Jingzhi builds the technical indicators for trading and risk models and contributes to refining the systematic trading strategies. Seeking to improve the existing systematic trading signals, he is also responsible for implementing advanced techniques such as Machine Learning and NLP to enhance the performance risk and trading models.
Jingzhi holds a Bachelor’s degree from Shanghai University with honors in Mathematics and Applied Mathematics. Now he is pursuing a MA degree in Mathematical Finance at Columbia University.
As a junior in the quantitative finance industry, Jingzhi also plays a role as a music producer in Hip-hop music. He is also passionate about boxing and exploring new cuisines.