Rain
Financial Crimes Risk Senior Data Analyst/Data Scientist
$165K–$180K
District of Columbia · On-site · Senior · Full-time · Posted Mar 5, 2026
- Experience
- 4–7+ years in financial crimes analytics, compliance technology, fraud/risk analytics, or related roles within fintech, banking, payments, or digital assets.
About the job
Supports Rain’s Financial Intelligence Unit by improving transaction monitoring, investigative analytics, and financial-crime controls.
What you'll do
- Tune transaction-monitoring rules and analyze alert, case, and transaction data to improve detection quality.
- Test, backtest, audit, and optimize monitoring and screening controls, including vendor configurations.
- Translate investigative findings and regulatory requirements into scalable controls, tools, workflows, and dashboards.
What they ask for
- Advanced SQL and strong Python skills.
- Hands-on experience tuning transaction-monitoring rules and managing financial-crime vendor settings.
- Experience testing and auditing monitoring, KYC/KYB, sanctions, or screening controls.
- Strong understanding of AML/BSA, transaction monitoring, sanctions, and KYC/KYB; hands-on experience with blockchain intelligence tools such as Chainalysis, TRM Labs, Elliptic, or similar platforms.
Nice to have
- Machine-learning, graph analytics, network analysis, or behavioral-modeling experience in financial crime.
- Experience with production-grade Python, large-scale data platforms, or on-chain analytics.
Pay
$165K – $180K USD base salary
Tools
SQL, Python, Chainalysis, TRM Labs, Elliptic, BigQuery, Snowflake, Spark
AI focus
Bonus: develop or deploy machine-learning models for fraud, AML, transaction monitoring, anomaly detection, or customer risk; work may also involve model evaluation and monitoring.
Model-written summary · the original posting is authoritative