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
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