate" : "2026-06-13T02:14:32.304", "createdAt" : "2026-06-13T02:14:32.304", "lastUpdated" : "2026-06-15T00:52:01.195", "ingestTimestamp" : "2026-06-13T02:14:32.304", "mongoId" : "69c94a879bc74574cbbb5080", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3197748/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Machine learning", "Statistical techniques", "Data analysis", "Model evaluation", "Model deployment", "Risk evaluation", "Risk policies", "Operational efficiency", "Data analysis pipelines", "Model training pipelines", "Model validation pipelines", "Model performance monitoring", "Risk prevention", "Generative AI", "Risk management", "Fraud detection", "Buyer Risk Prevention", "eCommerce fraud", "Risk challenges" ], "skillCount" : 19, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "68ed10a970f0b99d58e7b8e7", "title" : "Risk Manager III", "company" : "Amazon.com Services LLC", "industry" : "Corporate Operations, Risk Family, no business category", "salary" : { "min" : 121200.0, "max" : 163900.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Arlington, Virginia, USA", "locations" : [ "Arlington, Virginia, USA" ], "timestamp" : "2026-06-15T04:01:43.468", "fingerprint" : "5cb8d9b9792f4319df59fd9de74aa9f5f06d8a03e2fdf4cb69e173739d5f611e", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3100409/apply", "externalId" : "a5014600-80a6-4708-b074-00b752cd4516", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" } ], "locationText" : "Arlington, Virginia, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 1, "experienceLevel" : "Manager", "technicalSkills" : "SQL, Excel, Access", "professionalSkills" : [ "Business analysis", "Process improvement", "Risk management", "Control design", "Data analysis", "Business cases", "Quantitative data" ], "hardSkillsList" : [ "Six Sigma", "AGILE techniques", "Data analysis", "Process improvement", "Quantitative data display" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Six Sigma", "level" : "intermediate" }, { "name" : "AGILE techniques", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Process improvement", "level" : "intermediate" }, { "name" : "Quantitative data display", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Risk management, Project leadership, Process improvement", "majorSkillsList" : [ "Risk management", "Project leadership", "Process improvement" ], "coreResponsibilities" : "Lead projects to identify risks, Own projects to remediate issues, Work with teams to track remediation, Resolve issues and report progress, Develop roadmaps to address gaps, Improve control design and testing, Communicate risk posture to stakeholders, Communicate project information to leadership, Develop strategy for new systems, Design new systems, Coach technical team members, Design appropriate solutions, Present to executive audiences, Coordinate with Legal and business teams, Assess risks, Align controls across platforms, Develop periodic business reviews, Create business metrics, Monitor business metrics, Track process effectiveness, Train control owners, Train technical teams, Understand stakeholder needs, Clarify business procedures, Clarify current tooling, Clarify risk mitigation requirements, Plan multiple parallel projects, Lead multiple parallel projects", "teamCollaboration" : "Work with teams across Amazon; Coordinate with Legal; Coordinate with business teams", "projectManagementSkills" : [ "Project leadership", "Roadmap development", "Six Sigma", "AGILE techniques" ], "domainKnowledge" : "Compliance risks; Operational risks; Technical risks; Functional risks; Risk mitigation; Control design; Risk management", "domainList" : [ "compliance-risks", "operational-risks", "technical-risks", "functional-risks", "risk-mitigation", "control-design", "risk-management" ], "domainSpecificKnowledge" : [ "Compliance risks", "Operational risks", "Technical risks", "Functional risks", "Risk mitigation", "Control design", "Risk management" ], "toolProficiency" : [ "SQL", "Excel", "Access" ], "communicationSkills" : "Present to executives; Report progress", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Improve control design and testing; Track process effectiveness", "qualificationsBasic" : "Master's degree or foreign equivalent, 1 year experience in job offered, Bachelor's degree or foreign equivalent, 3 years experience in job offered, 1 year business analysis or consulting, 1 year statistics and data analysis, 1 year process improvement, 1 year displaying quantitative data, 1 year researching data using SQL, 1 year summarizing data into business cases", "qualificationsPreferred" : "All applicants must meet all above listed requirements", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Employer: Amazon.com Services LLC Position: Risk Manager III (multiple positions available) Location: Arlington, VA Multiple Positions Available: (1) Lead projects to identify technical, functional, operational, and compliance risks. (2) Own projects to remediate issues, including technical and process fixes. (3) Work with teams across Amazon to track remediation, resolve issues, and report progress. (4) Develop roadmaps to address gaps and improve control design and testing. (5) Communicate risk posture and project information to stakeholders and leadership. (6) Develop the strategy and design of new systems. (7) Coach technical team members on designing appropriate solutions and presenting to executive audiences. (8) Coordinate with Legal and business teams to assess risks and align controls across platforms. (9) Develop periodic business reviews by creating and monitoring business metrics to track process effectiveness. (10) Train control owners and technical teams about controls, testing, and risk management. (11) Work to understand stakeholder needs and clarify business procedures, current tooling and related risk mitigation requirements. (12) Plan and lead multiple parallel projects. (40 hours / week, 8:00am-5:00pm, Salary Range $121,200 - $163,900/year) Amazon.com is an Equal Opportunity – Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation Basic Qualifications: A Master's degree or foreign equivalent degree in Management Science, Statistics, Finance, Supply Chain or a related field and 1 year of experience in the job offered, business analysis, business intelligence engineering, data engineering, data mining, or a related occupation. In the alternative, a Bachelor's degree or foreign equivalent degree in Management Science, Statistics, Finance, Supply Chain or a related field and 3 years of experience in the job offered, business analysis, business intelligence engineering, data engineering, data mining, or a related occupation. Experience must include: (1) 1 year of experience in business analysis or consulting. (2) 1 year of experience in statistics and using data to back up assumptions, develop business cases, and complete root cause analysis. (3) 1 year of experience in process improvement including Six Sigma and/or AGILE techniques. (4) 1 year of experience in displaying quantitative data to present findings. (5) 1 year of experience researching, analyzing and summarizing data into business cases using SQL, Excel and Access. Preferred Qualifications: All applicants must meet all the above listed requirements. 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 III at Amazon.com Services LLC. Skills: Risk management, Project leadership, Process improvement. Lead projects to identify risks. Own projects to remediate issues", "postedDate" : "2026-06-13T09:03:41.802", "createdAt" : "2026-06-13T09:03:41.802", "lastUpdated" : "2026-06-15T04:01:43.468", "ingestTimestamp" : "2026-06-13T09:03:41.802", "mongoId" : "68ed10a970f0b99d58e7b8e7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3100409/apply", "salaryAnnualMin" : 121200, "salaryAnnualMax" : 163900, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Six Sigma", "AGILE techniques", "Data analysis", "Process improvement", "Quantitative data display", "Leadership", "Risk management", "Project leadership", "Business analysis", "Control design", "Business cases", "Quantitative data", "Roadmap development", "Compliance risks", "Operational risks", "Technical risks", "Functional risks", "Risk mitigation", "SQL", "Excel", "Access" ], "skillCount" : 21, "jobCategory" : "operations", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69fa9cc04c40e2acd174f8f6", "title" : "Applied Scientist II, Payment Risk Machine Learning", "company" : "ADCI HYD 20 SEZ", "industry" : "Machine Learning Science, Applied Science, amazon business", "salary" : { "min" : 2200000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Applied Scientist II in FinTech, adjusted for mid-seniority and Hyderabad, India." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-15T22:24:27.090", "fingerprint" : "8cba862bad792368c9093bc78096c6cd27acccef604f3fafcb756030e0c63454", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10411938/apply", "externalId" : "53ac7100-3851-467d-b1ad-9d8cbd7cd8d6", "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" : "Master's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python, Java, C++, Machine Learning, Deep Learning, Large Language Models, Agentic AI, Graph Neural Networks, Anomaly Detection, GenAI", "professionalSkills" : [ "Risk management", "Model development", "Data analysis", "Algorithm development", "System design" ], "hardSkillsList" : [ "Statistical modeling", "Machine learning", "Deep learning", "Large language models", "Agentic AI systems", "Graph neural networks", "Anomaly detection", "Fraud detection", "Fraud prevention", "Risk evaluation", "Model validation", "Model monitoring" ], "hardSkills" : [ { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Deep learning", "level" : "intermediate" }, { "name" : "Large language models", "level" : "intermediate" }, { "name" : "Agentic AI systems", "level" : "intermediate" }, { "name" : "Graph neural networks", "level" : "intermediate" }, { "name" : "Anomaly detection", "level" : "intermediate" }, { "name" : "Fraud detection", "level" : "intermediate" }, { "name" : "Fraud prevention", "level" : "intermediate" }, { "name" : "Risk evaluation", "level" : "intermediate" }, { "name" : "Model validation", "level" : "intermediate" }, { "name" : "Model monitoring", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, Risk Management, Fraud Detection, Model Deployment", "majorSkillsList" : [ "Machine Learning", "Risk Management", "Fraud Detection", "Model Deployment" ], "coreResponsibilities" : "Own end-to-end development of machine learning models, Analyze large volumes of historical and real-time data, Identify fraud patterns and emerging risk trends, Design, develop, validate, and deploy innovative models, Apply GenAI/LLM technologies to automate risk evaluation, Improve operational efficiency, Collaborate closely with software engineering teams, Implement scalable, real-time model solutions, Partner with operations and business stakeholders, Translate risk insights into measurable impact, Establish scalable and automated processes for data analysis, Establish scalable and automated processes for model experimentation, Establish scalable and automated processes for model validation, Establish scalable and automated processes for model monitoring, Track model performance, Communicate insights clearly to stakeholders, Research and implement novel machine learning methodologies, Research and implement novel statistical methodologies", "teamCollaboration" : "Cross-functional teams; Business and product leaders", "domainKnowledge" : "Payment risk; E-commerce fraud; Financial transactions", "domainList" : [ "payment-risk", "e-commerce-fraud", "financial-transactions" ], "domainSpecificKnowledge" : [ "Payment risk", "E-commerce fraud", "Financial transactions" ], "communicationSkills" : "Communicate insights clearly", "innovationCreativity" : "Explore and implement state of the art approaches; Build and deploy production-ready models; Automate fraud detection and prevention", "problemSolvingSkills" : "Modeling complex problems; Discovering insights", "outcomesObjectives" : "Minimize risk; Maximize trust; Improve system effectiveness; Prevent bad debt; Improve operational efficiency; Reduce bad debt; Drive tangible improvements in fraud detection; Drive tangible improvements in fraud prevention", "qualificationsBasic" : "3+ years building models, Master's degree and 4+ years experience, Experience programming in Java, C++, Python, Experience in algorithms and data structures, Experience in parsing, Experience in numerical optimization, Experience in data mining, Experience in parallel and distributed computing, Experience in high-performance computing", "qualificationsPreferred" : "Experience in professional software development", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon.com’s Buyer Risk Prevention (BRP) mission is to make Amazon the safest and most trusted place worldwide to transact online. Amazon runs one of the most dynamic e-commerce marketplaces in the world, with nearly 2 million sellers worldwide selling hundreds of millions of items in ten countries. BRP safeguards every financial transaction across all Amazon sites. As such, BRP designs and builds the software systems, risk models, and operational processes that minimize risk and maximize trust in Amazon.com. The BRP organization is looking for an Applied Scientist for its Payment Risk Mining ML team, whose mission is to combine advanced machine learning techniques to detect negative customer experiences, improve system effectiveness, and prevent bad debt across Amazon. As an Applied Scientist in Risk Mining, you will be responsible for modeling complex problems, discovering insights, and building risk algorithms that identify opportunities through state-of-the-art techniques including statistical models, deep learning, large language models (LLMs), and agentic AI systems. You will explore and implement state of the art approaches such as graph neural networks, anomaly detection, GenAI-powered investigation agents, and multi-agent systems to automate fraud detection and prevention at scale. You will build and deploy production-ready models and automated systems to improve operational efficiency and reduce bad debt. You will collaborate effectively with business and product leaders within BRP and cross-functional teams to build scalable solutions. The ideal candidate should be able to apply a breadth of tools, and advanced ML techniques, from traditional machine learning to emerging agentic frameworks, to take ideas from experimentation to production, driving tangible improvements in fraud detection and prevention. The candidate should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences. This is a high-impact role with goals that directly impact the bottom line of the business. Key job responsibilities Own end-to-end development of machine learning models for large-scale risk management systems Analyze large volumes of historical and real-time data to identify fraud patterns and emerging risk trends Design, develop, validate, and deploy innovative models to production environments Apply GenAI/LLM technologies to automate risk evaluation and improve operational efficiency Collaborate closely with software engineering teams to implement scalable, real-time model solutions Partner with operations and business stakeholders to translate risk insights into measurable impact Establish scalable and automated processes for data analysis, model experimentation, validation, and monitoring Track model performance and business metrics; communicate insights clearly to technical and non-technical stakeholders Research and implement novel machine learning and statistical methodologies Basic Qualifications: - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications: - Experience in professional software development 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" : "Applied Scientist II, Payment Risk Machine Learning at ADCI HYD 20 SEZ. Skills: Machine Learning, Risk Management, Fraud Detection, Model Deployment. Own end-to-end development of machine learning models. Analyze large volumes of historical and real-time data", "postedDate" : "2026-06-14T20:13:40.409", "createdAt" : "2026-06-14T20:13:40.409", "lastUpdated" : "2026-06-15T22:24:27.090", "ingestTimestamp" : "2026-06-14T20:13:40.409", "mongoId" : "69fa9cc04c40e2acd174f8f6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10411938/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical modeling", "Machine learning", "Deep learning", "Large language models", "Agentic AI systems", "Graph neural networks", "Anomaly detection", "Fraud detection", "Fraud prevention", "Risk evaluation", "Model validation", "Model monitoring", "Machine Learning", "Risk Management", "Fraud Detection", "Model Deployment", "Risk management", "Model development", "Data analysis", "Algorithm development", "System design", "Payment risk", "E-commerce fraud", "Financial transactions" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "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, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305774f292fd229cf39ece", "title" : "Credit Risk Manager", "company" : "Upstart", "industry" : "FinTech", "salary" : { "min" : 145000.0, "max" : 215000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager-level Credit Risk Manager in the US FinTech industry, adjusted for company size and remote work." }, "location" : "Remote", "locations" : [ "Remote" ], "certifications" : [ "CFA", "CPA", "FRM", "Series 7", "Series 63", "Series 65", "CAIA", "CFP", "ACCA", "ACA" ], "timestamp" : "2026-06-16T08:03:13.375", "fingerprint" : "8f52e56b3eeab76750a41211ab4eb53be13ccdae8bc4b01ae4c3407135de8ede", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careers.upstart.com/jobs?gh_jid=8002976", "externalId" : "8002976", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "experienceLevel" : "Manager", "domainKnowledge" : "Financial instruments; Regulatory frameworks; Risk methodologies; Quantitative skills", "domainList" : [ "financial-instruments", "regulatory-frameworks", "risk-methodologies", "quantitative-skills" ], "domainSpecificKnowledge" : [ "Financial instruments", "Regulatory frameworks", "Risk methodologies", "Quantitative skills" ], "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Upstart At Upstart, we’re united by a mission that matters: to radically reduce the cost and complexity of borrowing for all Americans. Every day, we bring creativity, experimentation, and advanced AI to reshape access to credit, helping millions move forward financially with clarity and confidence. As the leading AI lending marketplace, we partner with banks and credit unions to expand access to affordable credit through technology that’s both radically intelligent and deeply human. Our platform runs over one million predictions per borrower using more than 1,800 signals, powering smarter, fairer decisions for millions of customers. But the numbers only hint at the impact. Every idea, every voice, and every contribution moves us closer to a world where credit never stands between people and their financial progress. We’re proudly digital-first, giving most Upstarters the flexibility to do their best work from wherever they thrive, alongside teammates across 80+ cities in the US and Canada. Digital-first doesn’t mean distant. We’re intentional about in-person connection through team onsites, planning sessions, and moments that spark creativity and trust. And whether you choose to work primarily from home or collaborate in-person from one of our offices in Columbus, Austin, the Bay Area, or New York City (opening Summer 2026), you’ll have the support to work in the way that works best for you. If you’re energized by tackling meaningful problems, excited to innovate with purpose, and motivated by work that truly matters, we’d love to hear from you. The Team: Upstart's Responsible AI Lending team is responsible for ensuring the safety and soundness of underwriting across Upstart Bank's lending portfolio. The team monitors portfolio performance, evaluates emerging risks, and establishes governance frameworks that support responsible growth while meeting regulatory expectations. As the Credit Risk Oversight Manager at Upstart, you will serve as the primary owner of 2LOD Credit Risk oversight monitoring and policies. You will be responsible for establishing the capability and leading credit portfolio monitoring and risk oversight across consumer lending products. You will build the frameworks, dashboards, and processes that enable leadership, committees, and the board to understand portfolio performance, identify emerging risks both internal and external, and make informed decisions while supporting continued innovation of AI-driven underwriting. How you’ll make an impact Develop and maintain credit risk monitoring frameworks that assess portfolio performance relative to business plans, policy limits, and stress scenarios. Establish key risk indicators, thresholds, and early warning signals that identify emerging credit risks across evolving underwriting models and changing economic conditions. Provide credible challenge to 1LOD model development, treasury, credit strategy, and product leaders by using portfolio insights to assess whether performance remains aligned with risk appetite, policy expectations, and business plans. Partner with Machine Learning, Product, Risk, and Bank leadership teams to evaluate portfolio performance and recommend actions when risk metrics deviate from expectations. Partner with peers in Model Risk Management and Fair Lending on second line teams. Prepare and present portfolio risk analyses, monitoring results, and recommendations to senior leadership, governance committees, and other stakeholders. Design and implement governance processes, reporting routines, and operating mechanisms that support regulatory expectations and effective risk oversight. Provide independent challenge and oversight of credit policies, underwriting performance, and risk management practices while balancing innovation and prudent risk management. Minimum Qualifications Bachelor's degree in Finance, Economics, Statistics, Mathematics, Business, or a related quantitative field (or equivalent practical experience). 