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Fan Yang is an experienced professional in the financial industry, blending over a decade of expertise in data science with a background in financial modeling for consumer banking. He specializes in Deposits, Residential Loans, Auto Loans, and Credit Cards. His journey is marked by significant contributions to loss forecasting, marketing analytics, card acquisition model development, and credit data management. Currently, he serves as a Senior Manager at Discover Financial Services in Chicago, where he leads the Card Acquisition Risk Modeling team, overseeing both onshore and offshore operations. His role involves building machine learning models that provide strategic data-driven support for business needs. Fan's professional narrative includes tenures at BMO, where he led the Marketing Advanced Data Analytics team, and KeyBank/Northern Trust, focusing on the Comprehensive Capital Analysis Review and Current Expected Credit Loss Stress Tests. In these roles, he employed advanced quantitative techniques such as XGBoost and Convolutional Neural Networks, helping companies drive business growth and optimize risk management strategies effectively. Fan's educational background includes a Ph.D. in Statistics and an MBA from the University of Iowa. He currently teaches Time Series Analysis and Forecasting at the University of Chicago and has three years of prior teaching experience at the University of Iowa.
Discover Financial Services • Chicago
Leads the Card Acquisition Risk Modeling team, overseeing onshore and offshore operations.
BMO • Chicago
Led the Marketing Advanced Data Analytics team.
KeyBank/Northern Trust • Chicago
Focused on CCAR and CECL stress tests.
Department of Philosophy