Financial Crimes Risk Senior Data Analyst/Data Scientist

The role

This person will support the data, technology, analytical, and reporting needs of the Financial Intelligence Unit. They will tune transaction monitoring rules, analyze data to improve detection, and manage financial crime vendor configurations.

What you will do

• Assist with tuning and optimizing transaction monitoring rules across card, ACH, wire, digital, and asset activity
• Analyze alert, case, and transaction data to identify false positives and coverage gaps
• Assist with managing and optimizing financial crime vendor configurations
• Support testing, backtesting, regression testing, and audits for monitoring and screening controls
• Translate investigative findings and regulatory requirements into scalable monitoring logic and technical controls
• Assist with developing internal compliance tools, workflows, dashboards, and automations
• Partner with Investigations, Compliance, Engineering, and vendors to improve financial crime controls

Required qualifications

• 4–7+ years of experience in financial crimes analytics, compliance technology, fraud/risk analytics, or related roles within fintech, banking, payments, or digital assets
• Advanced SQL and strong Python skills
• Experience analyzing large transaction datasets, automating workflows, and building reusable compliance tooling
• Hands-on experience tuning transaction monitoring rules
• Experience managing and optimizing financial crime vendor settings
• Experience testing and auditing transaction monitoring, KYC/KYB, sanctions, or screening controls
• Ability to evaluate monitoring performance using alert volumes, false-positive rates, escalation outcomes, precision/recall, and detection coverage
• Strong understanding of AML/BSA, transaction monitoring, sanctions, KYC/KYB
• Ability to independently translate risk requirements into scalable technical controls
• Hands-on experience with blockchain intelligence tools such as Chainalysis, TRM Labs, Elliptic, or similar platforms

Nice to have

• Experience developing or deploying machine learning models for fraud, AML, transaction monitoring, anomaly detection, or customer risk
• Experience with graph analytics, network analysis, entity resolution, or behavioral modeling
• Experience building production-grade Python services, analytical pipelines, or detection frameworks
• Familiarity with feature engineering, model evaluation, threshold optimization, precision/recall analysis, and model monitoring
• Experience working with large-scale data platforms and distributed processing frameworks such as BigQuery, Snowflake, Spark, or similar
• On-chain analytics, blockchain tracing, wallet clustering, or combining digital asset and traditional payments data
• Experience translating investigative findings or emerging typologies into scalable detection logic, models, or automated controls

Benefits

• Unlimited time off (10 days minimum required)
• Flexible working
• Stipend to create a comfortable atmosphere at home
• Comprehensive health, dental and vision plans for US Rainmakers and dependents
• 100% company subsidized life insurance plan
• 401(k) with a 4% company match
• Equity option plan
• Rain Card for testing core products
• Card for eligible health and wellness spending
• Team summits including domestic and international offsites

About the company

Rain makes the next generation of payments possible across the globe. Their infrastructure makes stablecoins usable in the real-world by powering card transactions, cross-border payments, B2B purchases, remittances, and more.