Quantitative Risk Modeling Analyst II - Financial Crimes
Core
Apply data analytics and statistical modeling to financial, transactional, demographic, and behavioral data to identify actionable insights for financial crimes risk management.
Role type
Senior IC quantitative risk modeling analyst (financial crimes)
Builds
Risk models and analytical insights for financial crime detection and compliance
Domain
Financial services / Banking / Financial Crimes
Deliverable
production ML models
Required skills
statistical modeling, machine learning, SQL, SAS, R, Python, data aggregation, regulatory compliance documentation
Preferred skills
financial services industry modeling experience
Responsibilities
Apply data analytics to complex business problems involving financial and behavioral data; Pull, clean, and aggregate data from bank sources; Ensure work documentation complies with State and Federal Laws; Collaborate with Risk Management Teams to identify data analytics use cases; Maintain communication with Risk Management Teams clients
Seniority
Mid-Senior, hands-on IC
