Financial Crimes Risk Senior Data Analyst/Data Scientist

Lead transaction monitoring and investigative analytics for financial crimes risk management by tuning detection logic and scaling compliance controls for FIU workflows.

Responsibilities

• Tune and optimize transaction monitoring rules across card, ACH, wire, digital, and asset activity
• Analyze alert, case, and transaction data to reduce false positives, close coverage gaps, and improve detection quality
• Support financial crime vendor configuration optimization, including thresholds, matching logic, rulesets, risk settings, and workflows
• Assist with testing, backtesting, regression testing, and audits to confirm monitoring and screening controls perform as intended
• Translate investigative findings, emerging typologies, and regulatory requirements into scalable monitoring logic and technical controls
• Help develop internal compliance tools, workflows, dashboards, and automations that support FIU and Compliance operations
• Partner with Investigations, Compliance, Engineering, and vendors to implement, validate, document, and continuously improve financial crime controls

Requirements

• 4–7+ years of experience in financial crimes analytics, compliance technology, fraud/risk analytics, or related roles in fintech, banking, payments, or digital assets
• Advanced SQL and strong Python skills, including experience working with large transaction datasets and building reusable compliance tooling
• Hands-on experience tuning transaction monitoring rules, including thresholds, lookback periods, segmentation, exclusions, and behavioral indicators
• Experience managing and optimizing financial crime vendor settings, including screening thresholds, matching logic, risk parameters, rulesets, and workflows
• Experience testing and auditing transaction monitoring and screening controls through backtesting, regression testing, QA, and control effectiveness reviews (including KYC/KYB and sanctions)
• Ability to evaluate monitoring performance using metrics such as alert volumes, false-positive rates, escalation outcomes, precision/recall, and detection coverage
• Strong understanding of AML/BSA, transaction monitoring, sanctions, and KYC/KYB, with capability to translate risk requirements into scalable technical controls
• Hands-on experience with blockchain intelligence tools such as Chainalysis, TRM Labs, Elliptic, or similar platforms

Technologies

• SQL, Python, Chainalysis, TRM Labs, Elliptic
• BigQuery, Snowflake, Spark

Bonus Attributes

• 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 across transaction and customer datasets
• Experience building production-grade Python services, analytical pipelines, or detection frameworks beyond notebook-based analysis
• 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 experience including blockchain tracing, wallet clustering, or combining digital asset and traditional payments data for financial crime detection
• Experience translating investigative findings or emerging typologies into scalable detection logic, models, or automated controls

About the Team

• Part of Rain’s Financial Crimes Risk Management (FCRM) function supporting the Financial Intelligence Unit (FIU)
• Reports to the Director of Compliance Data & Analytics and partners with FIU Investigations and Compliance leadership
• Focuses on strengthening transaction monitoring, investigative analytics, and risk segmentation frameworks for Rain’s financial crimes program

Benefits

• Unlimited time off with requirement for Rainmakers to take 10 days minimum for themselves
• Flexible working
• New Rainmakers receive a stipend to create a comfortable home setup
• For US Rainmakers: comprehensive health, dental, and vision plans for you and dependents
• 100% company subsidized life insurance
• 401(k) with a 4% company match
• Equity option plan
• Rain Cards for testing core products and services
• Health and Wellness spending via Rain Cards (gym memberships/fitness classes, massages, acupuncture, etc.)
• Team summits with domestic and international offsites

Location and Experience

• Washington, DC (onsite)
• Minimum experience: 4 years