Financial Crimes & Risk Data Analyst

What you’ll do

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

You are likely to succeed if you have:

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

Bonus attributes:

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 Required
2-4+ years of experience in risk analytics or financial crimes analytics
Hands-on experience with blockchain intelligence tools
Strong SQL skills for complex queries
Experience in analyzing transaction-level data
Familiarity with AML/BSA concepts