Trexquant Investment LP
Saransh Verma is a skilled professional with a background in computer science, holding a Bachelor of Technology degree from the Indian Institute of Technology, Delhi, completed in 2020. Currently serving as a Production Engineer and Quantitative Researcher at Trexquant Investment LP since September 2020, Saransh has gained valuable experience in quantitative research and engineering. Prior to this role, Saransh was a Machine Learning Intern at Konscience from May 2019 to July 2019, further enhancing expertise in the field.
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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.