Xinye is a second-year student in the Quantitative Finance and Risk Management master’s program. He earned a bachelor’s degree in Accounting at Sichuan University. He also studied mathematics and statistics at Columbia University for two semesters as part of an exchange program. Xinye has a strong interest in different trading strategies with mathematical models and execution by programming. He has programming experience in Python, R and Java. He has performed research on multi-factor strategies and pairs trading strategies applied to Chinese stock market.
In the summer of 2019, Xinye interned with Deutsche Bank (DWS Group) in Shanghai. He also served on a winning team for the 2019 IAQF Academic Student Competition, for which he worked on a project to apply a machine learning approach to forecasting credit spreads.