Summary
Guoyu Zhu is a data-driven risk strategy leader with 12+ years building machine learning and analytics programs across payments, e-commerce, retail and ride‑hailing, currently leading Global Risk Strategy Analytics at Uber. He specializes in payment and marketplace fraud, real‑time decisioning, and loss P&L management, having scaled risk solutions across 65+ countries and 20+ payment methods. Guoyu has a track record of translating graph analytics, behavior modeling and A/B experimentation into actionable product changes that improve conversion and reduce loss, and he holds a patent for detecting fraudulent store returns from his Walmart tenure. Comfortable both leading teams and rolling up his sleeves on model development (SAS/R/Python, SQL, Hadoop, Tableau), he combines actuarial rigor with product sensibility from an MS in Statistics. Notably, he has moved fraud prevention from research into production repeatedly, balancing rapid incident response with long‑term strategy and budget planning.
11 years of coding experience
7 years of employment as a software developer
M.S. Management Information Systems, M.S. Management Information Systems at Xi'an Jiaotong University
M.S. Statistics, M.S. Statistics at Michigan State University
English, Chinese