Dr. Fan Yang

Instructor

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Biography

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.

Research Interests

Experience

Senior Manager

— Present

Discover Financial Services • Chicago

Leads the Card Acquisition Risk Modeling team, overseeing onshore and offshore operations.

Marketing Advanced Data Analytics Team Leader

— Present

BMO • Chicago

Led the Marketing Advanced Data Analytics team.

Focus on Comprehensive Capital Analysis Review and Current Expected Credit Loss Stress Tests

— Present

KeyBank/Northern Trust • Chicago

Focused on CCAR and CECL stress tests.

Requirements for University of Chicago

Doctorate Program
Requirements
TOEFL
Listening
Required:26
Reading
Required:26
Writing
Required:26
Speaking
Required:26
Total
Required:104
IELTS
Listening
Required:7
Reading
Required:7
Writing
Required:7
Speaking
Required:7
Overall
Required:7
Prerequisites
Bachelor's degree Writing sample Candidate statement
Application Checklist
  • Candidate Statement
  • Transcripts
  • Letters of Recommendation (3)
  • Writing Sample
  • Application Fee
Specialization Notes

Department of Philosophy