Lead Quantitative Analytics Associate II - Business Banking & Consumer Analytics

Develop and validate predictive and machine-learning models for business banking and consumer analytics under manager guidance. Use statistical methods and techniques like regression, hypothesis testing, and model risk management to build, monitor, and maintain models for needs such as CECL, stress testing, origination scorecards, and macroeconomic forecasting. Partner with data stewards on data quality and assess model soundness, performance, and suitability while communicating insights to peers and the analytics community.