Cheng Shan

Quantitative Researcher @ Squarepoint Capital

About Cheng Shan

Cheng Shan is a Quantitative Researcher specializing in systematic fixed income trading strategies at Squarepoint Capital in Hong Kong SAR. With a solid foundation in finance and data science, he has gained international experience in cities such as Paris, Singapore, and Hong Kong.

Work at Squarepoint Capital

Cheng Shan has been employed at Squarepoint Capital as a Quantitative Researcher since 2021, based in Hong Kong SAR. His role focuses on developing systematic fixed income trading strategies. Prior to his current position, he worked at Squarepoint Capital in Paris from 2019 to 2021, also as a Quantitative Researcher. Additionally, he gained experience as an intern at Squarepoint Capital in Singapore for four months in 2019.

Education and Expertise

Cheng Shan holds a Master's degree in Probability and Finance from Pierre and Marie Curie University, which he completed from 2019 to 2020. He also earned an Engineer's degree in Financial Mathematics and Data Science from École Polytechnique between 2016 and 2019. His undergraduate studies were completed at Nanjing University, where he obtained a Bachelor of Science in Physics from 2012 to 2016. His educational background supports his expertise in quantitative research and systematic trading.

Background

Cheng Shan has a diverse international background, having worked in multiple locations including Paris, Singapore, and Hong Kong. His experience spans various roles in the finance sector, particularly in quantitative research. This international exposure has contributed to his understanding of global financial markets and trading strategies.

Internship Experience

Before his roles at Squarepoint Capital, Cheng Shan gained practical experience as a Student Intern at AXA Global Direct in Paris for two months in 2018. This internship provided him with foundational knowledge in the finance industry, complementing his academic studies and paving the way for his subsequent positions in quantitative research.

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