Pinxing Ye
About Pinxing Ye
Pinxing Ye is the Managing Director at Two Sigma, where he has worked since 2015. He has extensive experience in developing quantitative trading strategies across multiple asset classes, having previously held positions at D. E. Shaw & Co and Vermillion Asset Management.
Current Role at Two Sigma
Pinxing Ye serves as Managing Director at Two Sigma, a position he has held since 2015. In this role, he focuses on the development of quantitative trading strategies that span multiple asset classes. His contributions have been significant in creating innovative trading strategies that align with the firm's objectives in the financial markets.
Previous Experience at D. E. Shaw & Co
Prior to his current position, Pinxing Ye worked as an Analyst at D. E. Shaw & Co from 2006 to 2008. During his two years at the firm, he gained experience in quantitative analysis and financial modeling, which laid the groundwork for his future roles in asset management and trading strategy development.
Experience at Vermillion Asset Management
Pinxing Ye was a Portfolio Manager at Vermillion Asset Management, part of the Carlyle Group, from 2008 to 2014. Over the course of six years, he managed investment portfolios and developed strategies that contributed to the firm's investment performance. His role involved analyzing market trends and optimizing asset allocations.
Educational Background in Computer Science
Pinxing Ye completed his Bachelor of Science (BS) in Computer Science at Sun Yat-sen University from 2000 to 2004. He furthered his education by obtaining a Master of Science (MS) in Computer Science from Columbia University, where he studied from 2004 to 2005. His academic background in computer science supports his expertise in quantitative trading and algorithm development.
Internship Experience at Microsoft Corporation
In 2005, Pinxing Ye interned as a Software Development Engineer (SDE) at Microsoft Corporation for three months. This internship provided him with practical experience in software development and programming, enhancing his technical skills that are applicable in quantitative finance.