Rain

4 months ago

Financial Crimes & Risk Data Analyst

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Strengthen Rain’s financial crimes program by improving transaction monitoring rules across card, ACH, wire, and digital asset activity. Conduct deep-dive investigations into emerging risk patterns, analyze alert and case performance, and translate findings into scalable monitoring logic. Partner with Compliance Investigations on typologies and refine onboarding and KYC/KYB risk segmentation. Build dashboards and recurring reporting to measure rule effectiveness, operational efficiency, and overall risk exposure.

Location: District of Columbia

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Continuously improve 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 onboarding and KYC/KYB risk segmentation framework design, and build dashboards and recurring reporting for visibility into rule effectiveness and risk exposure.

Pay and Benefits

Salary: USD 50,000 - 999,000 annually

Equity and Bonus:Equity

Perks:Paid LeaveHealth InsuranceDentalVisionLife Insurance401kEquity

Key Requirements

•2–4+ years of experience in risk analytics, financial crimes analytics, compliance data, or fraud analytics (fintech, banking, or payments preferred).
•Hands-on experience with blockchain intelligence tools such as Chainalysis, TRM Labs, Elliptic, or similar platforms.
•Strong SQL skills, including 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, including translating regulatory requirements into structured, data-driven logic.

Experience:2-4 yearsFintechBankingPayments

Skills:Analytical thinkingIndependent structuringData-driven decision-makingInvestigative analysis

Tech Stack:SQLPythonPandasPolarsChainalysisTRM LabsEllipticSumsubAlloyPersonaRetool

Company Brief

Rain

Website

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Rain

4 months ago

Financial Crimes & Risk Data Analyst

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: District of Columbia

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Continuously improve 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 onboarding and KYC/KYB risk segmentation framework design, and build dashboards and recurring reporting for visibility into rule effectiveness and risk exposure.

Pay and Benefits

Salary: USD 50,000 - 999,000 annually

Equity and Bonus:Equity

Perks:Paid LeaveHealth InsuranceDentalVisionLife Insurance401kEquity

Key Requirements

•2–4+ years of experience in risk analytics, financial crimes analytics, compliance data, or fraud analytics (fintech, banking, or payments preferred).
•Hands-on experience with blockchain intelligence tools such as Chainalysis, TRM Labs, Elliptic, or similar platforms.
•Strong SQL skills, including 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, including translating regulatory requirements into structured, data-driven logic.

Experience:2-4 yearsFintechBankingPayments

Skills:Analytical thinkingIndependent structuringData-driven decision-makingInvestigative analysis

Tech Stack:SQLPythonPandasPolarsChainalysisTRM LabsEllipticSumsubAlloyPersonaRetool

Company Brief

Rain

Website