Tian Ye
About Tian Ye
Tian Ye is a quantitative researcher currently employed at Squarepoint Capital in Hong Kong. He has a background in financial engineering and extensive experience in quantitative finance, having worked at several prestigious firms including Bank of America Merrill Lynch and AllianceBernstein.
Current Role at Squarepoint Capital
Tian Ye currently works as a Quantitative Researcher at Squarepoint Capital, a position he has held since 2021. His role involves applying quantitative methods to enhance trading strategies and improve financial models. The firm is known for its focus on data-driven investment strategies, aligning with Tian's expertise in quantitative research.
Previous Experience in Quantitative Finance
Tian Ye has extensive experience in the quantitative finance sector. He worked at Bank of America Merrill Lynch as a Quantitative Strategist in the Data & Innovation Group from 2019 to 2021. Prior to that, he was a Global Markets Quant Off-Cycle Associate on the Delta One Trading Team for two months in 2018. His experience also includes a role as a Multi-Asset Solutions Associate at AllianceBernstein for three months in 2019 and a Quantitative Summer Intern at PIMCO in 2018.
Educational Background in Financial Engineering
Tian Ye earned a Master of Science in Financial Engineering from Columbia University in the City of New York, completing his studies from 2017 to 2018. He previously obtained a Bachelor of Engineering in Industrial Engineering and Operations Research from Tsinghua University, where he ranked 3rd out of 69 in his program. Additionally, he holds a minor in Finance from Tsinghua University.
Internship Experience in Financial Markets
Tian Ye has participated in several internships that provided him with practical experience in financial markets. He interned at CICC in 2016 as a Summer Intern on the Fixed Income Trading Team and at CITIC Securities Company Limited as a Project Intern in the Stock Market Research Division. These roles contributed to his understanding of market dynamics and quantitative analysis.
Technical Skills in Programming
Tian Ye possesses a strong foundation in multiple programming languages essential for quantitative research and trading. His skills include proficiency in C, C++, Python, MATLAB, VBA, and R. This technical expertise supports his ability to develop algorithms and models used in financial analysis.