Summary
Ying Gu is a Quantitative Analytics Senior Manager with over 20 years of experience in risk management and statistical modeling, and 11 years leading credit risk model development at Wells Fargo. She specializes in credit life-cycle modeling—originations, account management, collections, and fraud—combining traditional scorecards with explainable machine learning (XGBoost, LightGBM, EBM) to drive decisioning and loss forecasting. Ying has a track record of turning analytics into business impact, from a $400M incremental funded balance via campaign reengineering to doubling approval volumes through process optimization. She leads R&D to modernize model toolkits and built an explainable ML pipeline while training teams to operationalize new techniques. Based in Irvine, CA, she pairs an MS in Applied Economics and Finance with practical ML work spanning NLP and image tasks, reflecting a data-science curiosity beyond core credit risk.
11 years of coding experience
University of California Santa Cruz