Diwen Zhu
About Diwen Zhu
Diwen Zhu is a Quantitative Researcher with a background in Operations Research from Columbia University and Mathematics from Shanghai Jiao Tong University. He has experience as a Data Scientist at J.P. Morgan and has worked at Laurion Capital Management LP since 2016.
Work at Laurion Capital Management
Diwen Zhu has been employed at Laurion Capital Management LP since 2016. In the role of Quantitative Researcher, Zhu focuses on developing quantitative models and strategies to enhance investment decisions. The position involves analyzing large datasets and applying statistical methods to identify trends and opportunities within financial markets. Zhu's expertise contributes to the firm's overall research efforts and investment performance.
Education and Expertise
Diwen Zhu holds a degree in Operations Research from Columbia University. This education provides a strong foundation in optimization, statistical analysis, and decision-making processes. Prior to this, Zhu studied Mathematics and Applied Mathematics at Shanghai Jiao Tong University, further enhancing analytical skills and quantitative reasoning. This educational background supports Zhu's work in quantitative research and data analysis.
Background
Before joining Laurion Capital Management, Diwen Zhu worked as a Data Scientist at J.P. Morgan from 2015 to 2016. During this year-long tenure in the Greater New York City Area, Zhu gained experience in data analysis and financial modeling. This role involved leveraging data to inform business decisions and improve operational efficiency, laying the groundwork for Zhu's current position in quantitative research.
Professional Experience
Diwen Zhu has accumulated significant experience in the finance and data science sectors. Starting at J.P. Morgan, Zhu developed skills in data analysis and quantitative modeling. Since 2016, Zhu has been engaged in quantitative research at Laurion Capital Management, focusing on enhancing investment strategies through rigorous analysis and model development. This professional journey reflects a commitment to leveraging quantitative techniques in financial markets.