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RainRainWashington, DC

Financial Crimes & Risk Data Analyst

Analyzes financial crimes data to optimize transaction monitoring rules, investigates risk patterns, and builds dashboards for compliance teams at a fintech payments company. Requires 2+ years in risk/fraud analytics, strong SQL, and blockchain tools experience.

Salary not listed
Remote2+ YOEData Analytics

About the role

Responsibilities

  • Assist in continuously improving transaction monitoring rules across card, ACH, wire, and digital asset activity to increase detection quality and reduce false positives
  • Conduct deep-dive investigations into emerging risk patterns and convert findings into scalable, production-ready monitoring logic
  • Analyze alert and case data to evaluate rule performance (e.g., false positive rates, alert-to-case conversion, escalation outcomes) and recommend data-driven optimizations
  • Partner with Compliance Investigations to identify typologies and ensure monitoring logic reflects real-world risk signals and regulatory expectations
  • Support the design and refinement of onboarding and KYC/KYB risk segmentation frameworks
  • Build and maintain dashboards and recurring reporting that provide visibility into rule effectiveness, operational efficiency, and overall risk exposure
  • Perform ad hoc risk analyses across customer cohorts, geographies, products, and transaction behaviors to identify outliers or control gaps

Requirements

  • 2–4+ years of experience in risk analytics, financial crimes analytics, compliance data, fraud analytics, or related fields (fintech, banking, or payments preferred)
  • Hands-on experience with blockchain intelligence tools such as Chainalysis, TRM Labs, Elliptic, or similar platforms
  • Strong SQL skills (ability to write complex joins, aggregations, window functions, and performance-optimized queries on large datasets)
  • Experience analyzing transaction-level data and building or optimizing rule-based monitoring logic
  • Familiarity with AML/BSA concepts and transaction monitoring frameworks
  • Ability to translate ambiguous regulatory requirements into structured, data-driven logic
  • Strong analytical thinking and ability to independently structure open-ended problems

Nice-to-Haves

  • Python experience (pandas, Polars, or similar) for deeper analysis and automation
  • Familiarity with KYC/KYB vendors (e.g., Sumsub, Alloy, Persona, etc.)
  • Experience designing Retool workflows, internal tools, or compliance dashboards
  • Exposure to card network data, ACH flows, wire transactions, or digital asset monitoring
  • Experience supporting regulatory exams or external audits

Skills

SQLChainalysisTrm LabsEllipticPythonpandasPolarsRetoolAMLBsa

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