7+ years of experience in consumer credit risk management, portfolio analytics, or credit risk oversight. Experience analyzing credit performance across the consumer lending lifecycle, including acquisition, underwriting, portfolio management, and repayment outcomes. Experience using data analysis tools such as SQL, Python, R, or similar analytical platforms to evaluate portfolio performance and risk trends. Experience communicating quantitative analyses and risk assessments to senior business leaders through written reports and presentations Preferred Qualifications 10+ years experience in consumer credit risk management across multiple asset categories. Knowledge of machine learning concepts and their application within consumer lending or credit underwriting environments. Experience developing credit risk monitoring frameworks, risk appetite metrics, or portfolio governance processes. Knowledge of banking regulatory requirements and supervisory expectations related to consumer credit risk management. Experience conducting portfolio stress testing, scenario analysis, or sensitivity analysis. Ability to influence cross-functional stakeholders and build alignment across risk, product, analytics, and executive leadership teams. Position location: Remote (United States) Time zone requirements The team operates on the East/West coast time zones. Travel requirements As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S but are encouraged to to still spend high quality time in-person collaborating via regular onsites. The in-person sessions’ cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time. #LI-REMOTE #LI-MidSenior At Upstart, your base pay is one part of your total compensation package. The anticipated base salary for this position is expected to be within the below range. Your actual base pay will depend on your geographic location–with our “digital first” philosophy, Upstart uses compensation regions that vary depending on location. Individual pay is also determined by job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. In addition, Upstart provides employees with target bonuses, equity compensation, and generous benefits packages (including medical, dental, vision, and 401k). United States | Remote - Anticipated Base Salary Range $145,300—$231,300 USD What you'll love At Upstart, our benefits are designed to support your health, financial well-being, family, and personal growth. Here’s what you can expect: Competitive compensation, including base pay, bonus opportunities, and annual equity grants that vest quarterly Retirement benefits to help you plan for the future, including a 401(k) or Group Retirement Savings Plan with a company match of $2 for every $1 contributed, up to $15,000 annually (USD in the US, CAD in Canada) Employee Stock Purchase Plan (ESPP) with discounted stock purchase options for eligible employees (US only) Comprehensive health coverage designed to support you and your family, including medical, dental, vision, and wellness resources for US and supplemental health coverage for Canada. Health Savings Account contributions from Upstart for eligible plans (US only) Income protection benefits, including life insurance and disability coverage for added financial security Paid time off, sick leave, and company holidays, in line with local requirements Paid family and parental leave to support caregiving and major life moments (duration varies by country) Family-centered benefits to support fertility, parenthood, and caregiving needs Employee Assistance Program (EAP) offering mental health support and life-centered resources Financial wellness resources, including access to financial planning tools and a financial concierge service (US Only) Annual wellness allowance to support your physical and emotional well-being and personal development, based on what matters most to you Annual productivity allowance to invest in relevant tools and resources you need to do your best work, no matter where you work from Connection and community through team events, all-company updates, and employee resource groups (ERGs) Onsite perks, including catered lunches and fully stocked micro-kitchens when working from one of our offices in the Bay Area, Austin, Columbus, and New York City (opening Summer 2026!) For roles based in Canada, please note that we are not currently able to hire in Quebec. Upstart is a proud Equal Opportunity Employer. Just as we are dedicated to improving access to affordable credit for all, we are committed to inclusive and fair hiring practices. If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email candidate_accommodations@upstart.com https://www.upstart.com/candidate_privacy_policy", "summaryDescription" : "Credit Risk Manager at Upstart", "postedDate" : "2026-06-15T23:20:57.159", "createdAt" : "2026-06-15T23:20:57.159", "lastUpdated" : "2026-06-16T08:03:13.375", "ingestTimestamp" : "2026-06-15T23:20:57.159", "mongoId" : "6a305774f292fd229cf39ece", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 215000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Financial instruments", "Regulatory frameworks", "Risk methodologies", "Quantitative skills", "CFA", "CPA", "FRM", "Series 7", "Series 63", "Series 65", "CAIA", "CFP", "ACCA", "ACA" ], "skillCount" : 14, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c5f4074d8ee00a08ea5bf", "title" : "Staff Security Engineer, Threat Intelligence", "company" : "Nscale", "industry" : "AI Infrastructure", "salary" : { "min" : 175000.0, "max" : 225000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "AMER", "locations" : [ "AMER" ], "timestamp" : "2026-06-15T00:29:43.002", "fingerprint" : "664be13a355f2d6a2a30166e8d1366e0a82ea0425440ed952067b2b4b8c98ff1", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/nscaleoperationsukltd/jobs/4824332101", "externalId" : "4824332101", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" }, { "country" : "Canada", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States; Canada", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Staff", "technicalSkills" : "AI, ML, STIX, TAXII, SIEM", "professionalSkills" : [ "Threat intelligence analysis", "Detection engineering", "Systems integration", "Automation workflows", "Incident support", "Threat hunting" ], "hardSkillsList" : [ "Adversary tactics", "Attack techniques", "Detection logic", "SIEM rules", "Security controls", "Intelligence feeds", "Data formats" ], "softSkillsList" : [ "Leadership", "Strategy", "Ownership", "Accountability", "Excellence", "Urgency", "Trust", "Openness", "Transparency", "Innovation" ], "hardSkills" : [ { "name" : "Adversary tactics", "level" : "intermediate" }, { "name" : "Attack techniques", "level" : "intermediate" }, { "name" : "Detection logic", "level" : "intermediate" }, { "name" : "SIEM rules", "level" : "intermediate" }, { "name" : "Security controls", "level" : "intermediate" }, { "name" : "Intelligence feeds", "level" : "intermediate" }, { "name" : "Data formats", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Strategy" }, { "name" : "Ownership" }, { "name" : "Accountability" }, { "name" : "Excellence" }, { "name" : "Urgency" }, { "name" : "Trust" }, { "name" : "Openness" }, { "name" : "Transparency" }, { "name" : "Innovation" } ], "majorSkills" : "Threat intelligence, Detection engineering, Security posture, AI infrastructure", "majorSkillsList" : [ "Threat intelligence", "Detection engineering", "Security posture", "AI infrastructure" ], "coreResponsibilities" : "Build threat intelligence capability, Scale threat intelligence capability, Turn adversary insight into outcomes, Connect external intelligence with telemetry, Improve detection and response, Track threat actors, Track campaigns, Track attack techniques, Analyze adversary TTPs, Identify security implications, Produce actionable intelligence, Tailor intelligence to systems, Evaluate intelligence sources, Evaluate intelligence feeds, Evaluate intelligence tooling, Translate intelligence into logic, Translate intelligence into SIEM rules, Translate intelligence into security controls, Partner with Detection & Response, Improve coverage against behaviors, Maintain MITRE ATT&CK mappings, Identify coverage gaps, Improve defensive visibility, Align detections to threats, Integrate intelligence into SIEM, Integrate intelligence into enrichment systems, Integrate intelligence into automation workflows, Leverage AI for data processing, Leverage automation for data processing, Surface patterns in threat data, Support intelligence use in systems, Support intelligence use in workflows, Support incident response, Support threat hunting, Provide contextual intelligence, Generate hypothesis, Communicate insights to teams, Communicate risks to teams, Communicate adversary activity to teams, Communicate insights to leadership, Communicate risks to leadership, Communicate adversary activity to leadership, Enable effective response playbooks, Embed intelligence into workflows", "teamCollaboration" : "Detection & Response; Technical teams; Leadership", "domainKnowledge" : "AI infrastructure; Cloud environments; Enterprise systems; Threat actors; Attack techniques; MITRE ATT&CK", "domainList" : [ "ai-infrastructure", "cloud-environments", "enterprise-systems", "threat-actors", "attack-techniques", "mitre-att-ck" ], "domainSpecificKnowledge" : [ "AI infrastructure", "Cloud environments", "Enterprise systems", "Threat actors", "Attack techniques", "MITRE ATT&CK" ], "toolProficiency" : [ "SIEM platforms", "Threat intelligence platforms" ], "communicationSkills" : "Share insights; Share risks", "innovationCreativity" : "Relentless innovation", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Intelligence integrated into SIEM; Intelligence integrated into automation; Detection coverage against behaviors; Coverage gap tracking; Actionable intelligence produced", "qualificationsBasic" : "8+ years experience in threat intelligence, 8+ years experience in security engineering, 8+ years experience in detection engineering, Understand threat actors, TTPs, Translate intelligence into detections, Translate intelligence into rules, Translate intelligence into security controls, Familiarity with SIEM platforms, Familiarity with detection pipelines, Experience with threat intelligence platforms, Experience with STIX/TAXII, Understand cloud environments, Understand modern infrastructure, Leverage automation for intelligence analysis, Leverage AI for intelligence analysis, Leverage ML for intelligence analysis, Leverage automation for intelligence enrichment, Leverage AI for intelligence enrichment, Leverage ML for intelligence enrichment, Operate at Staff level, Drive strategy, Influence detection programs, Own systems, Clear communication skills", "qualificationsPreferred" : "Experience in AI infrastructure, Experience in threat hunting, Experience in incident response, Experience with SOAR integrations, Experience with malware analysis, Experience with advanced threat actor tracking", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "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 We’re hiring a Staff Security Engineer, Threat Intelligence to build and scale Nscale’s threat intelligence capability and turn adversary insight into actionable security outcomes. This is a high-impact, engineering-driven role focused on connecting external threat intelligence with internal telemetry so that what Nscale knows about attackers directly improves how the company detects and responds. The role works closely with Detection & Response and supports security efforts across infrastructure, cloud, and enterprise systems. You’ll help strengthen Nscale’s security posture by tracking relevant threat actors, campaigns, and emerging techniques, then translating that intelligence into practical detections, defenses, and response improvements. This role matters because it ensures intelligence is not just collected, but operationalized in the systems and workflows that protect the business. This role will be part of the global CISO organization. What you'll be doing Threat Intelligence Analysis Track relevant threat actors, campaigns, and emerging attack techniques tied to Nscale’s environment Analyze adversary tactics, techniques, and procedures to identify meaningful security implications Produce actionable threat intelligence tailored to infrastructure, cloud, and enterprise systems Evaluate external intelligence sources, feeds, and tooling for relevance and quality Detection Engineering & Coverage Translate intelligence into detection logic, SIEM rules, and security controls Partner with Detection & Response to improve coverage against known adversary behaviors Maintain mappings to frameworks such as MITRE ATT&CK and identify coverage gaps Improve defensive visibility by aligning detections to current and emerging threats Systems Integration & Automation Integrate threat intelligence into SIEM pipelines, enrichment systems, and automation workflows Leverage AI and automation to process large volumes of threat data and surface patterns Support the use of intelligence data within operational security systems and workflows Incident Support & Communication Support incident response and threat hunting with contextual intelligence and hypothesis generation Communicate insights, risks, and adversary activity clearly to technical teams and leadership Enable more effective response playbooks by embedding intelligence into response workflows KPIs Threat intelligence integrated into SIEM pipelines and automation workflows Detection coverage against known adversary behaviors Coverage gap tracking through MITRE ATT&CK mappings Actionable intelligence produced for infrastructure, cloud, and enterprise systems About You 8+ years of experience in threat intelligence, security engineering, or detection engineering Strong understanding of threat actors, tactics, techniques, and procedures (TTPs) Experience translating intelligence into detections, rules, or security controls Familiarity with SIEM platforms and detection pipelines Experience with threat intelligence platforms (TIPs) and data formats such as STIX/TAXII Understanding of cloud environments and modern infrastructure Experience leveraging automation or AI/ML techniques for intelligence analysis or enrichment Ability to operate at a Staff level, driving strategy, influencing detection programs, and owning systems Clear communication skills with the ability to share insights and risks with technical teams and leadership Nice to have: experience in AI infrastructure, threat hunting, incident response, SOAR integrations, malware analysis, or advanced threat actor tracking 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 US compensation package (base + bonus + equity), with performance reviews every 12 months. \uD83D\uDE80 Join one of the fastest-growing AI infrastructure companies — your chance to directly shape how global AI capacity is planned and deployed. ✨ Expect a dynamic progression plan tailored to your ambitions. Grow by leading critical cross-functional initiatives and shaping capital strategy — 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. 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. Salary Range The range below reflects the base salary for the position. Actual compensation may vary based on job-related factors such as skill set, experience, education, and location. In addition to base salary, this role may be eligible for bonus, equity, and/or commission programs. Nscale may offer a competitive benefits package including medical, dental, vision, flexible paid time off, parental leave, and retirement plan participation. The range below reflects the base salary for the position. Actual compensation may vary based on job-related factors such as skill set, experience, education, and location. In addition to base salary, this role may be eligible for bonus, equity, and/or commission programs. Nscale may offer a competitive benefits package including medical, dental, vision, flexible paid time off, parental leave, and retirement plan participation. Salary Range $175,000—$225,000 USD For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here.", "summaryDescription" : "Staff Security Engineer, Threat Intelligence at Nscale. Skills: Threat intelligence, Detection engineering, Security posture, AI infrastructure. Build threat intelligence capability. Scale threat intelligence capability", "postedDate" : "2026-06-12T22:12:00.372", "createdAt" : "2026-06-12T22:12:00.372", "lastUpdated" : "2026-06-15T00:29:43.002", "ingestTimestamp" : "2026-06-12T22:12:00.372", "mongoId" : "6a2c5f4074d8ee00a08ea5bf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 225000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Adversary tactics", "Attack techniques", "Detection logic", "SIEM rules", "Security controls", "Intelligence feeds", "Data formats", "Leadership", "Strategy", "Ownership", "Accountability", "Excellence", "Urgency", "Trust", "Openness", "Transparency", "Innovation", "Threat intelligence", "Detection engineering", "Security posture", "AI infrastructure", "Threat intelligence analysis", "Systems integration", "Automation workflows", "Incident support", "Threat hunting", "Cloud environments", "Enterprise systems", "Threat actors", "MITRE ATT&CK", "SIEM platforms", "Threat intelligence platforms" ], "skillCount" : 32, "jobCategory" : "other", "jobSubcategory" : "security", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "AI Infrastructure" }, { "id" : "68c2e420f8b1b0376634c4fe", "title" : "Security Intelligence Engineer", "company" : "Amazon. com Services LLC", "industry" : "Systems, Quality, Security Engineering, Systems Security Engineering, amazon security", "salary" : { "min" : 136000.0, "max" : 212800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Annapolis Junction, Maryland, USA", "locations" : [ "Annapolis Junction, Maryland, USA" ], "timestamp" : "2026-06-16T01:05:11.332", "fingerprint" : "9b06336bfcc1bf2363c8f51ef1da42abb8057330354670e1abe99c0c103970f1", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3078108/apply", "externalId" : "bd0f1b1d-a69e-4571-86cb-3486f6a041c0", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Annapolis Junction", "state" : "Maryland", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.1189965,-76.7963417" }, { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" }, { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" }, { "city" : "Herndon", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.9695316,-77.3859479" }, { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" }, { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Annapolis Junction, Maryland, United States; Arlington, Virginia, United States; Austin, Texas, United States; Herndon, Virginia, United States; New York, New York, United States; Seattle, Washington, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Security intelligence, Incident response, Threat modeling, Threat analysis, Security tools, Security technologies, Cloud security, AWS, Azure, GCP, Python, Bash, SIEM platforms, Threat hunting, Network security, Endpoint security, Vulnerability management, Forensics, Malware analysis, Scripting", "professionalSkills" : [ "Analytical thinking", "Problem-solving", "Risk assessment" ], "hardSkillsList" : [ "Security analysis", "Incident management", "Threat intelligence gathering", "Data analysis", "Forensic analysis", "Malware reverse engineering" ], "hardSkills" : [ { "name" : "Security analysis", "level" : "intermediate" }, { "name" : "Incident management", "level" : "intermediate" }, { "name" : "Threat intelligence gathering", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Forensic analysis", "level" : "intermediate" }, { "name" : "Malware reverse engineering", "level" : "intermediate" } ], "majorSkills" : "Security intelligence, Incident response, Threat analysis", "majorSkillsList" : [ "Security intelligence", "Incident response", "Threat analysis" ], "coreResponsibilities" : "Develop and implement security intelligence strategies, Monitor security alerts and events, Investigate security incidents, Conduct threat analysis and intelligence gathering, Develop and maintain threat models, Provide security recommendations, Collaborate with incident response teams, Stay current with emerging threats and vulnerabilities, Automate security processes", "teamCollaboration" : "Incident response teams; Security operations center; Engineering teams; Product teams", "domainKnowledge" : "Cyber threats; Adversary tactics; Vulnerabilities; Cloud security; Network security; Endpoint security", "domainList" : [ "cyber-threats", "adversary-tactics", "vulnerabilities", "cloud-security", "network-security", "endpoint-security" ], "domainSpecificKnowledge" : [ "Cyber threats", "Adversary tactics", "Vulnerabilities", "Cloud security", "Network security", "Endpoint security" ], "toolProficiency" : [ "SIEM platforms", "Security tools", "Threat intelligence platforms" ], "communicationSkills" : "Technical reporting; Presenting findings", "documentationSkills" : "Security reports; Process documentation", "continuousLearning" : "Stay current with emerging threats", "problemSolvingSkills" : "Root cause analysis; Troubleshooting security issues", "outcomesObjectives" : "Enhance security posture; Reduce security risks; Improve incident detection and response times", "qualificationsBasic" : "Bachelor's degree or equivalent experience, 5+ years of experience in security engineering, Experience with security intelligence and incident response, Experience with threat modeling and analysis, Experience with security tools and technologies", "qualificationsPreferred" : "Master's degree in a related field, Experience with cloud security (AWS, Azure, GCP), Experience with scripting languages (Python, Bash), Experience with SIEM platforms, Experience with threat hunting", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "We are open to hiring candidates to work out of one of the following locations: Annapolis Junction, MD, USA | Arlington, VA, USA | Austin, TX, USA | Herndon, VA, USA | New York, NY, USA | Seattle, WA, USA The AWS Threat Intelligence team, part of Amazon Cyber Threat Intelligence (ACTI), is responsible for developing actionable intelligence on advanced cyber threats to AWS services and AWS customers. We obtain indicators and other intelligence from a variety of internal and external sources and use that information to develop an understanding of sophisticated actors and their tools, techniques, and procedures (TTPs). We leverage that understanding to proactively identify and mitigate malicious activity. The successful candidate will analyze actor TTPs to generate intelligence and insights into current threats. A deep understanding of current cyber threat actors as well as experience performing question-driven analysis is required. As a Security Intelligence Engineer, you will help enhance our capabilities by formulating new analytic techniques and working across teams to drive their supporting capabilities. You will likewise work to harness expansive data sets and generate actionable and unique insights from them using database querying and statistical analysis. Your efforts will help drive innovation and continual improvement in the \"state-of-the-art\" of cyber threat intelligence analysis and dissemination at Amazon. This position requires that the candidate selected be a US Citizen. Key job responsibilities *Perform deep dive analysis of malicious artifacts. *Analyze large and unstructured data sets to identify trends and anomalies indicative of malicious activities. *Create security techniques and automation for internal use that enable you to operate at high speed and broad scale. *Contribute to Amazon's understanding of the current threat landscape and the techniques, tactics, and procedures associated with specific threats. *Draft and publish finished written threat intelligence products based on findings. *Periodic on-call responsibilities. About the team Diverse Experiences Amazon Security values diverse experiences. Even if you do not meet all of the 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 Amazon Security? At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores Inclusive Team Culture In Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices. Training & 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, training, 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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Basic Qualifications: - Experience implementing security solutions at the business division level or equivalent - BS degree in Computer Science, Management of Information Systems (MIS), Computer Engineering, or similar degree, or 3+ years equivalent technology experience without a degree - 3 years experience with tracking high-sophistication cyber threat groups - 3 years experience across system security, network security, application security, and/or digital forensics - 2 years experience with SQL or other relational database query languages. Preferred Qualifications: - Experience with AWS products and services - MS degree in Computer Science, Management of Information Systems (MIS), Computer Engineering, or similar degree. - Strong understanding of Windows, Linux, and or OS X internals - Experience with malware analysis, network flow analysis, and large scale data analysis. - Experience with modern threat intelligence platforms (TIPs), especially the Vertex Project's Synapse - Experience with scripting in the Python programming language. 