Trexquant Investment LP
Sihao Liang is a Data Scientist at Trexquant Investment LP since March 2018, previously serving as a Data Scientist Trainee. Prior experience includes roles as a Data Analyst Intern at Schneider National and a Quantitative Trading Winter Analyst at IMC - financial markets, both in 2017. In 2016, Sihao completed an internship as an Algorithm Engineer Intern at Pci-Suntek Technology Co., Ltd., where skills were developed in deep learning and face detection algorithm creation. Earlier experience includes a Business Operations Analyst Intern position at Citco Fund Services in 2014, focusing on trade validation and operational reporting. Sihao holds a Master’s Degree in Computer Science from the University of Illinois Urbana-Champaign and a combined Bachelor of Arts and Master of Arts in Statistics from Boston University.
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.