Trexquant Investment LP
Zehua Yu is a Fixed Income Quantitative Research Associate at AllianceBernstein, starting in January 2024, specializing in systematic fixed income. Prior experience includes roles as a Quantitative Research Intern at Quantbot Technologies LP, focusing on mid-frequency strategies based on text data, and as a Quantitative Strategy Intern at Egret Quant, working with equity trading signals. Additionally, Zehua interned as a Quant Intern at Dongguan Securities, where daily stock trading signals were identified from intraday price and volume data. Zehua holds a Master of Science in Financial Engineering from Columbia University and a Bachelor of Economics from Fudan University, alongside a high school diploma from Shanghai High School.
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.