Summary
Shengjun Hu is a data science and risk modeling leader with nine years of experience building credit and fraud models across banks and fintech, currently heading Risk Modeling at Kafene. He progressed from quantitative research roles in academia and banking to senior leadership at JPMorgan Chase and Kafene, combining rigorous statistical training (PhD and dual MS degrees) with practical production deployment. Shengjun excels at turning complex datasets into actionable risk strategies and has a disciplined, focused work philosophy captured by his GitHub motto: "Do one thing at a time, and do well." Based in Shenzhen with U.S. experience, he blends cross-cultural insights with deep expertise in econometrics, machine learning, and model governance to scale reliable, auditable decision systems.
9 years of coding experience
14 years of employment as a software developer
Master of Science (M.S.), Forest Products, 4.0, Master of Science (M.S.), Forest Products, 4.0 at University of Idaho
Bachelor of Science (B.S.), Environmental Science, 3.5, Bachelor of Science (B.S.), Environmental Science, 3.5 at Huazhong Agricultural University
Doctor of Philosophy (Ph.D.), Agricultural and Biological Engineering, 4.0, Doctor of Philosophy (Ph.D.), Agricultural and Biological Engineering, 4.0 at The Ohio State University
Master of Science (MS), Business Analytics, 4.0, Master of Science (MS), Business Analytics, 4.0 at University of Cincinnati College of Business