Trexquant Investment LP
Yan (Jonathan) Chen is a Global Alpha Researcher at Trexquant Investment LP since September 2018, specializing in generating market-neutral medium-frequency Alphas and developing trading strategies. Prior to this role, Yan served as a Teaching Assistant at Columbia University and completed internships focused on quantitative research at Algo Depth and Guotai Junan Securities. Yan also holds a Master of Arts in Mathematics of Finance from Columbia University, alongside dual Bachelor's degrees in Physics and Economics from Peking University. Early academic experience includes research assistant positions at Peking University, simulating experiments related to quantum materials and particle physics.
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.