This role involves developing and testing machine learning models to detect and prevent financial crimes such as money laundering and sanctions violations
Job Summary
This role involves developing and testing machine learning models to detect and prevent financial crimes such as money laundering and sanctions violations.
The ideal candidate will work closely with senior data scientists and compliance partners to ensure all solutions remain explainable, auditable, and compliant with regulatory expectations.
State Street offers a comprehensive benefits program including retirement savings plans, insurance coverage, paid-time off, and incentive compensation.
Matching Summary
This role involves developing and testing machine learning models to detect and prevent financial crimes such as money laundering and sanctions violations.
Salary
Base: $80,000 - $140,000 Annual; Bonus/Equity: Eligible for annual performance-based awards; Benefits: Comprehensive program including 401K match, insurance, and PTO
Skills & Requirements
Must-have
Machine Learning model development
Python and SQL proficiency
Anti-Money Laundering (AML) domain knowledge
Large dataset analysis
Agile delivery practices
Nice-to-have
Experience with SWIFT message types
Knowledge of LexisNexus Firco Continuity
Fedwires transaction experience
Strong stakeholder communication skills
Interest in AI in regulated environments
Key Requirements
5-6+ years of financial services experience
Bachelor's degree in Engineering, Business, or Technology
Knowledge of AML, Sanctions, and Transaction Monitoring