Summary
Jerry Xia is a quantitative analyst with 10 years' experience building systematic trading systems and volatility models in Hong Kong, currently driving trading algos and low-latency vol infrastructure at UBS. He blends strong software engineering (including kdb, CUDA GPU Monte Carlo, and production engines) with deep financial math—authoring an explicit implied volatility inversion formula and developing hedged least-square methods for American options. His desk-facing work spans vol management, issuance/hedging automation, flow prediction and counterparty clustering, while his earlier quant internships delivered demonstrable P&L and factor-driven alpha improvements. Comfortable across research, engineering and trading, he has shipped production warrant control, quoting and valuation library components that bridge model theory and live execution. Known for pragmatic, high-performance implementations, he pairs a 4.0 Financial Engineering master's with hands-on open-source proofs-of-concept (Monte Carlo and treasury trading repos) that make complex models operational.
10 years of coding experience
3 years of employment as a software developer
Bachelor’s Degree, Geophysics, 3.6/4.0, Bachelor’s Degree, Geophysics, 3.6/4.0 at University of Science and Technology of China
Master's degree, Financial Engineering, 4.0/4.0, Master's degree, Financial Engineering, 4.0/4.0 at Stevens Institute of Technology
Chinese, English