Manager, Financial Crimes Analytics
Core
Design, test, tune, and optimize financial crimes detection models (AML, Fraud, KYC, Sanctions) using statistical methods and AI/ML.
Role type
Senior individual contributor (Manager level, no direct people management)
Builds
Scalable surveillance models and detection platforms for financial crimes
Domain
Financial Services / Financial Crimes / AML / Fraud / KYC / Sanctions
Deliverable
production ML models
Required skills
Advanced SQL, Python, statistical analysis, model development/testing frameworks, feature engineering, root cause analysis, threshold calibration, back-testing, sensitivity analysis
Preferred skills
Financial crimes certifications, cloud certifications
Technologies
Fiserv FCRM, LexisNexis Bridger, Fenergo, Fiserv Payments Exchange, PEP+, Signature
Responsibilities
Design and develop detection scenarios and statistical models; Configure and optimize detection platforms; Perform model efficacy testing and back-testing; Analyze large datasets and diagnose model performance issues; Partner with Model Risk Management on governance and validation; Present technical findings to leadership
Seniority
Senior, hands-on IC