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.

Trading & Exchanges

Trexquant Investment LP

Tyger Park

Cara C.

Sujay Prasad Srivastava

Peng Gong

Denis Lapitski

Michael Marinic

Isabelle Chan

Kyle Nemchek Cfa

The Engineering Team at Trexquant Investment LP plays a critical role in developing and maintaining the advanced technological infrastructure that underpins the firm's quantitative trading strategies. This team, composed of Software Engineers, Software Developers, and Production Engineers, focuses on building scalable and efficient software solutions, optimizing algorithm performance, and ensuring the seamless integration of data across various platforms to enhance the firm’s investment strategies and portfolio management capabilities. Their work enables Trexquant to harness vast datasets effectively, driving innovation and continual improvement in its trading models.

Engineering Team

Quantitative Research Team

Finance and Strategy Team

Engineering Team

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Team members

Other teams at Trexquant Investment LP

Quantitative Research Team

Finance and Strategy Team