Ge Jin
About Ge Jin
Ge Jin is a quantitative trader with extensive academic and professional experience in finance and engineering. He has worked at Laurion Capital since 2007 and holds advanced degrees from Columbia University, Boston University, and the University of Science and Technology of China.
Work at Laurion Capital Management
Ge Jin has been employed at Laurion Capital since 2007, serving as a Quantitative Trader. His role involves utilizing quantitative methods to inform trading strategies and decisions. The firm is located at 360 Madison Avenue, Suite 1900. Prior to his current position, he held the title of Head of Quantitative Trading at Laurion Capital from 2011 to 2012, where he oversaw the quantitative trading team and contributed to the development of trading algorithms.
Education and Expertise
Ge Jin has a strong academic background in finance and engineering. He earned a Master of Arts in Mathematics of Finance from Columbia University in the City of New York, completing his studies in 2007. Prior to that, he obtained a PhD in Biomedical Engineering from Boston University, where he studied from 1998 to 2005. His undergraduate degree in Biology was awarded by the University of Science and Technology of China, where he studied from 1993 to 1998.
Background
Ge Jin's educational journey reflects a diverse foundation in both finance and engineering. His transition from Biomedical Engineering to Mathematics of Finance indicates a strong analytical skill set. His experience in quantitative trading is supported by his extensive academic training, equipping him with the necessary tools to analyze complex financial data and develop effective trading strategies.
Professional Experience
Ge Jin has accumulated significant experience in the field of quantitative trading over the years. Since joining Laurion Capital in 2007, he has contributed to the firm's trading operations and strategy development. His previous role as Head of Quantitative Trading for nearly a year demonstrates his leadership capabilities within the quantitative trading domain.