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 $136,000/year in our lowest geographic market up to $212,800/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" : "Security Intelligence Engineer at Amazon. com Services LLC. Skills: Security intelligence, Incident response, Threat analysis. Develop and implement security intelligence strategies. Monitor security alerts and events", "postedDate" : "2026-06-14T20:26:20.129", "createdAt" : "2026-06-14T20:26:20.129", "lastUpdated" : "2026-06-16T01:05:11.332", "ingestTimestamp" : "2026-06-14T20:26:20.129", "mongoId" : "68c2e420f8b1b0376634c4fe", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3078108/apply", "salaryAnnualMin" : 136000, "salaryAnnualMax" : 212800, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Security analysis", "Incident management", "Threat intelligence gathering", "Data analysis", "Forensic analysis", "Malware reverse engineering", "Security intelligence", "Incident response", "Threat analysis", "Analytical thinking", "Problem-solving", "Risk assessment", "Cyber threats", "Adversary tactics", "Vulnerabilities", "Cloud security", "Network security", "Endpoint security", "SIEM platforms", "Security tools", "Threat intelligence platforms" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a0ab0721663d49372dc3d73", "title" : "Intern, Cyber Threat Intelligence", "company" : "FS-ISAC", "industry" : "Cybersecurity", "salary" : { "min" : 24000.0, "max" : 36000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level intern in Singapore's cybersecurity industry, adjusted for temporary employment." }, "location" : "Singapore, SG", "locations" : [ "Singapore", "SG" ], "timestamp" : "2026-06-16T06:35:38.199", "fingerprint" : "09e09421d4caa032d6ec7c73376c32c347d28bdad16aa46416888cbfe1f843ae", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://fs-isac.breezy.hr/p/83afc8a407a5-intern-cyber-threat-intelligence-hybrid", "externalId" : "83afc8a407a5", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Singapore", "country" : "Singapore", "continent" : "as", "source" : "llm", "workMode" : "hybrid", "geo" : "1.2899175,103.8519072" } ], "locationText" : "Singapore, Singapore", "employmentType" : "TEMPORARY", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "softSkillsList" : [ "Humility", "Open feedback" ], "softSkills" : [ { "name" : "Humility" }, { "name" : "Open feedback" } ], "teamCollaboration" : "Across members; Across partners; Across internal teams", "continuousLearning" : "Learning continuously", "outcomesObjectives" : "Collective success", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "OUR CULTUREAt FS-ISAC, how we work matters as much as what we do. We believe in:• Collaboration – across members, partners, and internal teams. • Collective success – wins are celebrated as a community.• Humility & curiosity – staying open, learning continuously.• Open feedback – role-modeling", "summaryDescription" : "Intern, Cyber Threat Intelligence at FS-ISAC", "createdAt" : "2026-06-14T21:03:32.806", "lastUpdated" : "2026-06-16T06:35:38.199", "ingestTimestamp" : "2026-06-14T21:03:32.806", "mongoId" : "6a0ab0721663d49372dc3d73", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Humility", "Open feedback" ], "skillCount" : 2, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Cybersecurity", "llmIndustryConfidence" : 0.95 }, { "id" : "68ed10ae70f0b99d58e7bd10", "title" : "Senior Security Engineer, Risk Engineering", "company" : "Amazon.com Services LLC", "industry" : "Systems, Quality, Security Engineering, Systems Security Engineering, amazon security", "salary" : { "min" : 143300.0, "max" : 247600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "certifications" : [ "CISSP", "CSSLP", "CEH" ], "timestamp" : "2026-06-15T05:48:06.267", "fingerprint" : "58f029769c68302114fd241a0748d1a349b359a9ab1a1e4598f0cdb7a4fe880e", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3104521/apply", "externalId" : "981dc76e-8ef5-4a80-b3b7-a51a0971f55f", "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", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Data analytics, Machine learning, Advanced analytics", "professionalSkills" : [ "Risk management", "Security engineering", "Data science" ], "hardSkillsList" : [ "Data processing", "Risk identification", "Security tooling" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Risk identification", "level" : "intermediate" }, { "name" : "Security tooling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Security engineering, Risk management, Data analytics", "majorSkillsList" : [ "Security engineering", "Risk management", "Data analytics" ], "coreResponsibilities" : "Design risk identification methodologies, Support development of risk identification methodologies, Ideate new methods of risk identification, Validate output of security tooling, Drive innovation in security risk detection, Ensure security tooling output meets targets, Ensure security tooling output meets metrics, Partner with SRC teams, Partner with BST teams, Identify security risks, Mitigate security risks, Champion data-driven security practices, Provide technical leadership", "teamCollaboration" : "Cross-functional teams; Security teams; SRC teams; BST teams", "domainKnowledge" : "Security engineering; Risk management; Data science; Cloud security; Cloud infrastructure", "domainList" : [ "security-engineering", "risk-management", "data-science", "cloud-security", "cloud-infrastructure" ], "domainSpecificKnowledge" : [ "Security engineering", "Risk management", "Data science", "Cloud security", "Cloud infrastructure" ], "innovationCreativity" : "Drive innovation; Design creative solutions", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Provide actionable risk insights; Provide data-driven risk insights", "qualificationsBasic" : "Bachelor's degree in Computer Science, 5+ years of experience in security engineering, 3+ years focusing on security tooling, 3+ years focusing on risk management, Experience with data analytics, Experience with large-scale data processing, Track record of leading security initiatives, Track record of influencing cross-functional teams", "qualificationsPreferred" : "Master's degree in Computer Science, Master's degree in Cybersecurity, 8+ years of experience in security engineering, 3+ years focusing on security tooling, 3+ years focusing on risk management, Security certifications, Experience with cloud security, Experience with cloud infrastructure, Background in risk assessment frameworks, Background in risk assessment methodologies, Experience mentoring junior security engineers", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The SRC Risk Engineering team takes a scientific, data-driven approach to enhance security across Amazon's business lines. We develop state-of-the-art tools and platforms leveraging our centralized data lake to identify emerging security risks and support their mitigation. By collaborating closely with security teams, we proactively seek out opportunities to design creative solutions, leveraging advanced analytics and learning models to provide continuous and actionable risk insights. As a Senior Security Engineer, you'll drive the development of innovative risk identification methods and play a crucial role in shaping our security tooling ecosystem. This role offers the unique opportunity to work at the intersection of security engineering, data science, and risk management while protecting millions of customers worldwide. Key job responsibilities - Design and support the development of data-driven risk identification methodologies that scale across Amazon. - Ideate new methods of risk identification and validate the output of new security tooling leveraging advanced analytics and machine learning - Drive innovation in our security risk detection - Ensure security tooling output meets or exceeds established targets and metrics - Partner with SRC and BST teams to identify and mitigate security risks - Champion data-driven security practices and provide technical leadership across teams - Mentor team members and contribute to the security engineering community About the team The SRC Risk Engineering team takes a scientific, data-driven approach to enhance security across Amazon's business lines. We develop state-of-the-art tools and platforms leveraging our centralized data lake to identify emerging security risks and supporting their mitigation. By collaborating closely with security teams, we proactively seek out opportunities to design creative solutions, leveraging advanced analytics and learning models to provide continuous and actionable risk insights. The SRC Risk Engineering team aims to provide Amazonians with actionable, data-driven insights to enhance security and drive innovation. We strive to develop best-in-class security tools and mechanisms to become a trusted source of information on security risks, thus enabling secure business growth. Basic Qualifications: - Bachelor's degree in Computer Science or other related discipline - 5+ years of experience in security engineering, with 3+ years focusing on security tooling and risk management - Experience with data analytics and large-scale data processing - Track record of leading security initiatives and influencing cross-functional teams Preferred Qualifications: - Master's degree in Computer Science, Cybersecurity, or related field. - 8+ years of experience in security engineering, with 3+ years focusing on security tooling and risk management - Security certifications (CISSP, CSSLP, CEH, etc.) - Experience with cloud security and infrastructure - Background in risk assessment frameworks and methodologies - Experience mentoring junior security engineers 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 $143,300/year in our lowest geographic market up to $247,600/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" : "Senior Security Engineer, Risk Engineering at Amazon.com Services LLC. Skills: Security engineering, Risk management, Data analytics. Design risk identification methodologies. Support development of risk identification methodologies", "postedDate" : "2026-06-13T15:38:28.460", "createdAt" : "2026-06-13T15:38:28.460", "lastUpdated" : "2026-06-15T05:48:06.267", "ingestTimestamp" : "2026-06-13T15:38:28.460", "mongoId" : "68ed10ae70f0b99d58e7bd10", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3104521/apply", "salaryAnnualMin" : 143300, "salaryAnnualMax" : 247600, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data processing", "Risk identification", "Security tooling", "Leadership", "Mentoring", "Security engineering", "Risk management", "Data analytics", "Data science", "Cloud security", "Cloud infrastructure", "CISSP", "CSSLP", "CEH" ], "skillCount" : 14, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a305b66f292fd229cf5d4ac", "title" : "Team Lead Risk - ICAAP / ILAAP (Pillar 1)", "company" : "N26", "industry" : "Banking", "salary" : { "min" : 85000.0, "max" : 115000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Team Lead Risk - ICAAP / ILAAP (Pillar 1) in Berlin, Germany, with adjustments for the FinTech industry and company size." }, "location" : "Berlin, Berlin, Germany", "locations" : [ "Berlin", "Berlin", "Germany" ], "timestamp" : "2026-06-16T09:57:17.890", "fingerprint" : "91e2d1c11e45f11f9d68ffee9c2e2ee73bf5591465af4b4feb89d27c125ddb74", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://n26.com/en-eu/careers/positions/8007098?gh_jid=8007098", "externalId" : "8007098", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Berlin", "state" : "Berlin", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.5033790,13.3386522" } ], "locationText" : "Berlin, Berlin, Germany", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "domainKnowledge" : "ICAAP; ILAAP; Pillar 1", "domainList" : [ "icaap", "ilaap", "pillar-1" ], "domainSpecificKnowledge" : [ "ICAAP", "ILAAP", "Pillar 1" ], "rawDescription" : "About the opportunity Are you ready to take the next step in your career? N26 is looking for a Team Lead to lead and further develop the Risk Governance German is a strong advantage What’s in it for you: Accelerate your career growth by joining one of Europe’s most talked about disruptors \uD83D\uDE80. Employee benefits that range from a competitive personal development budget, work from home budget, discounts to fitness & wellness memberships, language apps and public transportation. As an N26 employee you will have access to a Premium subscription on your personal N26 bank account. As well as subscriptions for friends and family members. Additional day of annual leave for each year of service. A high degree of autonomy and access to cutting edge technologies - all while working with a friendly team of peers of diverse nationalities, life experiences and family statuses. A relocation package with visa support for those who need it. Who we are N26 has reimagined banking for today’s digital world. Technology and design empower everything we do and it’s how we are building the global banking platform the world loves to use. We've eliminated physical branches, paperwork, and hidden fees for an elegant digital experience and supreme savings. Giving people the power to live and bank their way is what gets us out of bed in the morning and inspires the work that we do. We are headquartered in Berlin with offices in multiple cities across Europe, including Vienna and Barcelona, and a 1,500-strong team of more than 80 nationalities. Sounds good? Apply now for this position. Equal Opportunities: We recognize that our strength lies in our people and the varied perspectives they bring to our workforce. We strive to build talented and diverse teams to drive our business success and empower our people to reach their full potential. We genuinely welcome and encourage applications from people of all backgrounds, cultures, genders, sexual orientations, abilities, neurodiversities, and ages. We're committed to creating an inclusive workspace where everyone feels valued and respected, free from harassment and discrimination. If there's anything you need to make the application process work for you, please let us know by reaching out to candidate.exp@n26.com. Visit our website to learn more about Diversity, Equity, & Inclusion at N26.", "summaryDescription" : "Team Lead Risk - ICAAP / ILAAP (Pillar 1) at N26", "postedDate" : "2026-06-15T23:25:17.305", "createdAt" : "2026-06-15T23:25:17.305", "lastUpdated" : "2026-06-16T09:57:17.890", "ingestTimestamp" : "2026-06-15T23:25:17.305", "mongoId" : "6a305b66f292fd229cf5d4ac", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "ICAAP", "ILAAP", "Pillar 1" ], "skillCount" : 3, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "68c2e42bf8b1b0376634c6f0", "title" : "Learning Experience Manager, Customer Trust Training - Buyer Risk Prevention", "company" : "Amazon Support Services Costa Rica SRL", "industry" : "Project/Program/Product Management--Non-Tech, Program Management, customer trust and partner support", "salary" : { "min" : 3.15E7, "max" : 4.725E7, "currency" : "CRC", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for E-commerce in San Jose, Costa Rica, adjusted for Manager seniority and company size." }, "location" : "San Jose, San Jose, CRI", "locations" : [ "San Jose, San Jose, CRI" ], "timestamp" : "2026-06-15T04:33:31.441", "fingerprint" : "a4d40d476ecdc91cc1a1c048981cccb90d6dbcf465194c1219020c91ce5d7277", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3076098/apply", "externalId" : "f46c6f42-30a0-453d-b550-e01aae14bd8f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Jose", "state" : "San Jose", "country" : "Costa Rica", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "9.9327707,-84.0796144" } ], "locationText" : "San Jose, San Jose, Costa Rica", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceLevel" : "Manager", "professionalSkills" : [ "Instructional design", "People management", "Project management", "Technical writing", "Information design" ], "hardSkillsList" : [ "Multi-modal instructional design", "Editing" ], "softSkillsList" : [ "Leadership", "Attention to detail", "Interpersonal skills", "Verbal communication", "Written communication", "Time management", "Dealing with ambiguity" ], "hardSkills" : [ { "name" : "Multi-modal instructional design", "level" : "intermediate" }, { "name" : "Editing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Attention to detail" }, { "name" : "Interpersonal skills" }, { "name" : "Verbal communication" }, { "name" : "Written communication" }, { "name" : "Time management" }, { "name" : "Dealing with ambiguity" } ], "majorSkills" : "Learning experience design, People management, Program management", "majorSkillsList" : [ "Learning experience design", "People management", "Program management" ], "coreResponsibilities" : "Partner with Operations teams, Balance workload and priorities, Make trade-offs, Lead a team of LXDs, Hire LXDs, Manage LXD performance, Coach LXDs, Promote LXDs, Audit team deliverables, Drive content-related programs, Manage a team of designers, Meet with direct reports, Meet with global team, Meet with business stakeholders, Plan and allocate resources, Deliver programmatic goals, Manage team performance", "teamCollaboration" : "Global team meetings; Business stakeholder meetings; Cross-functional teams; Consultative approach with stakeholders", "projectManagementSkills" : [ "Program management", "Project management" ], "domainKnowledge" : "Buyer Risk Prevention; Customer Trust Training; Fraud and abuse investigation", "domainList" : [ "buyer-risk-prevention", "customer-trust-training", "fraud-and-abuse-investigation" ], "domainSpecificKnowledge" : [ "Buyer Risk Prevention", "Customer Trust Training", "Fraud and abuse investigation" ], "communicationSkills" : "Verbal communication; Written communication", "documentationSkills" : "Technical writing", "problemSolvingSkills" : "Diving deep", "outcomesObjectives" : "Meet business goals; Meet short-term targets; Meet team goals; Meet SLAs; Deliver results", "qualificationsBasic" : "3+ years team management experience, 3+ years program management experience, 3+ years cross-functional experience, 3+ years delivering cross-functional projects, Experience defining program requirements, Using data and metrics for improvements", "qualificationsPreferred" : "Experience implementing repeatable processes, Driving automation or standardization, Experience in data mining, Data management experience, Reporting experience, SQL queries experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Would you like to join a dynamic Amazon team that is focused on designing and developing global training that meets business needs? The Buyer Risk Prevention Learning Experience Design team owns the creation of targeted learning solutions (eLearning, VILT, and other modalities) that enable investigators to resolve customer issues and investigate potential fraud and abuse. We are currently looking for a strong manager to lead our Costa Rica team in developing global training content that supports investigator performance. The successful candidate will manage a team of learning experience designers. This includes regular meetings with direct reports, the global team, and business stakeholders. It also includes resource planning and allocation, delivering programmatic goals, and managing the team’s performance. The candidate will also be expected to drive content- related programs from conception to delivery, working in collaboration with global stakeholders. This role requires an individual with excellent instructional design, people management, and project management skills. The candidate must be a self-starter, with strong attention to detail, capable of diving deep, and able to work in a fast-paced and dynamic environment. Great interpersonal skills, strong verbal and written communication, time management, and the ability to deal with ambiguity are required. Demonstrated affinity for technology and a background in training, multi-modal instructional design, technical writing, editing, and information design would be a plus. A passion for communicating effectively is essential to the role. Key job responsibilities Key job responsibilities • Partner with Operations teams to meet business goals • Balance workload and priorities to meet short-term targets and team goals. Make trade-offs: time vs. quality vs. resources • Lead a team of LXDs - to meet SLAs and deliver results. Hire, manage performance, coach, and promote ICs • Audit team deliverables to ensure high quality About the team Our team of talented learning experience designers strive to uphold these tenets: 1. Create impactful, data-driven learning. 2. Prioritize effectiveness over design, style and speed. 3. Be learner-obsessed. 4. Create elevated learning experiences. 