Summary
Benqing Shen is a Director of Artificial Intelligence in Chicago with 12 years of experience applying quantitative methods to risk, regulatory and product problems in finance. He has led large-scale CECL, stress testing, and fair-lending analytics engagements for major banks and advised on model risk and ML-enabled loss models built on big-data platforms. A University of Chicago MS in Financial Mathematics and a CFA, he combines rigorous stochastic and statistical training with hands-on product management experience across commercial real estate data and AI-driven financial tools. Notably, he has produced top-ranked predictive algorithms in public forecasting competitions against FiveThirtyEight, demonstrating an ability to turn research-grade models into competitive, real-world systems. Benqing’s background spans research, tool development and governance, enabling him to bridge technical model development with regulatory-compliant implementations. He is adept at translating complex quantitative work into auditable solutions that stakeholders can operationalize.
12 years of coding experience
5 years of employment as a software developer
MS, Financial Mathematics, MS, Financial Mathematics at University of Chicago
BS, Mathematics, BS, Mathematics at Shanghai Jiao Tong University
Chinese, English