Trexquant Investment LP
Ting Qiao is an experienced trading strategist at Trexquant Investment LP since May 2015, previously contributing to the derivatives and quantitative investment department at Sinolink Securities CO., LTD, where key projects included simulating stock selection strategies based on fundamental analysis in China. As a project lead for the SUFE Innovative and Experimental Project, Ting Qiao constructed and optimized fundamental models, coordinated team tasks, and presented findings to the Project Appraisal Committee. Early experience includes volunteering with Junior Achievement in SUFE, supporting workshop activities and enhancing course feedback processes. Ting Qiao holds a Master's degree in Financial Engineering from the University of Michigan and a Bachelor's degree in Financial Engineering from Shanghai University of Finance and Economics.
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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.