Financial Crimes - Senior Data Scientist
Core
Conduct quantitative modeling and analytics for financial crimes, covering model development, data gathering, methodology selection, performance assessment, and ongoing monitoring.
Role type
Senior IC data scientist (financial crimes/AML)
Builds
Internal quantitative models and configurations for vendor solutions
Domain
Financial services / Anti-Money Laundering (AML) / Regulatory Compliance
Deliverable
production ML models
Required skills
quantitative modeling, statistical coding (SAS, Python), machine learning, data analysis, knowledge of financial crime regulations
Preferred skills
AML/BSA/OFAC experience, fraud modeling
Technologies
SAS, Python, traditional databases, cloud-based computing, distribution computing
Responsibilities
Develop and maintain internal models, research and evaluate large datasets, document model development processes, collaborate with compliance and risk partners, drive continuous improvements in model effectiveness
Seniority
Senior, hands-on IC
