Trexquant Investment LP
Denis Lapitski started their work experience in 2003 at the University of Denver as a Research Assistant for Quantitative Atmospheric Spectroscopy. Denis then transitioned to a Teaching Assistant and Tutor role in the same institution. In 2014, they joined Trexquant Investment LP as a Trading Strategist before becoming the Director of Strategy Research in January 2016.
Denis Lapitski obtained a Bachelor of Science degree in Physics and Mathematics from the University of Denver, where they attended from 2002 to 2006. Denis then pursued a Master of Science degree in Mathematical Modeling and Scientific Computing at the University of Oxford, completing it in 2007. Following this, they continued their academic journey at the University of Oxford and obtained a Doctor of Philosophy degree in Applied Mathematics, which they completed in 2013.
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.