Yuan Li is a financial analyst with 9 years of experience applying advanced statistical methods and quantitative modeling to credit risk management at U.S. Bank. He holds a Ph.D. in Statistics from North Carolina State University and combines deep academic training with practical experience translating complex models into actionable risk metrics. His background includes early analytical experience at SAS, giving him strong foundations in enterprise analytics and business processes. Yuan is proficient in programming for model development and validation, with a track record of building robust statistical solutions used in production risk frameworks. Colleagues describe him as methodical and data-driven, able to bridge theoretical rigor and regulatory expectations. Based in the Twin Cities, he focuses on leveraging quantitative techniques to improve decision-making across credit portfolios.
9 years of coding experience
Doctor of Philosophy (Ph.D.), Statistics, Doctor of Philosophy (Ph.D.), Statistics at North Carolina State University
Contributions:1 release, 21 commits, 77 pushes in 1 day
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.