Summary
Yuke Zhao is an AI engineer based in Portland with 10 years of experience bridging quantitative finance research and production AI products. He currently builds Terminal Search at Bloomberg after roles as a quantitative researcher there and as a quantitative strategist at GIC, where he applied ML and NLP to detect long-term stock signals from unstructured text like earnings transcripts. He holds dual BS degrees in Economics and Mathematics (3.88 GPA) from Renmin University and an MS in Mathematics in Finance from NYU, with additional study at UC San Diego. Technically fluent in Python, MATLAB, R, Java and SQL, he combines time-series prediction and systematic-investing experience with enterprise data work. A less obvious thread in his career is consistently moving models from exploratory research into end-user products, turning complex quantitative insights into practical tools.
10 years of coding experience
2 years of employment as a software developer
University of California, San Diego
Master of Science - MS, Mathematics in Finance, Master of Science - MS, Mathematics in Finance at New York University
BS in Economics, BS in Mathematics, 3.88/4.0, BS in Economics, BS in Mathematics, 3.88/4.0 at Renmin University of China
English, Chinese