Trexquant Investment LP
Junyi Zhang is a data scientist at Trexquant Investment LP since June 2019, previously holding a position as a Business Analytics Associate II at Management Science Associates, Inc. from July 2018 to May 2019. At Management Science Associates, Junyi Zhang enhanced price elasticity models and developed an Out-Of-Stock prevention model, achieving significant improvements in model sensitivity. Prior experience includes consulting projects at Carnegie Mellon University, where data automation and statistical analysis were key responsibilities. Junyi Zhang holds a Master’s degree in Statistics from Carnegie Mellon University and dual Bachelor’s degrees in Mathematics and Economics from Lafayette College.
Trexquant Investment LP
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Being a quantitative finance firm that uses Machine Learning (ML) to create multi-asset portfolios and seek profit from the market, Trexquant has continuously improved its investment and research platform since starting operations, leveraging new and emerging technologies. Trexquant uses rigorous quantitative methods to create multi-asset portfolios in global markets. To do this, Trexquant develops trading signals using its vast and continuously growing collection of data variables used as inputs for more complex trading models called Strategies. The result is an ever-growing and adapting engine built from thousands of intricate models and tens of thousands of signals, tailor-made with the goal to outperform the market during any condition. Capital is managed across 5,500+ cash equity positions across the United States, Europe, Japan, Australia, and Canada.