Trexquant Investment LP
Reetahan Mukhopadhyay is a Machine Learning Intern at Virtualitics, Inc. since January 2023 and has previously held the same position at the company from April 2022 to August 2022. In addition, Reetahan serves as a Teaching Assistant at Columbia University Department of Computer Science. Experience also includes a role as Research Assistant at Lamont-Doherty Earth Observatory and Teaching Assistant at Columbia University. Additional positions comprise Undergraduate Research Assistant in the Department of Atmospheric Sciences, Course Assistant for CS411 at the University of Illinois Urbana-Champaign, Emerging Technology Intern at Synchrony, Content x Diversity Team Staff at Reflections | Projections, and Artificial Intelligence Intern at Mavenir. Reetahan holds a Master of Science in Computer Science from Columbia University and a Bachelor of Science in Computer Science from the University of Illinois Urbana-Champaign, along with a high school diploma from Andover High School.
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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.