Hang Yuan

Hang Yuan

Quantitative Researcher @ Squarepoint Capital

About Hang Yuan

Hang Yuan is a quantitative researcher with a Master's degree in Mathematical and Computational Finance from the University of Oxford. He has worked at Squarepoint Capital since 2017 and previously interned at Goldman Sachs in 2016.

Work at Squarepoint Capital

Hang Yuan has been employed at Squarepoint Capital as a Quantitative Researcher since 2017. In this role, Yuan applies quantitative methods to analyze financial data and develop trading strategies. The position involves extensive use of mathematical models and computational techniques to optimize investment decisions. Yuan's contributions to the team focus on enhancing the firm's trading capabilities through data-driven insights.

Education and Expertise

Hang Yuan holds a Master's degree in Mathematical and Computational Finance from the University of Oxford, where he studied from 2015 to 2016. Prior to this, Yuan completed a Bachelor of Economics with honors in Finance at Shanghai Jiao Tong University from 2011 to 2015. This educational background provides a strong foundation in both theoretical and practical aspects of finance and quantitative analysis.

Background

Hang Yuan began his academic journey at Shanghai Jiao Tong University, where he focused on Finance and graduated with a Bachelor of Economics in 2015. Following this, he pursued further studies at the University of Oxford, earning a Master's degree in Mathematical and Computational Finance in 2016. His early career included a position as a Securities Summer Intern at Goldman Sachs in London, where he gained practical experience in the finance industry.

Internship Experience at Goldman Sachs

In 2016, Hang Yuan completed a two-month internship at Goldman Sachs in London as a Securities Summer Intern. This role provided him with exposure to the financial services industry and allowed him to apply his academic knowledge in a practical setting. The internship experience contributed to his understanding of securities and trading mechanisms, which later informed his work as a Quantitative Researcher.

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