5. Make learning scalable and sustainable. We collaborate with stakeholders with a consultative approach, working backwards from the business problem to determine the best approach to achieve the desired business outcomes using metrics, feedback, and data analytics to measure performance improvements. Basic Qualifications: - 3+ years of team management experience - 3+ years of program or project management experience - 3+ years of working cross functionally with tech and non-tech teams experience - 3+ years of delivering cross functional projects experience - Experience defining program requirements and using data and metrics to determine improvements Preferred Qualifications: - Experience implementing repeatable processes and driving automation or standardization - Experience in data mining, data management, reporting, and SQL queries 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" : "Learning Experience Manager, Customer Trust Training - Buyer Risk Prevention at Amazon Support Services Costa Rica SRL. Skills: Learning experience design, People management, Program management. Partner with Operations teams. Balance workload and priorities", "postedDate" : "2026-06-13T10:46:27.889", "createdAt" : "2026-06-13T10:46:27.889", "lastUpdated" : "2026-06-15T04:33:31.441", "ingestTimestamp" : "2026-06-13T10:46:27.889", "mongoId" : "68c2e42bf8b1b0376634c6f0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3076098/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Multi-modal instructional design", "Editing", "Leadership", "Attention to detail", "Interpersonal skills", "Verbal communication", "Written communication", "Time management", "Dealing with ambiguity", "Learning experience design", "People management", "Program management", "Instructional design", "Project management", "Technical writing", "Information design", "Buyer Risk Prevention", "Customer Trust Training", "Fraud and abuse investigation" ], "skillCount" : 19, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a306b59f292fd229cfd01db", "title" : "IT Risk Manager", "company" : "KPMG Nederland", "industry" : "Accounting", "salary" : { "min" : 4165.0, "max" : 6845.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Amstelveen, NH, Netherlands", "locations" : [ "Amstelveen", "NH", "Netherlands" ], "timestamp" : "2026-06-16T11:52:32.829", "fingerprint" : "0b35df6f013c6a20d85d40be6d33993640c4fd0e3c545d7ab72a7a3da56f7ffc", "source" : "smartrecruiters", "language" : "nl", "applyUrl" : "https://jobs.smartrecruiters.com/KPMGNederland/744000132216461-it-risk-manager", "externalId" : "744000132216461", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amstelveen", "state" : "North Holland", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "52.2862177,4.8526493" } ], "locationText" : "Amstelveen, North Holland, Netherlands", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "GRC", "professionalSkills" : [ "Risk management", "Process improvement", "Stakeholder advising", "Risk analysis", "Process structuring", "Risk mitigation" ], "hardSkillsList" : [ "IT controls", "Risk assessment", "Control testing", "Reporting findings" ], "hardSkills" : [ { "name" : "IT controls", "level" : "intermediate" }, { "name" : "Risk assessment", "level" : "intermediate" }, { "name" : "Control testing", "level" : "intermediate" }, { "name" : "Reporting findings", "level" : "intermediate" } ], "majorSkills" : "IT risk management, GRC platform, Stakeholder management", "majorSkillsList" : [ "IT risk management", "GRC platform", "Stakeholder management" ], "coreResponsibilities" : "Harmonize IT-riskmanagementprocesses, Implement Sofy GRC, Advise stakeholders, Ensure risk insight, Train colleagues, Monitor IT-riskmanagementactivities, Make risks visible, Structure projects, Mitigate risks, Report risk outcomes", "teamCollaboration" : "Colleagues from diverse teams; Diverse knowledge levels", "domainKnowledge" : "Information security policy; IT controls framework", "domainList" : [ "information-security-policy", "it-controls-framework" ], "domainSpecificKnowledge" : [ "Information security policy", "IT controls framework" ], "toolProficiency" : [ "Sofy GRC" ], "communicationSkills" : "Convincing communication", "continuousLearning" : "Training and education", "qualificationsBasic" : "Five years IT-riskmanagementprocesses, Relevant Hbo/WO education, Communicates in Dutch and English", "qualificationsPreferred" : "Affinity with generative AI", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "* Je verbindt en harmoniseert bestaande IT‑riskmanagementprocessen, zodat één logisch, samenhangend en effectief geheel ontstaat * Je zet Sofy GRC neer als hét centrale platform voor IT controls en risicobeheersing, zodat processen strak en aantoonbaar in de tooling zijn geborgd * Je adviseert stakeholders op alle niveaus, brengt hen in beweging en creëert draagvlak voor noodzakelijke verbeteringen * Je zorgt voor scherp inzicht in risico’s, voortgang en openstaande acties en maakt de impact helder en bestuurbaar voor de organisatie * Je traint en begeleidt collega’s in het gebruik van Sofy GRC, zodat zij zelfstandig en consistent volgens de KPMG‑standaard kunnen werken * Je bewaakt het integrale overzicht over alle IT‑riskmanagementactiviteiten en ziet snel waar risico’s, afhankelijkheden of gaten ontstaan Het Security Office (RM/SO) is een onderdeel van Risk Management. Het RM/SO bereidt informatiebeveiligingsbeleid voor, beoordeelt de juiste implementatie van het beleid in KPMG-services, producten en processen en adviseert Assurance, Advisory en Central Services bij de juiste uitvoering van het beleid en bij informatiebeveiliging. RM/SO voert daarom risicoanalyses uit om een goed beeld te vormen over de risico’s en welke maatregelen genomen moeten worden om die risico’s binnen de risicobereidheid te houden. Als IT Risk Manager speel je een sleutelrol in het versterken van KPMG’s informatiebeveiliging door risico’s inzichtelijk te maken, processen te structureren en collega’s te begeleiden in Sofy GRC. Je onderhoudt het IT-controls framework dat in Sofy GRC gekoppeld is aan de IT-risico’s, waardoor er een actueel inzicht is in de IT risico’s voor KPMG. Je structureert projecten en operationele acties die risico’s mitigeren en koppelt deze logisch aan de onderliggende risico’s. Hierdoor ontstaat een helder inzicht in voortgang, prioriteiten en benodigde bijsturing. De uitkomsten van risicoanalyses en verbetertrajecten rapporteer je overtuigend aan verschillende niveaus binnen de organisatie. Je werkt intensief samen met collega’s uit diverse teams en met uiteenlopende kennisniveaus. Jij doorgrondt snel wat er nodig is, maakt complexe materie begrijpelijk en zorgt ervoor dat iedereen in beweging komt richting hetzelfde doel. Het overbrengen van urgentie, creëren van draagvlak en motiveren van collega’s is een essentieel onderdeel van jouw kracht. ## Qualifications * Je hebt vijf jaar bewezen ervaring met het opzetten, beheren en uitvoeren van IT‑riskmanagementprocessen * Je kunt procesmatige IT‑controls effectief inrichten, beoordelen en continue verbeteren * Je bent sterk in het testen van IT‑controls, het analyseren van resultaten en het helder rapporteren van bevindingen * Je communiceert overtuigend in zowel Nederlands en Engels en weet vanuit jouw expertise bruggen te slaan naar collega’s in andere vakgebieden * Je behoudt moeiteloos het overzicht over alle IT‑riskmanagement- en IT‑control processen en ziet snel waar samenhang ontbreekt * Je beschikt over een relevante afgeronde Hbo‑ of WO‑opleiding, zoals Riskmanagement, Cybersecurity, Cybercrime of een vergelijkbaar vakgebied * Je hebt affiniteit met (generatieve) AI en bent gemotiveerd om deze technologie actief toe te passen in je dagelijkse werk ## Additional Information * Brutomaandsalaris tussen € 4.165,- en € 6.845,- afhankelijk van je werkervaring, variabele prestatie beloning, een vaste onkostenvergoeding en een vaste thuiswerkvergoeding per gewerkte dag. * 30 vakantiedagen (op fulltime basis) en de mogelijkheid om meer dagen te kopen of je vakantiedagen te verkopen. * Bij KPMG werken we hybride, dus een combinatie van zowel thuis als op kantoor. * Een volledig ingerichte thuiswerkplek. * Vergoeding van je reiskosten met een NS business kaart of reiskostenvergoeding. * Een laptop en iPhone. * Een uitgebreid aanbod van trainingen en opleidingen die bijdragen aan jouw professionele en persoonlijke ontwikkeling. * Diversiteitsnetwerken op het gebied van pride, gender, ability, cultural diversity en generations die regelmatig verschillende activiteiten organiseren om verschil te vieren! * Aandacht voor vitaliteit! Sporten op het kantoor in Amstelveen of korting op een sportschool bij jou in de buurt én toegang tot coaching, gezondheids- en vitaliteitprogramma’s. * ‘Together’ is één van onze kernwaarden. Je kunt dus rekenen op verschillende sociale activiteiten zoals teamuitjes, borrels en evenementen samen met je collega’s.", "summaryDescription" : "IT Risk Manager at KPMG Nederland. Skills: IT risk management, GRC platform, Stakeholder management. Harmonize IT-riskmanagementprocesses. Implement Sofy GRC", "postedDate" : "2026-06-15T14:26:06.000", "createdAt" : "2026-06-15T23:58:00.897", "lastUpdated" : "2026-06-16T11:52:32.829", "ingestTimestamp" : "2026-06-15T23:58:00.897", "mongoId" : "6a306b59f292fd229cfd01db", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "IT controls", "Risk assessment", "Control testing", "Reporting findings", "IT risk management", "GRC platform", "Stakeholder management", "Risk management", "Process improvement", "Stakeholder advising", "Risk analysis", "Process structuring", "Risk mitigation", "Information security policy", "IT controls framework", "Sofy GRC" ], "skillCount" : 16, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3067a0f292fd229cfbfcc0", "title" : "CDD Risk Analyst", "company" : "Adyen", "industry" : "FinTech", "salary" : { "min" : 85000.0, "max" : 125000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level CDD Risk Analyst in Singapore's FinTech industry, adjusted for company size and industry." }, "location" : "Singapore", "locations" : [ "Singapore" ], "timestamp" : "2026-06-16T07:20:17.919", "fingerprint" : "a314c2d8e6864d11a164d9805c6cfddfa7bf5b9ac7619ab0add55fc33a94dd32", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/adyen/jobs/7985498", "externalId" : "7985498", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Singapore", "country" : "Singapore", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "1.2899175,103.8519072" } ], "locationText" : "Singapore, Singapore", "coreResponsibilities" : "Seek answers to unknowns", "teamCollaboration" : "Cross-functionally across operations; Cross-functionally across commercial; Cross-functionally across product; Cross-functionally across compliance; Across global teams", "qualificationsPreferred" : "Knowledge of Payments environment", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H you will also actively seek the answers of what you don’t know You have good communication and relationship-building skills, and can work cross-functionally across operations, commercial, product and compliance teams, including across global teams Knowledge of the Payments environment is a plus but not strictly required Our Diversity, Equity and Inclusion commitments Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen. Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application! What’s next? Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility. This role is based out of our Singapore office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.", "summaryDescription" : "CDD Risk Analyst at Adyen. Seek answers to unknowns", "postedDate" : "2026-06-15T23:29:21.793", "createdAt" : "2026-06-15T23:29:21.793", "lastUpdated" : "2026-06-16T07:20:17.919", "ingestTimestamp" : "2026-06-15T23:29:21.793", "mongoId" : "6a3067a0f292fd229cfbfcc0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "693c2b8770f0b99d5843fb34", "title" : "Sr. Security Intelligence Engineer, Threat Intelligence for Global Enterprise Response", "company" : "Amazon Development Centre Ireland Limited", "industry" : "Operations, IT, Support Engineering, Systems Security Engineering, amazon security", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Security Intelligence Engineer in Dublin, Ireland, adjusted for seniority and the technology industry." }, "location" : "Dublin, IRL", "locations" : [ "Dublin, IRL" ], "timestamp" : "2026-06-14T22:22:08.931", "fingerprint" : "e56b2c9433a5e849ebe6186f98d8e1cf7b6b92bc4bff3ffae466a720c0e0d367", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3139677/apply", "externalId" : "64cfed2e-d3a5-4b53-b5ff-ccc014d7d9db", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dublin", "country" : "Ireland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "53.3493795,-6.2605593" } ], "locationText" : "Dublin, Ireland", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, AWS", "professionalSkills" : [ "Threat intelligence analysis", "Question-driven analysis", "Analytic techniques", "Data analysis" ], "hardSkillsList" : [ "Cyber threat intelligence", "Actor TTPs analysis", "Database querying", "Statistical analysis", "Malware analysis", "Network flow analysis", "Data analysis" ], "hardSkills" : [ { "name" : "Cyber threat intelligence", "level" : "intermediate" }, { "name" : "Actor TTPs analysis", "level" : "intermediate" }, { "name" : "Database querying", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Malware analysis", "level" : "intermediate" }, { "name" : "Network flow analysis", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "majorSkills" : "Threat intelligence, Cyber threats, Data analysis", "majorSkillsList" : [ "Threat intelligence", "Cyber threats", "Data analysis" ], "coreResponsibilities" : "Perform deep dive analysis, Analyze malicious artifacts, Analyze large data sets, Discover new threats, Uncover trends, Identify anomalies, Create security techniques, Create automation, Contribute to threat landscape understanding, Draft threat intelligence products, Publish threat intelligence products", "teamCollaboration" : "Across teams", "domainKnowledge" : "Cyber threat actors; Advanced cyber threats; Malicious artifacts; Threat landscape; Techniques tactics procedures", "domainList" : [ "cyber-threat-actors", "advanced-cyber-threats", "malicious-artifacts", "threat-landscape", "techniques-tactics-procedures" ], "domainSpecificKnowledge" : [ "Cyber threat actors", "Advanced cyber threats", "Malicious artifacts", "Threat landscape", "Techniques tactics procedures" ], "toolProficiency" : [ "Synapse", "TIPs" ], "communicationSkills" : "Written threat intelligence", "innovationCreativity" : "Drive innovation", "problemSolvingSkills" : "Root cause analysis", "specialRequirements" : "On-call responsibilities, EU citizen", "outcomesObjectives" : "Uncover unknown threats; Drive innovation; Improve cyber threat intelligence", "qualificationsBasic" : "Bachelor's degree in Computer Science, Experience with SQL, Python scripting experience, 5+ years tracking threat groups, 5+ years system security expertise, 5+ years network security expertise, 5+ years application security expertise, Analytical skills, Investigative skills, EU citizen", "qualificationsPreferred" : "Master's degree, Windows internals understanding, Linux internals understanding, OS X internals understanding, Malware analysis experience, Network flow analysis experience, Large scale data analysis experience, Modern threat intelligence platforms experience, Vertex Project Synapse experience, TIPs APIs experience, AWS services experience, Automated tools Python experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are open to hiring candidates to work out of one of the following locations: Dublin, IE The Threat Intelligence for Global Enterprise Response (TIGER) team, part of Amazon Cyber Threat Intelligence (ACTI), is responsible for developing actionable intelligence on advanced cyber threats to Amazon employees and company assets. We obtain indicators and other intelligence from a variety of internal and external sources and use that information to develop an understanding of sophisticated actors and their tools, techniques, and procedures (TTPs). Our intelligence supports incident response teams, red teams, detections teams and teams working to prevent financial loss to the company. We leverage that understanding to proactively identify and mitigate malicious activity. The successful candidate will analyze both attributed and unattributed actor TTPs to generate intelligence and insights into current threats. A deep understanding of current cyber threat actors as well as experience performing question-driven analysis is required. As a Senior Security Intelligence Engineer, you will help enhance our capabilities by identifying new data sources, formulating new analytic techniques, and working across teams to drive their supporting capabilities. You will likewise work to harness expansive data sets and generate actionable and unique insights from them using database querying and statistical analysis. Your efforts will uncover previously-unknown threats and help drive innovation and continual improvement in the \"state-of-the-art\" of cyber threat intelligence analysis and dissemination at Amazon. Eligibility requirement To deliver enhanced operational resilience within the EU, only EU-citizen AWS employees who are located in the 44 EU will have control of the operations and support for the AWS European Sovereign Cloud. Key job responsibilities - Perform deep dive analysis of malicious artifacts. - Analyze large and unstructured data sets to discover new threats, uncover trends, and identify anomalies indicative of malicious activities. - Create security techniques and automation for internal use that enable you and others to operate at high speed and broad scale. - Contribute to Amazon's understanding of the current threat landscape and the techniques, tactics, and procedures associated with specific threats. - Draft and publish finished written threat intelligence products based on findings. - Periodic on-call responsibilities. About the team Why Amazon Security? At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. Inclusive Team Culture In Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices. Training & 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, training, 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. On-Call Responsibility This position involves on-call responsibilities, typically for one week every two months. We don’t like getting paged in the middle of the night or on the weekend, so we work to ensure that our systems are fault tolerant. When we do get paged, we work together to resolve the root cause so that we don’t get paged for the same issue twice. Basic Qualifications: - Bachelor's degree in Computer Science or a related field - Experience with SQL and Python scripting - Extensive experience tracking sophisticated cyber threat groups (5+ years) - Proven expertise in system, network, and application security (5+ years) - Strong analytical and investigative skills. - This role requires you to be a national of an EU member state. Preferred Qualifications: - Master's degree in Computer Science or a related field - Strong understanding of Windows, Linux, and or OS X internals - Experience with malware analysis, network flow analysis, and large scale data analysis. - Experience with modern threat intelligence platforms (TIPs), especially the Vertex Project's Synapse, and their APIs - Experience building and conducting analysis leveraging AWS services. Experience building automated tools in the Python programming language. 