Tianhao Wang

Quantitative Research Analyst @ Squarepoint Capital

About Tianhao Wang

Tianhao Wang is a Quantitative Research Analyst at Squarepoint Capital in London, England, with a focus on algorithmic and high-frequency trading. He holds a Bachelor of Science in Mathematics and Economics from the University of Toronto and a Master of Science in Mathematics and Finance from Imperial College London.

Work at Squarepoint Capital

Tianhao Wang has been employed as a Quantitative Research Analyst at Squarepoint Capital since 2022. He is based in London, England, and has accumulated two years of experience in this role. His work focuses on quantitative analysis, contributing to the firm's strategies in algorithmic and high-frequency trading.

Education and Expertise

Tianhao Wang holds a Bachelor of Science in Mathematics and Economics from the University of Toronto, where he studied from 2017 to 2021. He furthered his education by obtaining a Master of Science in Mathematics and Finance from Imperial College London in 2022. His academic background provides a solid foundation in statistics, mathematics, and economics, which supports his research interests and professional work.

Background in Teaching and Research

Tianhao Wang has experience as a Teaching Assistant at the University of Toronto, where he assisted in courses such as STA257H1 Probability and Statistics I and MATA37 Calculus I from 2019 to 2022. His role involved supporting students and enhancing their understanding of complex mathematical concepts. Additionally, he completed a Quantitative Research Internship at Thalesians Ltd in 2022, where he gained practical experience in quantitative research.

Technical Skills and Research Interests

Tianhao Wang possesses four years of experience in programming languages, specifically Python and R, and is familiar with C++. His research interests include the intersection of algorithmic and high-frequency trading, as well as applications in machine and deep reinforcement learning. He is particularly focused on Nash-DQN and decentralized Q-learning, which are areas of significant relevance in quantitative finance.

Achievements and Awards

During his academic career, Tianhao Wang received the University of Toronto Excellent Student Awards (UTEA), which is valued at $6,000. This award recognizes his academic excellence and contributions to the university community, reflecting his commitment to his studies and research.

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