Lead Quantitative Analytics Associate II - Business Banking & Consumer Analytics

Lead Quantitative Analytics Associate II contributes to building and validating predictive and prescriptive models using statistics and machine learning for the bank's business needs (e.g., CECL, stress testing, origination scorecard, macroeconomic forecasting). Responsibilities include data preparation assessment, model development and maintenance, validation, communicating insights to peers, coaching others, and ensuring data quality and governance. Qualifications include a Bachelor's in a quantitative field and hands-on experience with advanced modeling techniques and languages (e.g., Python/SQL) and ML tools (XGBoost, LightGBM, Random Forest). The role emphasizes leadership in moderate-complexity problems, collaboration with business partners, and the ability to explain model insights and their business impact.