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" : "Sr. Security Intelligence Engineer, Threat Intelligence for Global Enterprise Response at Amazon Development Centre Ireland Limited. Skills: Threat intelligence, Cyber threats, Data analysis. Perform deep dive analysis. Analyze malicious artifacts", "postedDate" : "2026-06-13T00:18:08.316", "createdAt" : "2026-06-13T00:18:08.316", "lastUpdated" : "2026-06-14T22:22:08.931", "ingestTimestamp" : "2026-06-13T00:18:08.316", "mongoId" : "693c2b8770f0b99d5843fb34", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3139677/apply", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Cyber threat intelligence", "Actor TTPs analysis", "Database querying", "Statistical analysis", "Malware analysis", "Network flow analysis", "Data analysis", "Threat intelligence", "Cyber threats", "Threat intelligence analysis", "Question-driven analysis", "Analytic techniques", "Cyber threat actors", "Advanced cyber threats", "Malicious artifacts", "Threat landscape", "Techniques tactics procedures", "Synapse", "TIPs" ], "skillCount" : 19, "jobCategory" : "operations", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a307442f292fd229c005f33", "title" : "Manager, Risk & Governance", "company" : "Standard Bank Group", "industry" : "Financial Services", "salary" : { "min" : 750000.0, "max" : 1200000.0, "currency" : "ZAR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager, Risk & Governance in Roodepoort, South Africa, adjusted for the banking industry and Standard Bank Group's size and reputation." }, "location" : "Roodepoort, GP, ZA", "locations" : [ "Roodepoort", "GP", "ZA" ], "timestamp" : "2026-06-16T12:09:13.738", "fingerprint" : "8814f584ea19f612893c5b2c849abd7c27d8d80b4e748d2bd67da834e2ac6800", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/StandardBankGroup/744000132149485-manager-risk-governance", "externalId" : "744000132149485", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Roodepoort", "state" : "Gauteng", "country" : "South Africa", "continent" : "af", "source" : "llm", "workMode" : "onsite", "geo" : "-26.1563889,27.8858333" } ], "locationText" : "Roodepoort, Gauteng, South Africa", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Risk Identification, Risk Management, Risk Measurement, Risk Response Strategy", "professionalSkills" : [ "Risk governance", "Third Party Risk", "Strategic Risks", "Financial Risk", "Governance processes", "Combined Assurance" ], "hardSkillsList" : [ "Risk governance", "Third Party Risk", "Strategic Risks", "Financial Risk", "Governance processes", "Combined Assurance", "Compliance monitoring", "Auditing", "Policy drafting", "Risk assessment", "Risk reporting" ], "softSkillsList" : [ "Challenging Ideas", "Convincing People", "Documenting Facts", "Embracing Change", "Following Procedures", "Interacting with People", "Providing Insights", "Resolving Conflict", "Taking Action", "Thinking Positively", "Upholding Standards" ], "hardSkills" : [ { "name" : "Risk governance", "level" : "intermediate" }, { "name" : "Third Party Risk", "level" : "intermediate" }, { "name" : "Strategic Risks", "level" : "intermediate" }, { "name" : "Financial Risk", "level" : "intermediate" }, { "name" : "Governance processes", "level" : "intermediate" }, { "name" : "Combined Assurance", "level" : "intermediate" }, { "name" : "Compliance monitoring", "level" : "intermediate" }, { "name" : "Auditing", "level" : "intermediate" }, { "name" : "Policy drafting", "level" : "intermediate" }, { "name" : "Risk assessment", "level" : "intermediate" }, { "name" : "Risk reporting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Challenging Ideas" }, { "name" : "Convincing People" }, { "name" : "Documenting Facts" }, { "name" : "Embracing Change" }, { "name" : "Following Procedures" }, { "name" : "Interacting with People" }, { "name" : "Providing Insights" }, { "name" : "Resolving Conflict" }, { "name" : "Taking Action" }, { "name" : "Thinking Positively" }, { "name" : "Upholding Standards" } ], "majorSkills" : "Risk Governance, Third Party Risk, Strategic Risks, Financial Risk", "majorSkillsList" : [ "Risk Governance", "Third Party Risk", "Strategic Risks", "Financial Risk" ], "coreResponsibilities" : "Ensure sound governance in managing all risk types, Apply risk management in line with BU Risk, Apply risk management in line with Policies for, Apply risk management in line with Policies for, Focus on Third Party Risk, Monitor SIL’s third parties, Focus on Strategic Risks, Assist in SIL Own Risk and Solvency Assessment, Assist in various governance processes, Implement Combined Assurance", "teamCollaboration" : "Stakeholder engagement", "domainKnowledge" : "Insurance industry; SAM regulation; ORSA process; Risk management; Financial services sector; Banking sector; Governance processes; Codes of practice", "domainList" : [ "insurance-industry", "sam-regulation", "orsa-process", "risk-management", "financial-services-sector", "banking-sector", "governance-processes", "codes-of-practice" ], "domainSpecificKnowledge" : [ "Insurance industry", "SAM regulation", "ORSA process", "Risk management", "Financial services sector", "Banking sector", "Governance processes", "Codes of practice" ], "communicationSkills" : "Documenting Facts", "documentationSkills" : "Documenting Facts; Drafting policies; Drafting monitoring plans; Drafting working papers; Drafting monitoring reports", "problemSolvingSkills" : "Challenging Ideas; Resolving Conflict", "qualificationsBasic" : "B. Com Law/LLB or equivalent, Risk Management Degree or Internal Audit, 5-7 years compliance officer/auditor experience, 5-7 years business management/risk management experience, 5-7 years insurance industry experience, 5-7 years SAM regulation experience, 5-7 years ORSA process implementation experience, 5-7 years ORSA process reporting experience, 5-7 years policy drafting experience, 5-7 years risk management role experience, 5-7 years risk management supporting activities experience, 5-7 years periodic assessment of processes experience, 5-7 years maintenance of repositories of risk information experience, Governance processes of the bank requirements, Codes of practice requirements", "qualificationsPreferred" : "Experience with monitoring methodologies, Experience with end-to-end monitoring process, Experience with drafting monitoring plans, Experience with implementing monitoring plans, Experience with working papers, Experience with monitoring reports, Experience with tracking monitoring findings, Experience with closing monitoring findings, Experience in a financial services sector risk management role, Experience with risk management repositories", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Standard Bank Group is a leading Africa-focused financial services group, and an innovative player on the global stage, that offers a variety of career-enhancing opportunities – plus the chance to work alongside some of the sector’s most talented, motivated professionals. Our clients range from individuals, to businesses of all sizes, high net worth families and large multinational corporates and institutions. We’re passionate about creating growth in Africa. Bringing true, meaningful value to our clients and the communities we serve and creating a real sense of purpose for you. The purpose of this function is to ensure that sound governance is applied in managing all risk types within Standard Insurance Limited (SIL) in line with BU Risk Appetite and Policies for SIL and the Standard Bank Group, with specific focus Third Party Risk and monitoring of SIL’s third parties. This function will also require specific focus on Strategic Risks, including Financial Risk, assist in the SIL Own Risk and Solvency Assessment (ORSA) process and various governance processes including Combined Assurance. ## Qualifications Minimum Qualifications Type of Qualification: B.Com Law/LLB or equivalent, Risk Management Degree or Internal Audit Field of Study: Law, Business Commerce, Risk and Auditing Experience Required To facilitate the creation and adoption of appropriate risk governance, accountable to derive a standardised approach which enable principle based policies enabled by consistent guidelines for use by Stakeholders. 5-7 years experience on the following would represent an advantage to the role: * Experience as a compliance officer / auditor * Experience in business management / risk management * Insurance industry experience * Experience with SAM regulation and ORSA process implementation and reporting. Compliance monitoring / auditing experience, development or sound monitoring methodologies and owning the end-to-end monitoring process: drafting and implementing monitoring plans, working papers, monitoring reports and tracking and closing of monitoring findings until resolution. * Drafting and maintaining of policies, experience in a risk management role in the banking and/or financial services sector, risk management supporting activities, periodic assessment of processes to manage risk and the maintenance of repositories of risk information for knowledge management for reference purposes. Have in place the requirements of governance processes of the bank and the codes of practice which determine risk governance. ## Additional Information Behavioural Competencies: * Adopting Practical Approaches * Challenging Ideas * Convincing People * Documenting Facts * Embracing Change * Following Procedures * Interacting with People * Providing Insights * Resolving Conflict * Taking Action * Thinking Positively * Upholding Standards Technical Competencies: * Financial Industry Regulatory Framework * Risk Identification * Risk Management * Risk Measurement * Risk Response Strategy * Risk/ Reward Thinking", "summaryDescription" : "Manager, Risk & Governance at Standard Bank Group. Skills: Risk Governance, Third Party Risk, Strategic Risks, Financial Risk. Ensure sound governance in managing all risk types. Apply risk management in line with BU Risk", "postedDate" : "2026-06-15T09:06:15.000", "createdAt" : "2026-06-16T01:38:41.016", "lastUpdated" : "2026-06-16T12:09:13.738", "ingestTimestamp" : "2026-06-16T01:38:41.016", "mongoId" : "6a307442f292fd229c005f33", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Risk governance", "Third Party Risk", "Strategic Risks", "Financial Risk", "Governance processes", "Combined Assurance", "Compliance monitoring", "Auditing", "Policy drafting", "Risk assessment", "Risk reporting", "Challenging Ideas", "Convincing People", "Documenting Facts", "Embracing Change", "Following Procedures", "Interacting with People", "Providing Insights", "Resolving Conflict", "Taking Action", "Thinking Positively", "Upholding Standards", "Risk Governance", "Insurance industry", "SAM regulation", "ORSA process", "Risk management", "Financial services sector", "Banking sector", "Codes of practice" ], "skillCount" : 30, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Banking", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3068eef292fd229cfc60c3", "title" : "Manager, Risk & Governance", "company" : "Standard Bank Group", "industry" : "Financial Services", "salary" : { "min" : 750000.0, "max" : 1200000.0, "currency" : "ZAR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager, Risk & Governance in Roodepoort, South Africa, adjusted for the banking industry and Standard Bank Group's size and reputation." }, "location" : "Roodepoort, GP, ZA", "locations" : [ "Roodepoort", "GP", "ZA" ], "certifications" : [ "CFA", "CPA", "FRM", "Series 7", "Series 63", "Series 65", "CAIA", "CFP", "ACCA", "ACA" ], "timestamp" : "2026-06-16T12:22:16.472", "fingerprint" : "5d279ac19cc39b772b681a87538595eb75cee066b059a84f68b2e32d5a77a9e9", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/StandardBankGroup/744000132149485-manager-risk-governance", "externalId" : "744000132149485", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Roodepoort", "state" : "Gauteng", "country" : "South Africa", "continent" : "af", "source" : "llm", "workMode" : "onsite", "geo" : "-26.1563889,27.8858333" } ], "locationText" : "Roodepoort, Gauteng, South Africa", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Risk Identification, Risk Management, Risk Measurement, Risk Response Strategy", "professionalSkills" : [ "Risk governance", "Third Party Risk", "Strategic Risks", "Financial Risk", "Governance processes", "Combined Assurance" ], "hardSkillsList" : [ "Risk governance", "Third Party Risk", "Strategic Risks", "Financial Risk", "Governance processes", "Combined Assurance" ], "softSkillsList" : [ "Challenging Ideas", "Convincing People", "Embracing Change", "Following Procedures", "Interacting with People", "Providing Insights", "Resolving Conflict", "Taking Action", "Thinking Positively", "Upholding Standards" ], "hardSkills" : [ { "name" : "Risk governance", "level" : "intermediate" }, { "name" : "Third Party Risk", "level" : "intermediate" }, { "name" : "Strategic Risks", "level" : "intermediate" }, { "name" : "Financial Risk", "level" : "intermediate" }, { "name" : "Governance processes", "level" : "intermediate" }, { "name" : "Combined Assurance", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Challenging Ideas" }, { "name" : "Convincing People" }, { "name" : "Embracing Change" }, { "name" : "Following Procedures" }, { "name" : "Interacting with People" }, { "name" : "Providing Insights" }, { "name" : "Resolving Conflict" }, { "name" : "Taking Action" }, { "name" : "Thinking Positively" }, { "name" : "Upholding Standards" } ], "majorSkills" : "Risk Management, Governance, Compliance, Insurance", "majorSkillsList" : [ "Risk Management", "Governance", "Compliance", "Insurance" ], "coreResponsibilities" : "Ensure sound governance in managing risk types, Apply risk appetite and policies, Focus on Third Party Risk, Monitor third parties, Focus on Strategic Risks, Assist in SIL ORSA process, Assist in governance processes, Draft and implement monitoring plans, Create working papers, Produce monitoring reports, Track monitoring findings, Close monitoring findings, Draft policies, Maintain policies, Assess processes to manage risk, Maintain repositories of risk information, Ensure governance processes of the bank, Ensure codes of practice", "teamCollaboration" : "Stakeholders; Combined Assurance", "domainKnowledge" : "Insurance industry; SAM regulation; ORSA process; Financial services sector; Risk management", "domainList" : [ "insurance-industry", "sam-regulation", "orsa-process", "financial-services-sector", "risk-management" ], "domainSpecificKnowledge" : [ "Insurance industry", "SAM regulation", "ORSA process", "Financial services sector", "Risk management" ], "toolProficiency" : [ "Bloomberg Terminal", "Reuters Eikon", "FactSet", "Murex", "Calypso" ], "communicationSkills" : "Convincing People; Providing Insights", "documentationSkills" : "Documenting Facts; Drafting policies; Maintaining policies; Drafting monitoring plans; Monitoring reports", "problemSolvingSkills" : "Challenging Ideas; Resolving Conflict", "outcomesObjectives" : "Derive standardised approach for policies; Enable principle based policies; Enable consistent guidelines", "qualificationsBasic" : "B. Com Law/LLB or equivalent, Risk Management Degree or Internal Audit, 5-7 years experience compliance officer/auditor, 5-7 years experience business management/risk management, 5-7 years insurance industry experience, 5-7 years SAM regulation experience, 5-7 years ORSA process implementation experience, 5-7 years ORSA process reporting experience, Compliance monitoring experience, Auditing experience, Sound monitoring methodologies experience, Risk management role experience, Risk management supporting activities experience, Periodic assessment of processes experience, Maintenance of repositories of risk information experience", "qualificationsPreferred" : "CFA charterholder preferred, CPA preferred, FRM preferred, Series 7/63/65 preferred, CAIA preferred, CFP preferred, ACCA preferred, ACA preferred, Experience with Python, Experience with R, Experience with MATLAB, Experience with SQL, Experience with Bloomberg Terminal, Experience with Reuters Eikon, Experience with FactSet, Experience with Murex, Experience with Calypso", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Standard Bank Group is a leading Africa-focused financial services group, and an innovative player on the global stage, that offers a variety of career-enhancing opportunities – plus the chance to work alongside some of the sector’s most talented, motivated professionals. Our clients range from individuals, to businesses of all sizes, high net worth families and large multinational corporates and institutions. We’re passionate about creating growth in Africa. Bringing true, meaningful value to our clients and the communities we serve and creating a real sense of purpose for you. The purpose of this function is to ensure that sound governance is applied in managing all risk types within Standard Insurance Limited (SIL) in line with BU Risk Appetite and Policies for SIL and the Standard Bank Group, with specific focus Third Party Risk and monitoring of SIL’s third parties. This function will also require specific focus on Strategic Risks, including Financial Risk, assist in the SIL Own Risk and Solvency Assessment (ORSA) process and various governance processes including Combined Assurance. ## Qualifications Minimum Qualifications Type of Qualification: B.Com Law/LLB or equivalent, Risk Management Degree or Internal Audit Field of Study: Law, Business Commerce, Risk and Auditing Experience Required To facilitate the creation and adoption of appropriate risk governance, accountable to derive a standardised approach which enable principle based policies enabled by consistent guidelines for use by Stakeholders. 5-7 years experience on the following would represent an advantage to the role: * Experience as a compliance officer / auditor * Experience in business management / risk management * Insurance industry experience * Experience with SAM regulation and ORSA process implementation and reporting. Compliance monitoring / auditing experience, development or sound monitoring methodologies and owning the end-to-end monitoring process: drafting and implementing monitoring plans, working papers, monitoring reports and tracking and closing of monitoring findings until resolution. * Drafting and maintaining of policies, experience in a risk management role in the banking and/or financial services sector, risk management supporting activities, periodic assessment of processes to manage risk and the maintenance of repositories of risk information for knowledge management for reference purposes. Have in place the requirements of governance processes of the bank and the codes of practice which determine risk governance. ## Additional Information Behavioural Competencies: * Adopting Practical Approaches * Challenging Ideas * Convincing People * Documenting Facts * Embracing Change * Following Procedures * Interacting with People * Providing Insights * Resolving Conflict * Taking Action * Thinking Positively * Upholding Standards Technical Competencies: * Financial Industry Regulatory Framework * Risk Identification * Risk Management * Risk Measurement * Risk Response Strategy * Risk/ Reward Thinking", "summaryDescription" : "Manager, Risk & Governance at Standard Bank Group. Skills: Risk Management, Governance, Compliance, Insurance. Ensure sound governance in managing risk types. Apply risk appetite and policies", "postedDate" : "2026-06-15T09:06:15.000", "createdAt" : "2026-06-16T00:31:27.530", "lastUpdated" : "2026-06-16T12:22:16.472", "ingestTimestamp" : "2026-06-16T00:31:27.530", "mongoId" : "6a3068eef292fd229cfc60c3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Risk governance", "Third Party Risk", "Strategic Risks", "Financial Risk", "Governance processes", "Combined Assurance", "Challenging Ideas", "Convincing People", "Embracing Change", "Following Procedures", "Interacting with People", "Providing Insights", "Resolving Conflict", "Taking Action", "Thinking Positively", "Upholding Standards", "Risk Management", "Governance", "Compliance", "Insurance", "Insurance industry", "SAM regulation", "ORSA process", "Financial services sector", "Risk management", "CFA", "CPA", "FRM", "Series 7", "Series 63", "Series 65", "CAIA", "CFP", "ACCA", "ACA", "Bloomberg Terminal", "Reuters Eikon", "FactSet", "Murex", "Calypso" ], "skillCount" : 40, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Banking", "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, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services" }, { "id" : "6a307f8af292fd229c05a7ee", "title" : "Security Engineer III, AutoVM", "industry" : "Technology", "salary" : { "min" : 155000.0, "max" : 225000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Security Engineer III in Sunnyvale, United States, adjusted for the technology industry and typical compensation for a full-time, onsite role." }, "location" : "[Sunnyvale, CA, USA, [111 W Java Dr, Sunnyvale, CA 94089, USA], Sunnyvale, 94089, CA, US]", "locations" : [ "[Sunnyvale, CA, USA, [111 W Java Dr, Sunnyvale, CA 94089, USA], Sunnyvale, 94089, CA, US]" ], "timestamp" : "2026-06-16T11:44:06.691", "fingerprint" : "7e6715f034480270369f8bfe002c8e6d1658a3e1db830c419f5b9ab47b2258c0", "source" : "google", "language" : "en", "externalId" : "127518743008813766", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "summaryDescription" : "Security Engineer III, AutoVM", "postedDate" : "2026-06-16T01:50:25.715", "createdAt" : "2026-06-16T01:50:25.715", "lastUpdated" : "2026-06-16T11:44:06.691", "ingestTimestamp" : "2026-06-16T01:50:25.715", "mongoId" : "6a307f8af292fd229c05a7ee", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 225000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.5555556, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "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, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a0ab0721663d49372dc3d7a", "title" : "Summer Intern – Threat Intelligence", "company" : "FS-ISAC", "industry" : "Cybersecurity", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Summer Intern in the Cybersecurity industry in Reston, VA, adjusted for entry-level seniority and temporary employment." }, "location" : "Reston, VA", "locations" : [ "Reston", "VA" ], "timestamp" : "2026-06-16T02:18:32.219", "fingerprint" : "89fa0e5f5b698e34eb0f348f5985e48a87ecfcbce3887313c2ecc0c6ce23bc3d", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://fs-isac.breezy.hr/p/db8413c1c9ef-summer-intern-threat-intelligence-us", "externalId" : "db8413c1c9ef", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Reston", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "remote", "geo" : "38.9532820,-77.3464516" } ], "locationText" : "Reston, Virginia, United States", "employmentType" : "TEMPORARY", "domainKnowledge" : "Threat Intelligence", "domainList" : [ "threat-intelligence" ], "domainSpecificKnowledge" : [ "Threat Intelligence" ], "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "summaryDescription" : "Summer Intern – Threat Intelligence at FS-ISAC", "createdAt" : "2026-06-14T18:49:39.510", "lastUpdated" : "2026-06-16T02:18:32.219", "ingestTimestamp" : "2026-06-14T18:49:39.510", "mongoId" : "6a0ab0721663d49372dc3d7a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 45000, "salaryAnnualMax" : 65000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Threat Intelligence" ], "skillCount" : 1, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Cybersecurity", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305f6af292fd229cf7c7d5", "title" : "Sr. Security Engineer", "company" : "Intenseye", "industry" : "Engineering", "salary" : { "min" : 160000.0, "max" : 200000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "New York", "locations" : [ "New York" ], "timestamp" : "2026-06-16T15:35:42.185", "fingerprint" : "c3dc2e5bbb8d664d157de744b223afcd75334878aa4437bdba6b2458e5b352c7", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/intenseye/98eacf3c-0daf-4927-a8a8-bfdc49ebb2e4/apply", "externalId" : "98eacf3c-0daf-4927-a8a8-bfdc49ebb2e4", "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", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Description At Intenseye, we believe protecting people at work is non-negotiable. That’s why we’re building the world’s most advanced AI-powered platform for industrial environments, designed to help organizations move from reactive programs to proactive risk prevention across safety, operations, and quality management. Our technology gives enterprises the ability to see risk and inefficiency as they emerge, take action in real time, and prevent incidents before they happen. Powered by cutting-edge AI and Intenseye’s proprietary Sentinel hardware, our platform delivers ethical, highly accurate intelligence across complex worksites. EHS, operations, and quality teams gain continuous leading indicators, deep operational insight, and unprecedented visibility into how work actually happens. Today, Intenseye helps protect hundreds of thousands of workers across 25+ countries—and we’re just getting started. The Role As our first security hire, you’ll build our security function from the ground up: defining the architecture, owning compliance, protecting our AI platform and customer data, and establishing a security-first culture. You’ll report directly to the CTO. We’re looking for someone who is deeply technical and ready to own the security function end-to-end. As our first security hire, you’ll cover a lot of ground—writing policy, reviewing code, responding to customer security questionnaires, and hands-on infrastructure work. This role is a strong fit for someone who is: A founder-minded builder: you’re energized by creating security infrastructure from scratch, not inheriting a mature program—and you take full ownership of outcomes. Technically deep and strategically broad: you can write policy and write code. You can threat-model a distributed AI system and present risk to leadership in the same week. Pragmatically risk-driven: you understand that startups must move fast, and you find ways to reduce