Summary
Katherine Ji is a risk manager and data scientist with 10 years of experience applying statistical modeling and machine learning to fraud, credit, and trust-and-safety problems across global fintech and platform companies. With an M.S. in Statistics from UC Davis, she has built decision-optimization systems and monitoring pipelines at PayPal, JD.com, DiDi, Lexin, Trip.com and now KN Group, balancing loss reduction with customer experience and revenue. Comfortable coding in Python and C++ and fluent with large-scale data analysis, she combines rigorous academic training with hands-on production deployment. Based in Shanghai, she particularly excels at translating exploratory analyses into automated rules and model-tracking frameworks that scale across customer lifecycles—an often-overlooked bridge between research and operations in risk teams.
10 years of coding experience
5 years of employment as a software developer
Master’s Degree, Statistics, Master’s Degree, Statistics at University of California, Davis
Bachelor’s Degree, Finance, General, Bachelor’s Degree, Finance, General at Anhui University of Finance and Economics
English, Chinese