Senior Associate - Financial Crimes Data Analyst

We're Hiring: Senior Associate – Financial Crimes Data Analyst (New York based) In this high-impact role, you’ll work with cutting-edge analytics, AI, and machine learning to strengthen financial crime detection programs across major institutions. You’ll explore complex datasets, uncover hidden patterns, and support mission-critical model performance and compliance work. Your insights will directly shape how organizations prevent and respond to financial crime — from transaction monitoring to BSA/AML model validations. This opportunity is ideal if you want to: • Build, calibrate, and validate statistical, ML, and AI models for AML, fraud, and sanctions detection • Conduct back-testing, benchmarking, and performance monitoring of financial crime models • Analyze large datasets to identify anomalies and behavioral trends • Support BSA/AML risk assessments, model audits, and valuations • Strengthen data quality, governance, and model risk frameworks • Work cross-functionally with data science, compliance, and risk stakeholders You’ll contribute directly to protecting financial systems from evolving threats — while building advanced quantitative, regulatory, and analytical expertise. You’re a strong fit if you bring: • 3+ years’ quantitative analytics experience in AML, fraud, sanctions, or financial crime modeling • Proficiency in Python, SQL, SAS, or R • Experience applying machine learning or AI to financial crime detection • Strong communication and report-writing skills • Ability to translate complex data into actionable insights • Bachelor’s degree in a quantitative field (Data Science, Computer Science, Statistics, Math, etc.) or MBA • U.S. work authorization (no visa sponsorship available) If you're ready to take on high-impact financial crime analytics work, apply now or send your CV to J.Mccallum@hwthree.com or R.Jacobie@hwthree.com