risk without becoming a blocker—earning trust across engineering and product by being a partner, not a gatekeeper. Thinking beyond the technical: you’ve started to think about governance, organizational resilience, and how security creates competitive advantage at the enterprise level. A clear, confident communicator: you can simplify complex risk for the CEO, rally engineers around secure-by-default practices, and represent Intenseye’s security posture to enterprise customers and prospects. ## What you’ll do Architect and build Intenseye’s security program end-to-end: cloud infrastructure security, application security, data protection, endpoint, and identity. Own our compliance roadmap—including SOC 2 Type II, ISO 27001, and GDPR—and drive it to completion, partnering with legal, finance, and customer success. Embed security into the SDLC: define secure coding standards, introduce SAST/DAST tooling, and partner with engineering to make secure-by-default the norm. Build and run incident response: design our monitoring and alerting stack, write the playbooks, and lead the response when things go wrong. Own IAM strategy across internal systems, cloud infrastructure, and customer-facing platforms. Lead threat modeling and vulnerability management—working with engineering to prioritize and remediate across a complex, globally distributed system. Be the face of security to enterprise customers: own security questionnaires, due diligence reviews, and executive-level conversations about our security posture. Advise the CTO and executive team on security risk, investment, and strategy as the function matures. ## What we’re looking for 8+ years in security engineering, with meaningful experience owning or significantly shaping a security function—not just executing within one. Deep hands-on expertise in cloud security (GCP strongly preferred): network security, IAM, secrets management, container security (Kubernetes/Docker), and cloud-native threat detection. Strong application security fundamentals: OWASP Top 10, secure SDLC, API security, and experience integrating SAST/DAST into CI/CD pipelines. Proven experience driving a compliance program through completion (SOC 2 Type II, ISO 27001, or equivalent)—not just supporting it. Solid grasp of data privacy (GDPR, CCPA) and the ability to work cross-functionally with legal and GTM teams on customer-facing requirements. Experience with modern security tooling: SIEM, EDR, CSPM, vulnerability scanners (e.g., Wiz, Crowdstrike, Datadog Security, or equivalents). Demonstrated ability to communicate security risk at the executive level—written and verbal. Experience leading a cross-functional initiative. Prior startup experience is required- high ownership, high velocity, pragmatic judgment. Experience securing physical hardware deployments: device hardening, firmware security, secure boot, and managing the security lifecycle of hardware deployed in customer environments. Bonus: experience with AI/ML platform security, industrial IoT, or edge computing environments; ## Additional Information Intenseye is proud to be an Equal Opportunity Employer. We are committed to building a diverse, inclusive, and equitable workplace where every team member feels valued and empowered. We recruit, hire, train, compensate, and promote without regard to race, color, age, sex, ancestry, marital status, religion, national origin, physical or mental disability, sexual orientation, gender identity or expression, medical condition, pregnancy, veteran status, genetic information, or any other characteristic protected by applicable law. We know that not everyone will meet 100% of the listed qualifications, and that’s OK. Research shows that individuals from underrepresented groups often hesitate to apply unless they meet every criterion. If you’re excited about our mission and believe you can have an impact in this role, we strongly encourage you to apply. Your experience, skills, and perspective may be exactly what we’re looking for.", "summaryDescription" : "Sr. Security Engineer at Intenseye", "postedDate" : "2026-06-15T13:03:33.343", "createdAt" : "2026-06-15T13:03:33.343", "lastUpdated" : "2026-06-16T15:35:42.185", "ingestTimestamp" : "2026-06-16T03:21:53.722", "mongoId" : "6a305f6af292fd229cf7c7d5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 200000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "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, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a308ec6f292fd229c0a5232", "title" : "Senior Risk Analyst", "company" : "Western Digital", "industry" : "Computer Hardware", "salary" : { "min" : 115000.0, "max" : 175000.0, "currency" : "MYR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Risk Analyst in Petaling Jaya, Malaysia, adjusted for seniority and the technology industry." }, "location" : "Petaling Jaya, Selangor, MY", "locations" : [ "Petaling Jaya", "Selangor", "MY" ], "timestamp" : "2026-06-16T11:15:01.469", "fingerprint" : "19031d4fd60ab3f757059d250a30041624320f9e09aa888febae69c02ec2ab07", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/WesternDigital/744000132106385-senior-risk-analyst", "externalId" : "744000132106385", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Petaling Jaya", "state" : "Selangor", "country" : "Malaysia", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "3.0988792,101.6454202" } ], "locationText" : "Petaling Jaya, Selangor, Malaysia", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "professionalSkills" : [ "Risk management", "Loss prevention", "Business continuity", "Crisis management", "Property risk improvement" ], "hardSkillsList" : [ "Risk assessment", "Loss control", "Insurance underwriting" ], "hardSkills" : [ { "name" : "Risk assessment", "level" : "intermediate" }, { "name" : "Loss control", "level" : "intermediate" }, { "name" : "Insurance underwriting", "level" : "intermediate" } ], "majorSkills" : "Business continuity, Crisis management, Risk management, Property loss prevention", "majorSkillsList" : [ "Business continuity", "Crisis management", "Risk management", "Property loss prevention" ], "coreResponsibilities" : "Design resilience program, Implement resilience program, Maintain resilience program, Improve resilience program, Develop enterprise-wide training, Deliver enterprise-wide training, Conduct tabletop exercises, Conduct functional exercises, Conduct full-scale exercises, Develop post-exercise improvement plans, Develop post-incident improvement plans, Serve as central coordinator, Act as primary point of contact, Lead as Incident Commander, Lead as Deputy Incident Commander, Establish command structure, Direct cross-functional response teams, Manage internal communications, Manage external communications, Maintain situational awareness, Lead after-action reviews, Drive lessons-learned into enhancements, Monitor resilience KPIs, Report on resilience KPIs, Monitor resilience KRIs, Report on resilience KRIs, Maintain alignment with ISO 22301, Identify risk-improvement recommendations, Prioritize risk-improvement recommendations, Execute risk-improvement recommendations, Coordinate site risk assessments, Track completion of recommendations, Support insurance underwriting outcomes, Recommend protective equipment investments, Approve protective equipment investments, Recommend loss-control investments, Approve loss-control investments, Support data collection for renewals, Support data validation for renewals, Support property claims, Support casualty claims, Review contracts for insurance, Review leases for insurance, Review agreements for insurance, Review contracts for indemnification, Review leases for indemnification, Review agreements for indemnification, Maintain awareness of global risk conditions, Maintain awareness of emerging risks, Provide risk management guidance", "teamCollaboration" : "Cross-functional response teams; Executive leadership; Operations; External risk engineers; Insurance carriers; Corporate risk management team", "domainKnowledge" : "Business continuity; Crisis management; Organizational resilience; Property risk; Loss prevention; ISO 22301; Safety engineering; Environmental engineering; Construction practices; OSHA rulings; Labor law; Fire codes", "domainList" : [ "business-continuity", "crisis-management", "organizational-resilience", "property-risk", "loss-prevention", "iso-22301", "safety-engineering", "environmental-engineering", "construction-practices", "osha-rulings", "labor-law", "fire-codes" ], "domainSpecificKnowledge" : [ "Business continuity", "Crisis management", "Organizational resilience", "Property risk", "Loss prevention", "ISO 22301", "Safety engineering", "Environmental engineering", "Construction practices", "OSHA rulings", "Labor law", "Fire codes" ], "toolProficiency" : [ "Everbridge", "Crisis24", "Alert Media" ], "communicationSkills" : "Internal communications; External communications", "problemSolvingSkills" : "Root cause analysis", "specialRequirements" : "Domestic travel 15-25%, International travel 15-25%", "outcomesObjectives" : "Reduce impact to people; Reduce impact to operations; Reduce impact to reputation; Reduce impact to financial performance", "qualificationsBasic" : "7+ years experience in business continuity, 7+ years experience in crisis management, 7+ years experience in risk management, 7+ years experience in property loss prevention", "qualificationsPreferred" : "Experience in manufacturing environment, Experience serving in an Incident Command role, Experience serving in a Crisis Leadership role, Familiarity with resilience platforms", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At WD, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, WD is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we’ve been doing just that—our technology helped people put a man on the moon and capture the first-ever picture of a black hole. We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital®, WD®, and WD_BLACK™. We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world’s biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, WD is fueling a brighter, smarter future. Today’s exceptional challenges require your unique skills. Together, we can build the future of data storage. This role can be based in Malaysia/ Thailand/Singapore/Philippines. Summary Enterprise Resilience & Business Continuity manager serves as the company’s central coordinator and subject-matter expert for all aspects of business continuity, crisis management, and organizational resilience. This enterprise-wide role is responsible for designing, implementing, maintaining, and continuously improving a robust, integrated resilience program that enables the organization to prepare for, respond to, and recover from disruptive events with minimal impact to people, operations, reputation, and financial performance. In business-as-usual state, the role functions as a lead global Business Continuity Program Owner. During major incidents or crises, the incumbent serves as Incident Commander (or Deputy) within the enterprise crisis management framework, providing unified command, coordination, and communication across all affected functions. Because major incident response is not full-time, the position also performs other risk and insurance duties including property risk improvement and loss prevention for the company’s global manufacturing and operational assets in close partnership with operations, external risk engineers, and insurance carriers. Essential Duties and Responsibilities * Consultation and support for the Business Continuity, including business impact analyses (BIAs), recovery strategies, crisis management plans, and supporting policies/tools. * Develop and deliver enterprise-wide training, tabletop/functional/full-scale exercises, and post-exercise or post-incident improvement plans. * Serve as central coordinator and primary point of contact for resilience-related activities across business units, regions, and corporate functions. * During disruptions, activate and lead as Incident Commander (or Deputy), establishing command structure, directing cross-functional response teams, managing internal/external communications, and maintaining situational awareness in collaboration with executive leadership. * Lead after-action reviews and drive lessons-learned into program enhancements * Monitor and report on resilience KPIs/KRIs; maintain alignment with standards such as ISO 22301, and applicable regulatory requirements Property and Risk Engineering Duties * Partner with manufacturing sites, external risk engineers, and insurance partners to identify, prioritize, and execute risk-improvement recommendations that reduce property and casualty exposures. * Coordinate site risk assessments, track completion of recommendations, and support favorable insurance underwriting outcomes. * Recommend and approve major protective equipment and loss-control investments. General Risk Management Support * Support collection and validation of data for annual insurance renewals in collaboration with the corporate risk management team. * Support property and casualty claims as needed. * Review contracts, leases, and agreements for appropriate insurance and indemnification provisions. * Maintain awareness of global risk conditions and emerging risks that could impact the corporation. * Provide risk management guidance to subsidiaries and international offices. Other Duties * Domestic and international travel 15-25% (site visits, exercises, insurance meetings, incident response). * Perform other related duties as assigned. ## Qualifications To perform this job satisfactorily, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill and/or abilities required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Required * Bachelor’s Degree in Risk Management, Business Continuity, Emergency Management, Insurance, Engineering, or related field Preferred * Experience with resilience platforms like Everbridge, Crisis24, Alert Media etc. preferred * 7+ years of progressive experience in business continuity, crisis management, risk management, or property loss prevention (manufacturing environment strongly preferred) * Experience serving in an Incident Command / Crisis Leadership role highly desirable. Skills * Insurance terminology * Regulatory Compliance and Standards as it relates to Business Continuity and Crisis Response * Familiarity with safety and environmental engineering, construction practices, OSHA rulings, labor law, building costs and fire codes. * Ability to leverage AI enabled applications to improve efficiency, decision making, and workflow automation ## Additional Information #LI-MC1 WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [jobs.accommodations@wdc.com](mailto:staffingsupport@wdc.com) to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to [WD Ethics Helpline](https://secure.ethicspoint.com/domain/media/en/gui/48999/index.html) or email [compliance@wdc.com](mailto:compliance@wdc.com).", "summaryDescription" : "Senior Risk Analyst at Western Digital. Skills: Business continuity, Crisis management, Risk management, Property loss prevention. Design resilience program. Implement resilience program", "postedDate" : "2026-06-15T02:53:44.000", "createdAt" : "2026-06-16T03:32:32.951", "lastUpdated" : "2026-06-16T11:15:01.469", "ingestTimestamp" : "2026-06-16T03:32:32.951", "mongoId" : "6a308ec6f292fd229c0a5232", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Risk assessment", "Loss control", "Insurance underwriting", "Business continuity", "Crisis management", "Risk management", "Property loss prevention", "Loss prevention", "Property risk improvement", "Organizational resilience", "Property risk", "ISO 22301", "Safety engineering", "Environmental engineering", "Construction practices", "OSHA rulings", "Labor law", "Fire codes", "Everbridge", "Crisis24", "Alert Media" ], "skillCount" : 21, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a304f24f292fd229cee57d9", "title" : "Senior Risk Analyst", "company" : "Western Digital", "industry" : "Computer Hardware", "salary" : { "min" : 115000.0, "max" : 175000.0, "currency" : "MYR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Risk Analyst in Petaling Jaya, Malaysia, adjusted for seniority and technology industry." }, "location" : "Petaling Jaya, Selangor, MY", "locations" : [ "Petaling Jaya", "Selangor", "MY" ], "timestamp" : "2026-06-16T04:37:15.596", "fingerprint" : "70327231ed7fde01047a99c50a4b350253742df4452cf3f3dceda0f6e34b2bc0", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/WesternDigital/744000132106385-senior-risk-analyst", "externalId" : "744000132106385", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Petaling Jaya", "state" : "Selangor", "country" : "Malaysia", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "3.0988792,101.6454202" } ], "locationText" : "Petaling Jaya, Selangor, Malaysia", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "professionalSkills" : [ "Risk engineering", "Loss prevention" ], "hardSkillsList" : [ "Business impact analyses", "Recovery strategies", "Crisis management plans", "Risk improvement recommendations", "Site risk assessments", "Insurance underwriting", "Loss-control investments", "Data validation", "Contract review", "Lease review", "Indemnification provisions" ], "hardSkills" : [ { "name" : "Business impact analyses", "level" : "intermediate" }, { "name" : "Recovery strategies", "level" : "intermediate" }, { "name" : "Crisis management plans", "level" : "intermediate" }, { "name" : "Risk improvement recommendations", "level" : "intermediate" }, { "name" : "Site risk assessments", "level" : "intermediate" }, { "name" : "Insurance underwriting", "level" : "intermediate" }, { "name" : "Loss-control investments", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Contract review", "level" : "intermediate" }, { "name" : "Lease review", "level" : "intermediate" }, { "name" : "Indemnification provisions", "level" : "intermediate" } ], "majorSkills" : "Business continuity, Crisis management, Organizational resilience, Property risk", "majorSkillsList" : [ "Business continuity", "Crisis management", "Organizational resilience", "Property risk" ], "coreResponsibilities" : "Consult and support business continuity, Develop enterprise-wide training, Deliver tabletop exercises, Deliver functional exercises, Deliver full-scale exercises, Develop post-exercise improvement plans, Develop post-incident improvement plans, Serve as central coordinator for resilience, Act as primary point of contact for resilience, Lead as Incident Commander during disruptions, Lead as Deputy Incident Commander during disruptions, Establish command structure during disruptions, Direct cross-functional response teams, Manage internal communications during disruptions, Manage external communications during disruptions, Maintain situational awareness during disruptions, Lead after-action reviews, Drive lessons-learned into program enhancements, Monitor resilience KPIs, Report on resilience KPIs, Monitor resilience KRIs, Report on resilience KRIs, Maintain alignment with ISO 22301, Identify risk-improvement recommendations, Prioritize risk-improvement recommendations, Execute risk-improvement recommendations, Coordinate site risk assessments, Track completion of recommendations, Support favorable insurance underwriting, Recommend protective equipment investments, Approve protective equipment investments, Recommend loss-control investments, Approve loss-control investments, Support data collection for insurance renewals, Support data validation for insurance renewals, Support property claims, Support casualty claims, Review contracts for insurance provisions, Review contracts for indemnification provisions, Review leases for insurance provisions, Review leases for indemnification provisions, Review agreements for insurance provisions, Review agreements for indemnification provisions, Maintain awareness of global risk conditions, Maintain awareness of emerging risks, Provide risk management guidance to subsidiaries, Provide risk management guidance to international offices", "teamCollaboration" : "Partner with manufacturing sites; Partner with external risk engineers; Partner with insurance carriers; Collaborate with corporate risk management; Collaborate with executive leadership", "domainKnowledge" : "Business continuity; Crisis response; Property risk; Casualty exposure; Loss prevention; ISO 22301", "domainList" : [ "business-continuity", "crisis-response", "property-risk", "casualty-exposure", "loss-prevention", "iso-22301" ], "domainSpecificKnowledge" : [ "Business continuity", "Crisis response", "Property risk", "Casualty exposure", "Loss prevention", "ISO 22301" ], "specialRequirements" : "15-25% travel", "qualificationsBasic" : "7+ years experience in business continuity, 7+ years experience in crisis management, 7+ years experience in risk management, 7+ years experience in property loss prevention", "qualificationsPreferred" : "Experience in manufacturing environment, Experience serving in an Incident Command role, Experience serving in a Crisis Leadership role, Familiarity with resilience platforms like Everbridge, Familiarity with resilience platforms like Crisis24, Familiarity with resilience platforms like Alert Media", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At WD, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, WD is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we’ve been doing just that—our technology helped people put a man on the moon and capture the first-ever picture of a black hole. We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital®, WD®, and WD_BLACK™. We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world’s biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, WD is fueling a brighter, smarter future. Today’s exceptional challenges require your unique skills. Together, we can build the future of data storage. This role can be based in Malaysia/ Thailand/Singapore/Philippines. Summary Enterprise Resilience & Business Continuity manager serves as the company’s central coordinator and subject-matter expert for all aspects of business continuity, crisis management, and organizational resilience. This enterprise-wide role is responsible for designing, implementing, maintaining, and continuously improving a robust, integrated resilience program that enables the organization to prepare for, respond to, and recover from disruptive events with minimal impact to people, operations, reputation, and financial performance. In business-as-usual state, the role functions as a lead global Business Continuity Program Owner. During major incidents or crises, the incumbent serves as Incident Commander (or Deputy) within the enterprise crisis management framework, providing unified command, coordination, and communication across all affected functions. Because major