Financial Crimes & Risk Data Analyst
New
R
RainFintech / Compliance
We support a flexible workplace, if you feel comfortable at home please work from home.Full-TimeMiddle
Salary$50K - $999K; $50K – $999K • Offers Equity • Offers Bonus; Zone C: $50K – $999K • Offers Equity • Offers Bonus
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Job Details
- Experience
- 2–4+ years
- Required Skills
- SQL
Requirements
- 2–4+ years of experience in risk analytics, financial crimes analytics, compliance data, fraud analytics, or related fields.
- 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.
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 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.
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