Summary
Xiaoyu H is a trader and quantitative engineer with a decade of experience blending computer engineering, statistics, and financial modeling. Trained at UC Berkeley (EECS) and currently an MFE candidate at Berkeley Haas, Xiaoyu has moved from software and data roles into front-office trading, most recently at Citadel Securities focusing on index options after a quant internship in Morgan Stanley’s fixed income division. They have a proven track record accelerating Python analytics (Numba optimizations that cut runtimes >70%) and improving portfolio performance versus benchmarks, paired with applied risk and loan modeling experience. Xiaoyu also brings teaching experience in probability and algorithms, which informs a clear, methodical approach to complex quantitative problems. Based in New York, they combine production-grade engineering skills with market-facing trading instincts and a knack for squeezing performance from both code and strategies. An understated strength is their ability to translate rigorous academic concepts into fast, pragmatic trading infrastructure.
10 years of coding experience
3 years of employment as a software developer
Middle School, Middle School at Huayu Middle School
Bachelor's degree, EECS, Bachelor's degree, EECS at UC Berkeley College of Engineering
Master's degree, Financial Engineering, Master's degree, Financial Engineering at University of California, Berkeley, Haas School of Business
High School Diploma, College/University Preparatory and Advanced High School/Secondary Diploma Program, High School Diploma, College/University Preparatory and Advanced High School/Secondary Diploma Program at The Hill School
Chinese, English, Latin, Greek