incident response is not full-time, the position also performs other risk and insurance duties including property risk improvement and loss prevention for the company’s global manufacturing and operational assets in close partnership with operations, external risk engineers, and insurance carriers. Essential Duties and Responsibilities * Consultation and support for the Business Continuity, including business impact analyses (BIAs), recovery strategies, crisis management plans, and supporting policies/tools. * Develop and deliver enterprise-wide training, tabletop/functional/full-scale exercises, and post-exercise or post-incident improvement plans. * Serve as central coordinator and primary point of contact for resilience-related activities across business units, regions, and corporate functions. * During disruptions, activate and lead as Incident Commander (or Deputy), establishing command structure, directing cross-functional response teams, managing internal/external communications, and maintaining situational awareness in collaboration with executive leadership. * Lead after-action reviews and drive lessons-learned into program enhancements * Monitor and report on resilience KPIs/KRIs; maintain alignment with standards such as ISO 22301, and applicable regulatory requirements Property and Risk Engineering Duties * Partner with manufacturing sites, external risk engineers, and insurance partners to identify, prioritize, and execute risk-improvement recommendations that reduce property and casualty exposures. * Coordinate site risk assessments, track completion of recommendations, and support favorable insurance underwriting outcomes. * Recommend and approve major protective equipment and loss-control investments. General Risk Management Support * Support collection and validation of data for annual insurance renewals in collaboration with the corporate risk management team. * Support property and casualty claims as needed. * Review contracts, leases, and agreements for appropriate insurance and indemnification provisions. * Maintain awareness of global risk conditions and emerging risks that could impact the corporation. * Provide risk management guidance to subsidiaries and international offices. Other Duties * Domestic and international travel 15-25% (site visits, exercises, insurance meetings, incident response). * Perform other related duties as assigned. ## Qualifications To perform this job satisfactorily, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill and/or abilities required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Required * Bachelor’s Degree in Risk Management, Business Continuity, Emergency Management, Insurance, Engineering, or related field Preferred * Experience with resilience platforms like Everbridge, Crisis24, Alert Media etc. preferred * 7+ years of progressive experience in business continuity, crisis management, risk management, or property loss prevention (manufacturing environment strongly preferred) * Experience serving in an Incident Command / Crisis Leadership role highly desirable. Skills * Insurance terminology * Regulatory Compliance and Standards as it relates to Business Continuity and Crisis Response * Familiarity with safety and environmental engineering, construction practices, OSHA rulings, labor law, building costs and fire codes. * Ability to leverage AI enabled applications to improve efficiency, decision making, and workflow automation ## Additional Information #LI-MC1 WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [jobs.accommodations@wdc.com](mailto:staffingsupport@wdc.com) to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to [WD Ethics Helpline](https://secure.ethicspoint.com/domain/media/en/gui/48999/index.html) or email [compliance@wdc.com](mailto:compliance@wdc.com).", "summaryDescription" : "Senior Risk Analyst at Western Digital. Skills: Business continuity, Crisis management, Organizational resilience, Property risk. Consult and support business continuity. 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Move the World with Us! At Atlas Air Worldwide, we’re not just an airline, we’re a global engine powering cargo, passenger, and leasing operations across more than 70 countries. As a leader in outsourced aviation logistics, we’re built on a foundation of safety, service excellence, integrity, innovation, teamwork, and responsibility. With over 30 years of history, a modern all-Boeing fleet, and nearly 5,000 teammates collaborating across operations, technical, and corporate functions, we’re driven by purpose. If you're ready to grow, innovate, and help us deliver excellence every single day, you belong here. This position is responsible for assisting in administering the company’s various insurance coverages; reviewing vendor contract wording related to indemnification, and for accounting/analyzing the associated insurance premiums and expenses. Insurance placements include property, cyber, worker’s comp, aircraft hull deductible; aviation all risk (hull war risk hull perform financial variance analyses; liaise with Corp. Acct on all insurance and claim expense matters; assist in the preparation of annual Insurance Budget. Investigate, validate and settle passenger baggage claims. Liaise with insurance captive admin for accounting for baggage settlements. File for recovery under AAWW’s aviation insurance. Assist Director, Risk Management in all matters of aviation insurance and risk management. Review and approve vendor contract wording related to Insurance and Indemnification Oversee claims activity as assigned by Director, Risk Management Maintain current on insurance developments, markets and best practices. Qualifications: 2 – 3 years’ experience in a similar position or related experience (ARM, CPCU, P we lift ambition.", "summaryDescription" : "Sr Risk & Insurance Analyst at Atlas Air", "postedDate" : "2026-06-13T21:28:20.311", "createdAt" : "2026-06-13T21:28:20.311", "lastUpdated" : "2026-06-15T11:48:31.327", "ingestTimestamp" : "2026-06-13T21:28:20.311", "mongoId" : "6a2c6ac174d8ee00a090db9d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Aviation insurance", "Property insurance", "Cyber insurance", "Worker's comp", "Aircraft hull", "War risk hull", "Insurance captive", "ARM", "CPCU" ], "skillCount" : 9, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "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, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Transportation" }, { "id" : "69e104412beec4dd3def2762", "title" : "Security Engineer, Perimeter Threat Research Team", "company" : "Amazon Data Services, Inc.", "industry" : "Systems, Quality, Security Engineering, Systems Security Engineering, Cloud Computing", "salary" : { "min" : 159300.0, "max" : 202400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T01:05:41.983", "fingerprint" : "56a4a4f59e72ee4c3859b1cf89e517445ef6f4d614f3bd67a1d68a99ae806b23", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10386669/apply", "externalId" : "116964fe-d709-4df8-bead-4e9f1321fda1", "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", "technicalSkills" : "Python, Ruby, Go, Swift, Java, .Net, C++, IDA Pro, Ghidra, x64dbg, Wireshark, Zeek, NetFlow", "professionalSkills" : [ "Application security", "Network security", "Malware reverse engineering", "Threat hunting", "DDoS mitigation", "Botnet research", "Traffic analysis", "Cyber security trends" ], "hardSkillsList" : [ "Malware analysis", "Static analysis", "Dynamic analysis", "Vulnerability identification", "Hypothesis-driven approaches", "Behavioral analytics", "Detection rule crafting", "Command-and-control communication", "Attack vector research" ], "hardSkills" : [ { "name" : "Malware analysis", "level" : "intermediate" }, { "name" : "Static analysis", "level" : "intermediate" }, { "name" : "Dynamic analysis", "level" : "intermediate" }, { "name" : "Vulnerability identification", "level" : "intermediate" }, { "name" : "Hypothesis-driven approaches", "level" : "intermediate" }, { "name" : "Behavioral analytics", "level" : "intermediate" }, { "name" : "Detection rule crafting", "level" : "intermediate" }, { "name" : "Command-and-control communication", "level" : "intermediate" }, { "name" : "Attack vector research", "level" : "intermediate" } ], "majorSkills" : "Application security, Network security, Threat intelligence, Malware analysis", "majorSkillsList" : [ "Application security", "Network security", "Threat intelligence", "Malware analysis" ], "coreResponsibilities" : "Research threats, Deliver actionable threat indicators, Disrupt threats, Analyze malicious software, Identify malware behavior, Identify indicators of compromise, Identify and mitigate vulnerabilities, Proactively detect adversarial activity, Analyze botnet infrastructure, Identify botnet propagation techniques, Research emerging botnet families, Monitor emerging threats, Transform raw intelligence into insights", "teamCollaboration" : "Collaborating with software engineers; Collaborating with other engineers; Collaborating with talented colleagues", "projectManagementSkills" : [ "Agile development environment" ], "domainKnowledge" : "Web application security; OWASP methodologies; Network security; DDoS mitigation; Botnet infrastructure; Command-and-control communication; Threat intelligence frameworks; MITRE ATT&CK; STIX/TAXII standards; AWS security; AWS networking services; Distributed networks", "domainList" : [ "web-application-security", "owasp-methodologies", "network-security", "ddos-mitigation", "botnet-infrastructure", "command-and-control-communication", "threat-intelligence-frameworks", "mitre-att-ck", "stix-taxii-standards", "aws-security", "aws-networking-services", "distributed-networks" ], "domainSpecificKnowledge" : [ "Web application security", "OWASP methodologies", "Network security", "DDoS mitigation", "Botnet infrastructure", "Command-and-control communication", "Threat intelligence frameworks", "MITRE ATT&CK", "STIX/TAXII standards", "AWS security", "AWS networking services", "Distributed networks" ], "toolProficiency" : [ "IDA Pro", "Ghidra", "x64dbg", "Burp Suite", "Wireshark", "Zeek" ], "continuousLearning" : "Learn how products work; Learn where products go", "innovationCreativity" : "Research threats in innovative ways", "problemSolvingSkills" : "Troubleshooting systems issues; Analyzing logs; Automating basic tasks; Hypothesis-driven approaches; Behavioral analytics", "qualificationsBasic" : "3+ years programming in Python, Ruby, Go, Swift, Java, .Net, C++, 2+ years scripting, programming, security code review, 2+ years troubleshooting systems issues, analyzing logs, automating tasks, Bachelor's degree in computer science or equivalent, Bachelor's degree in STEM field or 2+ years IT Security experience, Knowledge of networking protocols, Knowledge of security vulnerabilities and remediation", "qualificationsPreferred" : "2+ years threat modeling, secure coding, identity management, software development, cryptography, system administration, network security, 2+ years scripting, programming, or security code review in Python, Java or C++, Knowledge of command line tools, Knowledge of networking protocols, Experience with AWS products and services", "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. The AWS Threat Research Team is responsible for publishing a rich source of AWS home-grown threat intelligence for AWS services and customers. We are looking for talented, creative and passionate Security Engineers to help us research threats in innovative ways to deliver actionable threat indicators and disrupt threats. The AWS Threat Research Team (TRT) is looking for a security engineer with deep expertise in application and network security who is passionate about research, advocacy, and protecting large-scale, production applications. As a part of this role, you will: * Learn how our products work today, and where we want to take them in the future * Help craft and build out threat data gathering security systems at scale * Stay on top of cyber security trends and mentor other engineers in the same * Act as a technical lead, influencing other engineers’ designs and coding deliverables * Work in an agile development environment, collaborating closely with software engineers * Have fun in a challenging but rewarding environment We believe that a diverse group of people with different backgrounds and experiences are essential to invention and we therefore do all we can to attract and nurture diversity in our team. As an Amazonian you will learn from and collaborate with talented colleagues across the globe. If this sounds like the opportunity for you, come build with us! Key job responsibilities The ideal candidate must demonstrate strong proficiency in malware reverse engineering, including the ability to analyze, disassemble, and deconstruct malicious software using industry-standard tools such as IDA Pro, Ghidra, and debuggers like x64dbg. Experience with static and dynamic analysis techniques is essential for identifying malware behavior, capabilities, and indicators of compromise. A solid foundation in web application security is required, including expertise in identifying and mitigating vulnerabilities such as SQL injection, cross-site scripting (XSS), and authentication flaws. Familiarity with OWASP methodologies and tools like Burp Suite is expected. Candidates must possess advanced threat hunting capabilities, leveraging hypothesis-driven approaches and behavioral analytics to proactively detect adversarial activity within enterprise environments. Proficiency in crafting custom detection rules and queries across SIEM platforms is essential. A comprehensive understanding of network security is required, with a strong emphasis on DDoS mitigation and botnet research. The candidate must have experience analyzing botnet infrastructure, understanding command-and-control communication protocols, and identifying botnet propagation techniques. Proficiency in traffic analysis, volumetric attack pattern recognition, and DDoS defense strategies is essential. Hands-on experience with packet capture tools such as Wireshark, Zeek, and NetFlow analysis platforms is expected, along with the ability to research emerging botnet families and their evolving attack vectors. A working knowledge of threat intelligence frameworks such as MITRE ATT&CK and familiarity with STIX/TAXII standards is preferred. About the team The AWS Perimeter Protection Threat Research Team produces actionable threat intelligence that drives AWS security and networking services, including AWS Shield, AWS WAF, AWS Firewall Manager, and Network Firewall. Our diverse team of security researchers and engineers operates advanced deception technology and threat intelligence systems to identify, track, and analyze bad actors as they continuously evolve their tactics, techniques, and procedures. We proactively monitor emerging threats across some of the largest distributed networks in the world, transforming raw intelligence into meaningful insights that strengthen AWS defenses. If you're passionate about outsmarting adversaries and shaping the future of cloud security at scale, we'd love to have you join us. Basic Qualifications: - 3+ years of programming in Python, Ruby, Go, Swift, Java, .Net, C++ or similar object oriented language experience - 2+ years of scripting, programming, and security code review in a common programming language (non-internship) experience - 2+ years of troubleshooting systems issues, analyzing logs, or automating basic tasks using command line tools (non-internship) experience - Bachelor's degree in computer science or equivalent - Bachelor's degree in a STEM field (Science, Technology, Engineering, Mathematics), or experience in IT Security - Bachelor's degree in a STEM field (Science, Technology, Engineering, Mathematics), or 2+ years of IT Security experience - Knowledge of networking protocols such as HTTP, DNS and TCP/IP - Knowledge of industry-based security vulnerabilities and remediation techniques - Experience in scripting, programming, and security code reviewing in a common programming language (non-internship) - Experience in troubleshooting systems issues, analyzing logs, or automating basic tasks using command line tools (non-internship experience) Preferred Qualifications: - 2+ years of any combination of the following: threat modeling experience, secure coding, identity management and authentication, software development, cryptography, system administration and network security experience - 2+ years of scripting, programming, or security code review in a common language, such as Python, Java or C++ experience - Knowledge of command line tools to troubleshoot protocols, analyze log outputs, or automate basic tasks - Knowledge of networking protocols, to include HTTP(S), DNS, and TCP/IP - Experience with AWS products and services - Experience in scripting, programming, or security code reviewing in a common language, such as Python, Java, or C++ 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 - 159,300.00 - 202,400.00 USD annually", "summaryDescription" : "Security Engineer, Perimeter Threat Research Team at Amazon Data Services, Inc.. Skills: Application security, Network security, Threat intelligence, Malware analysis. Research threats. Deliver actionable threat indicators", "postedDate" : "2026-06-13T08:45:35.789", "createdAt" : "2026-06-13T08:45:35.789", "lastUpdated" : "2026-06-15T01:05:41.983", "ingestTimestamp" : "2026-06-13T08:45:35.789", "mongoId" : "69e104412beec4dd3def2762", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10386669/apply", "salaryAnnualMin" : 159300, "salaryAnnualMax" : 202400, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Malware analysis", "Static analysis", "Dynamic analysis", "Vulnerability identification", "Hypothesis-driven approaches", "Behavioral analytics", "Detection rule crafting", "Command-and-control communication", "Attack vector research", "Application security", "Network security", "Threat intelligence", "Malware reverse engineering", "Threat hunting", "DDoS mitigation", "Botnet research", "Traffic analysis", "Cyber security trends", "Agile development environment", "Web application security", "OWASP methodologies", "Botnet infrastructure", "Threat intelligence frameworks", "MITRE ATT&CK", "STIX/TAXII standards", "AWS security", "AWS networking services", "Distributed networks", "IDA Pro", "Ghidra", "x64dbg", "Burp Suite", "Wireshark", "Zeek" ], "skillCount" : 34, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a305a90f292fd229cf52a62", "title" : "Junior Analyst, Risk Management", "company" : "Razorpay Software Private Limited", "industry" : "FinTech", "salary" : { "min" : 750000.0, "max" : 1200000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Analyst in the FinTech industry in India, adjusted for seniority and company size." }, "location" : "Payments", "locations" : [ "Payments" ], "timestamp" : "2026-06-16T09:03:04.936", "fingerprint" : "e1572a786f078277fa4be4c1b0f3c5718c73b20487602d4322db70115e382386", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/razorpaysoftwareprivatelimited/jobs/4703413005", "externalId" : "4703413005", "industryFunction" : { }, "structuredLocations" : [ { "country" : "India", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "India", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Junior", "technicalSkills" : "MS Excel, Google Sheets", "professionalSkills" : [ "Chargeback operations", "Dispute management", "Data reconciliation", "MIS reporting" ], "hardSkillsList" : [ "Fraud dispute", "Transaction logs", "Settlement records", "Representment cases", "MIS reporting" ], "softSkillsList" : [ "Problem-solving" ], "hardSkills" : [ { "name" : "Fraud dispute", "level" : "intermediate" }, { "name" : "Transaction logs", "level" : "intermediate" }, { "name" : "Settlement records", "level" : "intermediate" }, { "name" : "Representment cases", "level" : "intermediate" }, { "name" : "MIS reporting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem-solving" } ], "majorSkills" : "UPI chargeback operations, URGCS portal, Dispute resolution", "majorSkillsList" : [ "UPI chargeback operations", "URGCS portal", "Dispute resolution" ], "coreResponsibilities" : "Maintain a daily tracker for open, pending, and, Validate and compile fraud dispute evidence packets, Gather transaction logs and switch-level confirmations, Coordinate with merchant for proof of fulfilment, Verify refund status, settlement records, Communicate resolution to the issuer, Prepare case files, Coordinate with acquiring bank and NPCI, Collect, review, and compile evidence, Build representment cases, Ensure all supporting documents meet NPCI guidelines, Maintain a structured repository of case files, Reach out to merchants proactively to obtain dispute, Liaise with acquiring bank’s chargeback desk, Update merchants and internal stakeholders on case progress, Prepare daily, weekly, and monthly MIS reports, Identify trends in dispute reasons, Flag recurring issues to the team lead, Contribute data for monthly business reviews, Follow all NPCI chargeback operating procedures, Follow Razorpay internal SOPs, Flag process gaps or portal issues, Propose solutions to improve efficiency, Support UAT and onboarding activities", "teamCollaboration" : "Merchants; Acquiring bank; Internal stakeholders; Cross-functional internal teams", "domainKnowledge" : "UPI ecosystem; NPCI rules; Chargeback reason codes; Dispute TATs; Representment guidelines; Acquiring bank processes; NPCI circulars; PCI-DSS; RBI guidelines; Payment aggregators; NPCI operating guidelines", "domainList" : [ "upi-ecosystem", "npci-rules", "chargeback-reason-codes", "dispute-tats", "representment-guidelines", "acquiring-bank-processes", "npci-circulars", "pci-dss", "rbi-guidelines", "payment-aggregators", "npci-operating-guidelines" ], "domainSpecificKnowledge" : [ "UPI ecosystem", "NPCI rules", "Chargeback reason codes", "Dispute TATs", "Representment guidelines", "Acquiring bank processes", "NPCI circulars", "PCI-DSS", "RBI guidelines", "Payment aggregators", "NPCI operating guidelines" ], "toolProficiency" : [ "URGCS portal", "MS Excel", "Google Sheets", "Freshdesk", "Jira Service Desk" ], "communicationSkills" : "Written communication", "documentationSkills" : "Evidence documentation", "problemSolvingSkills" : "Problem-solving mindset", "outcomesObjectives" : "Meet strict portal deadlines", "qualificationsBasic" : "Bachelor's degree in Commerce, Finance, Business Administration, or related field, 1–3 years of hands-on experience in UPI chargeback operations, Working knowledge of the URGCS portal, Understanding of the UPI ecosystem, Proficiency in MS Excel / Google Sheets, Ability to read and interpret transaction logs, settlement files, and switch reports, Familiarity with acquiring bank processes and NPCI circulars", "qualificationsPreferred" : "Prior experience working on the URGCS - UPI portal, Exposure to other payment dispute platforms, Knowledge of PCI-DSS, RBI guidelines on payment aggregators, or NPCI operating guidelines, Experience with ticketing or case management tools", "rawDescription" : "Razorpay is one of India’s leading full-stack financial technology companies, powering the way businesses move, manage, and grow money. Founded in 2014 by Harshil Mathur and Shashank Kumar with a simple vision - to simplify payments for Indian businesses - we’ve since grown into a fintech powerhouse driving India’s digital payment revolution. Razorpay powers millions of businesses with a smarter, scalable stack that goes beyond transactions to help them truly build and grow. From building AI-native agentic payments, to AI-assisted fraud detection and real-time risk intelligence to automated reconciliation, smart payouts, and predictive financial insights, we are embedding intelligence across our stack to make money movement faster, safer, and more efficient. In close collaboration with ecosystem partners - including banks, networks, regulators - we are pioneering industry-first solutions that are shaping the next era of fintech Across India, Singapore and Malaysia, our products span everything from seamless checkouts to payroll automation - powering a fintech ecosystem that’s redefining how money moves across Asia. Today, that ecosystem supports everyone from early-stage startups to some of India’s largest enterprises, enabling them to accept, process, and disburse payments at scale while expanding into new ways of managing money more efficiently. Our scale speaks volumes: Razorpay processes $180+ billion in annualized transactions, powering leading businesses like Airbnb, Facebook, WhatsApp, Airtel, CRED, BookmyShow, Zomato, Swiggy, Lenskart, Mirae Asset Capital markets, Indian Oil, National Pension Scheme - and over 100 of India’s unicorns. With strong roots in India and growing operations in Southeast Asia, we are shaping the next chapter of financial technology across the region. We are backed by global investors including GIC, Peak XV Partners (formerly Sequoia Capital India maintain a daily tracker for open, pending, and closed cases. 