Nium
Global Payments
DataAnalyst–Risk&Compliance
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Analyst – Risk & Compliance at Nium. Skills: SQL, Data analysis, Risk, Compliance. Analyze transaction datasets using SQL. Identify fraud, AML, compliance risk patterns”
What You'll Achieve.
Identify fraud, AML, and compliance risk patterns; Translate analytical findings into clear business actions; Convert regulatory requirements into data logic and system rules; Evaluate effectiveness of risk controls; Design, build, and maintain dashboards and reporting; Support financial crime initiatives; Recommend data-driven improvements; Implement scalable and auditable decisioning systems; Improve risk systems with measurable impact; Reduced false positives; Improved detection rates
Industry & Context.
analytical thinking; problem-solving; data-to-decision mindset; Identify gaps and inefficiencies; recommend data-driven improvements
What They're Looking For.
Must Have
3–6 years of experience in data analytics, risk, fraud, compliance, or financial services, SQL (mandatory), ability to independently extract, join, and analyze large datasets, Proven ability to connect data insights to business decisions and outcomes, analytical thinking with a problem-solving, data-to-decision mindset, Ability to work across technical and non-technical stakeholders, Experience in fraud detection, AML, or transaction monitoring systems, Exposure to rule engines, decision systems, or risk platforms, Understanding of experimentation / threshold tuning / performance optimization
Nice to Have
Experience building dashboards / visualizations (Tableau, Power BI, Looker, or similar), Familiarity with Python (Pandas, NumPy) for data analysis
What You'll Do.
Analyze transaction datasets using SQL
compliance risk patterns
Translate analytical findings into business actions
Convert regulatory requirements into data logic
Evaluate effectiveness of risk controls
Perform deep-dive analyses
Identify process gaps and inefficiencies
Recommend data-driven improvements
Implement scalable decisioning systems
How You'll Work.
Team & Collaboration
Work with Compliance, Risk, and Product teams; Partner with engineering; Ability to work across technical and non-technical stakeholders
Communication Scope
Translate analytical findings into clear business actions; Ability to work across technical and non-technical stakeholders
Full Job Description
## Description Nium, the Leader in Real-Time Global Payments Nium, the leading global infrastructure for real-time cross-border payments, was founded on the mission to deliver the global payments infrastructure of tomorrow, today. With the onset of the global economy, its payments infrastructure is shaping how banks, fintechs, and businesses everywhere collect, convert, and disburse funds instantly across borders. Its payout network supports 100 currencies and spans 190+ countries, 100 of which in real-time. Funds can be disbursed to accounts, wallets, and cards and collected locally in 40 markets. Nium's growing card issuance business is already available in 34 countries. Nium holds regulatory licenses and authorizations in more than 40 countries, enabling seamless onboarding, rapid integration, and compliance – independent of geography. The company is co-headquartered in San Francisco and Singapore. ## Key Responsibilities Analyze large-scale transaction datasets using SQL to identify fraud, AML, and compliance risk patterns. Translate analytical findings into clear business actions (rule tuning, thresholds, workflows, policy inputs). Work with Compliance, Risk, and Product teams to convert regulatory requirements into data logic and system rules. Evaluate effectiveness of risk controls using data (alert rates, false positives, precision/recall, conversion impact). Design, build, and maintain dashboards and reporting that drive decision-making. Perform deep-dive analyses and investigations to support financial crime initiatives. Identify gaps and inefficiencies in current processes and recommend data-driven improvements. Partner with engineering to implement scalable and auditable decisioning systems. ## Requirements 3–6 years of experience in data analytics, risk, fraud, compliance, or financial services. Strong proficiency in SQL (mandatory) ability to independently extract, join, and analyze large datasets. Proven ability to connect data insights to business
Applying for this Data Analyst – Risk & Compliance role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Lever
- Lever uses a streamlined one-page form — apply in under 5 minutes.
- LinkedIn import works well; review parsed data before submitting.
- The cover letter field is optional but visible to reviewers — use it to differentiate.
- Referral codes from employees can significantly boost visibility of your application.
ANONYMOUS · UNFILTERED
What do employees actually say about Nium?
Real rants from real employees. Read before you apply.