2. Chargeback Types Handled Fraudulent / Unauthorised Transactions — validate and compile fraud dispute evidence packets. Technical Disputes (duplicate charges, incorrect amounts, processing errors) — gather transaction logs and switch-level confirmations. Merchant Disputes (non-delivery, service/quality issues) — coordinate with merchant for proof of fulfilment. Consumer Disputes — verify refund status, settlement records, and communicate resolution to the issuer. Pre-arbitration & Arbitration — prepare case files and coordinate with the acquiring bank and NPCI. 3. Evidence & Documentation Collect, review, and compile evidence (transaction receipts, screenshots, settlement data, merchant responses) to build strong representment cases. Ensure all supporting documents meet NPCI format and content guidelines before portal submission. Maintain a structured repository of case files for audit readiness. 4. Merchant & Stakeholder Coordination Reach out to merchants proactively to obtain dispute documentation within internal SLAs. Liaise with the acquiring bank’s chargeback desk for portal escalations or technical issues. Update merchants and internal stakeholders on case progress and outcomes. 5. MIS & Reporting Prepare daily, weekly, and monthly MIS reports on chargeback volumes, win rates, recovery amounts, and TAT adherence. Identify trends in dispute reasons and flag recurring issues to the team lead. Contribute data for monthly business reviews and NPCI compliance reporting. 6. Process Adherence & Improvement Follow all NPCI chargeback operating procedures and Razorpay internal SOPs. Flag process gaps or portal issues and propose solutions to improve efficiency or win rates. Support UAT and onboarding activities whenever URGCS portal features are updated. Required Qualifications & Skills Education Bachelor’s degree in Commerce, Finance, Business Administration, or a related field. Experience Analyst: 1–3 years of hands-on experience in UPI chargeback operations, preferably on the acquiring side. Technical & Domain Skills Working knowledge of the URGCS portal or willingness to learn it immediately upon joining. Understanding of the UPI ecosystem — NPCI rules, chargeback reason codes, dispute TATs, and representment guidelines. Proficiency in MS Excel / Google Sheets for MIS, data reconciliation, and tracker management. Ability to read and interpret transaction logs, settlement files, and switch reports. Familiarity with acquiring bank processes and NPCI circulars related to dispute management. Soft Skills High attention to detail — accuracy in case data and documentation is non-negotiable. Strong written communication for drafting representment narratives and merchant correspondence. Time management — ability to prioritise a high-volume queue and meet strict portal deadlines. Problem-solving mindset with a proactive approach to dispute resolution. Ability to collaborate effectively with merchants, banks, and cross-functional internal teams. Good to Have Prior experience working on the URGCS - UPI portal. Exposure to other payment dispute platforms (Visa VROL, Mastercard MATCH, RuPay dispute system). Knowledge of PCI-DSS, RBI guidelines on payment aggregators, or NPCI operating guidelines. Experience with ticketing or case management tools (Freshdesk, Jira Service Desk). Razorpay believes in and follows an equal employment opportunity policy that doesn't discriminate on gender, religion, sexual orientation, colour, nationality, age, etc. We welcome interests and applications from all groups and communities across the globe. Follow us on LinkedIn & Twitter", "summaryDescription" : "Junior Analyst, Risk Management at Razorpay Software Private Limited. Skills: UPI chargeback operations, URGCS portal, Dispute resolution. Maintain a daily tracker for open, pending, and. Validate and compile fraud dispute evidence packets", "postedDate" : "2026-06-15T23:24:28.413", "createdAt" : "2026-06-15T23:24:28.413", "lastUpdated" : "2026-06-16T09:03:04.936", "ingestTimestamp" : "2026-06-15T23:24:28.413", "mongoId" : "6a305a90f292fd229cf52a62", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Fraud dispute", "Transaction logs", "Settlement records", "Representment cases", "MIS reporting", "Problem-solving", "UPI chargeback operations", "URGCS portal", "Dispute resolution", "Chargeback operations", "Dispute management", "Data reconciliation", "UPI ecosystem", "NPCI rules", "Chargeback reason codes", "Dispute TATs", "Representment guidelines", "Acquiring bank processes", "NPCI circulars", "PCI-DSS", "RBI guidelines", "Payment aggregators", "NPCI operating guidelines", "MS Excel", "Google Sheets", "Freshdesk", "Jira Service Desk" ], "skillCount" : 27, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30575af292fd229cf385ff", "title" : "Vendor Risk Management Analyst", "company" : "GoDaddy", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Vendor Risk Management Analyst in the Technology industry in India, adjusted for remote work and company size." }, "location" : "India", "locations" : [ "India" ], "timestamp" : "2026-06-16T08:07:35.197", "fingerprint" : "57772d8e09572dcc78b6868a129a223cde731f16bb1416fb1792d3651e65db54", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careers.godaddy/jobs?gh_jid=7753842003", "externalId" : "7753842003", "industryFunction" : { }, "structuredLocations" : [ { "country" : "India", "continent" : "as", "workMode" : "remote" } ], "locationText" : "India", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Location Details: India, Remote At GoDaddy the future of work looks different for each team. Some teams work in the office full-time, others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely. This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join our Team The Vendor Risk Management (VRM) Analyst assists with the daily activities of GoDaddy’s third-party risk programme within the Data Governance bring up delays to the VRM Manager Your experience should include... 3+ years of experience in running vendor risk, handling third-party risk, compliance operations, or a similar administrative or operational position Familiarity with VRM or GRC concepts and common frameworks such as SIG, CAIQ, NIST, and SOC 2 is important. You don’t need to be a technical expert. However, you should understand the basics of how vendor assessments work. Strong organizational skills and attention to detail; comfortable managing a high volume of concurrent requests without dropping the ball Clear, professional communication and collaboration skills — you’ll regularly interact with company founders, outside vendors, and cross-functional collaborators Proficiency with Microsoft 365; experience with GRC or VRM platforms (e.g., OneTrust, ServiceNow) a plus Comfortable working in a distributed environment across time zones You might also have... Exposure to data privacy concepts and how they intersect with vendor due diligence (GDPR, CCPA, etc.) Experience with third-party incident notification workflows Familiarity with AI or emerging technology vendor considerations We encourage you to apply even if your experience or skillset doesn’t align perfectly with every requirement. We value a wide range of backgrounds and transferable skills, and we are excited to support learning and growth. We've got your back...  We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy’s benefits vary based on individual role and location and can be reviewed in more detail during the interview process. About us... GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us. At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that’s not enough to build true equity and belonging in our communities. That’s why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It’s the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page. We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way. GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy. Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to myrecruiter@godaddy.com. GoDaddy doesn’t accept unsolicited resumes from recruiters or employment agencies.", "summaryDescription" : "Vendor Risk Management Analyst at GoDaddy", "postedDate" : "2026-06-15T23:24:22.434", "createdAt" : "2026-06-15T23:24:22.434", "lastUpdated" : "2026-06-16T08:07:35.197", "ingestTimestamp" : "2026-06-15T23:24:22.434", "mongoId" : "6a30575af292fd229cf385ff", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305a08f292fd229cf4ca01", "title" : "Shariah Risk Associate", "industry" : "Risk", "salary" : { "min" : 750000.0, "max" : 1200000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Shariah Risk Associate in Mumbai, India, adjusted for the FinTech industry." }, "location" : "Mumbai", "locations" : [ "Mumbai" ], "timestamp" : "2026-06-16T15:17:40.858", "fingerprint" : "cf5009ce7bda801981ef7acacaeb62f02e3709a50b5bf4192a40091cfab27c94", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/wahed.com/79381338-b778-4ab6-a347-d330490fcb14/apply", "externalId" : "79381338-b778-4ab6-a347-d330490fcb14", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mumbai", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "19.0549990,72.8692035" } ], "locationText" : "Mumbai, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Undergraduate", "coreResponsibilities" : "Review internal documents, Review contracts, Review product materials, Support Shariah compliance monitoring, Maintain approval records, Maintain trackers, Maintain audit documentation, Conduct basic research, Prepare summaries, Prepare internal reports, Prepare presentations, Support Shariah team, Respond to internal queries, Respond to risk reviews, Respond to audit requirements, Maintain organized documentation, Maintain version control, Maintain structured archives", "domainKnowledge" : "Shariah perspective; Shariah compliance; Shariah rulings; AAOIFI standards; Islamic finance practices; Islamic commercial jurisprudence; Fiqh al-Mu‘amalat; Islamic Studies; Shariah; Islamic Finance", "domainList" : [ "shariah-perspective", "shariah-compliance", "shariah-rulings", "aaoifi-standards", "islamic-finance-practices", "islamic-commercial-jurisprudence", "fiqh-al-mu-amalat", "islamic-studies", "shariah", "islamic-finance" ], "domainSpecificKnowledge" : [ "Shariah perspective", "Shariah compliance", "Shariah rulings", "AAOIFI standards", "Islamic finance practices", "Islamic commercial jurisprudence", "Fiqh al-Mu‘amalat", "Islamic Studies", "Shariah", "Islamic Finance" ], "communicationSkills" : "Written communication", "documentationSkills" : "Formal documentation", "qualificationsBasic" : "Undergraduate or postgraduate student, Basic understanding of Islamic jurisprudence, Comfortable working with spreadsheets, Comfortable working with documents, Comfortable working with internal systems", "qualificationsPreferred" : "Arabic language advantage", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Job Description Assist in reviewing internal documents, contracts, and product materials from a Shariah perspective. Support Shariah compliance monitoring activities, including maintaining approval records, trackers, and audit documentation. Conduct basic research on Shariah rulings, AAOIFI standards, and contemporary Islamic finance practices. Help prepare summaries, internal reports, and presentations for Shariah reviews and training sessions. Support the Shariah team in responding to internal queries, risk reviews, and audit requirements. Maintain organized documentation, version control, and structured archives for Shariah-related materials. ## Job Specification Undergraduate or postgraduate student in Islamic Studies, Shariah, Islamic Finance, or a related field. Basic understanding of Islamic commercial jurisprudence (Fiqh al-Mu‘amalat). Strong attention to detail and ability to work with formal documentation. Good written communication skills in English (Arabic is an advantage). Comfortable working with spreadsheets, documents, and internal systems.", "summaryDescription" : "Shariah Risk Associate. Review internal documents. Review contracts", "postedDate" : "2026-06-15T09:00:35.549", "createdAt" : "2026-06-15T09:00:35.549", "lastUpdated" : "2026-06-16T15:17:40.858", "ingestTimestamp" : "2026-06-16T03:23:06.526", "mongoId" : "6a305a08f292fd229cf4ca01", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Shariah perspective", "Shariah compliance", "Shariah rulings", "AAOIFI standards", "Islamic finance practices", "Islamic commercial jurisprudence", "Fiqh al-Mu‘amalat", "Islamic Studies", "Shariah", "Islamic Finance" ], "skillCount" : 10, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.92 }, { "id" : "6a21ad3674d8ee00a0cc2544", "title" : "Sr. Risk Manager, APAC", "company" : "Amazon Japan G. K.", "industry" : "Project/Program/Product Management--Non-Tech, Risk Family, Logistics", "salary" : { "min" : 1.5E7, "max" : 2.2E7, "currency" : "JPY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for E-commerce in Tokyo, Japan, adjusted for Senior Risk Manager role and Amazon's company size." }, "location" : "Tokyo, JPN", "locations" : [ "Tokyo, JPN" ], "certifications" : [ "Project Management Professional (PMP)" ], "timestamp" : "2026-06-15T03:36:51.424", "fingerprint" : "55864c126b417eb585e91a83afa5471b2127fc354371f1d4fbc9c0914b8b82d8", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10439938/apply", "externalId" : "e812d1b0-7e6b-4b86-872d-6928ed59879f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tokyo", "country" : "Japan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "35.6768601,139.7638947" } ], "locationText" : "Tokyo, Japan", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 6, "experienceLevel" : "Manager", "professionalSkills" : [ "Risk management", "Process improvement", "Quality measurement" ], "hardSkillsList" : [ "Incident deep dive", "Evidence gathering", "Relationship building", "Business judgment", "Analytic skills" ], "softSkillsList" : [ "Empathy", "Judgment", "Maturity", "Influence", "Negotiation" ], "hardSkills" : [ { "name" : "Incident deep dive", "level" : "intermediate" }, { "name" : "Evidence gathering", "level" : "intermediate" }, { "name" : "Relationship building", "level" : "intermediate" }, { "name" : "Business judgment", "level" : "intermediate" }, { "name" : "Analytic skills", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Empathy" }, { "name" : "Judgment" }, { "name" : "Maturity" }, { "name" : "Influence" }, { "name" : "Negotiation" } ], "majorSkills" : "Risk management, Incident response, Stakeholder management", "majorSkillsList" : [ "Risk management", "Incident response", "Stakeholder management" ], "coreResponsibilities" : "Provide empathetic experiences to support stakeholders after an, Deep dive incidents, Drive accountability across the organization, Generate insights to mitigate risk, Improve safety programs, Coordinate rapid response for high severity incidents, Investigate and handle sensitive tragedies, Coordinate response process through thoughtful communication, Create efficiencies to scale processes, Lead process improvements, Create mechanisms to measure quality, effectiveness, and scale, Drive clarity across teams and organizations, Balance time between projects and rapid response", "teamCollaboration" : "Cross-functional coordination; Senior leader communication", "domainKnowledge" : "High Severity Intelligence; Last Mile drivers", "domainList" : [ "high-severity-intelligence", "last-mile-drivers" ], "domainSpecificKnowledge" : [ "High Severity Intelligence", "Last Mile drivers" ], "toolProficiency" : [ "Microsoft Office" ], "communicationSkills" : "Verbal communication; Written communication", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "specialRequirements" : "On-call rotation, Relocation to Tokyo", "outcomesObjectives" : "Mitigate risk; Improve safety programs", "qualificationsBasic" : "6+ years compliance, audit or risk management experience, Advanced Microsoft Office products and applications knowledge, Speak, write, and read fluently in English and Japanese", "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" : "As the Sr. Risk Manager for High Severity Intelligence (HSI), you will provide world-class empathetic experiences to support internal and external stakeholders after an incident. In this role, you will deep dive incidents, driving accountability across the organization and generating insights that will mitigate risk and improve safety programs. This is a large-scale, rapid response coordination program designed to ensure timely and thorough management of the highest severity incidents that affect any of our Last Mile drivers, customers, or community members. We investigate and handle the most sensitive of tragedies with professionalism and care, and coordinate the process of response through thoughtful communication with all involved, including the most senior leaders at Amazon. You will be responsible for the experience of our customers and community members during some of the hardest moments of their lives. The role requires a leader who is connected to the details, advocates for customers, leads with empathy, and can effectively influence senior leaders. They will possess a detailed understanding of how to balance speed with evidence gathering and be able to champion customer trust. The leader will dive into team workflows and create efficiencies to scale and lead processes improvements. They will create mechanisms to measure quality, effectiveness, and scale globally. A successful candidate will possess high emotional intelligence and the capacity to provide support in emotionally charged situations. This includes the ability to remain composed, empathetic, and supportive when dealing with individuals affected by a tragic incident. The candidate should embrace ambiguity and drive clarity across teams and organizations. This role requires strong relationship building skills and sound business judgment. They will be an excellent communicator, verbally and through writing, enabling them to work successfully with diverse audiences. Balancing time between projects and rapid response is a critical component for success in the position. Maturity, high judgment, negotiation skills, ability to influence, analytic skills, and leadership are essential to success in this role. This role is required to participate in an on-call rotation to lead rapid response activities. Emotional intelligence and experience supporting crisis, incident management or trauma strongly preferred. The role will be dual language speaking (English, Japanese). This role requires relocation to Tokyo, JP. A day in the life 【What's a day in the Amazon office like? 】 https://www.youtube.com/watch?v=0wIlMX1yUKU 【Employee Benefits】 https://www.amazon.co.jp/b?node=22292420051 Basic Qualifications: - Bachelor's degree or equivalent - 6+ years of compliance, audit or risk management experience - Knowledge of Microsoft Office products and applications at an advanced level - Speak, write, and read fluently in English and Japanese 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 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, APAC at Amazon Japan G. K.. Skills: Risk management, Incident response, Stakeholder management. Provide empathetic experiences to support stakeholders after an. Deep dive incidents", "postedDate" : "2026-06-13T16:40:28.065", "createdAt" : "2026-06-13T16:40:28.065", "lastUpdated" : "2026-06-15T03:36:51.424", "ingestTimestamp" : "2026-06-13T16:40:28.065", "mongoId" : "6a21ad3674d8ee00a0cc2544", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10439938/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Incident deep dive", "Evidence gathering", "Relationship building", "Business judgment", "Analytic skills", "Empathy", "Judgment", "Maturity", "Influence", "Negotiation", "Risk management", "Incident response", "Stakeholder management", "Process improvement", "Quality measurement", "High Severity Intelligence", "Last Mile drivers", "Project Management Professional (PMP)", "Microsoft Office" ], "skillCount" : 19, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "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, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "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, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true } ], "status" : 200, "message" : "sr security engineer iii threat intelligence buyer risk prevention payment risk team jobs", "metadata" : { "title" : "sr security engineer iii threat intelligence buyer risk prevention payment risk team" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 109982, "totalPages" : 2200, "hasNext" : true, "hasPrevious" : false } }

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