Evans Xiang

Managing Director, Quantitative Modeling @ Two Sigma

About Evans Xiang

Evans Xiang is the Managing Director of Quantitative Modeling at Two Sigma, where he has worked since 2010. He holds degrees from Princeton University and Carnegie Mellon University, and has a background in financial engineering and applied mathematics.

Work at Two Sigma

Evans Xiang has been employed at Two Sigma since 2010. He began his career there as a Quantitative Research Intern in 2009 for two months before transitioning to a full-time role. In 2018, he was promoted to Managing Director of Quantitative Modeling, where he has been involved in quantitative modeling initiatives. His work focuses on data-driven approaches to investment management, leveraging his expertise in financial engineering and applied mathematics.

Education and Expertise

Evans Xiang has a strong educational background in quantitative disciplines. He earned a Bachelor of Science in Engineering (BSE) in Operations Research & Financial Engineering from Princeton University, completing his studies from 2006 to 2010. He then pursued a Master of Science (MS) in Computational Finance at Carnegie Mellon University's Tepper School of Business, graduating in 2015. His academic training supports his current role in quantitative modeling and investment strategies.

Background

Evans Xiang's professional journey began with a summer internship at Citigroup in 2008, where he worked as a Summer Analyst for two months. Following this, he gained further experience as a Quantitative Research Intern at Two Sigma in 2009. His career has been primarily based in the Greater New York City Area, where he has developed significant expertise in quantitative research and modeling.

Achievements

Since joining Two Sigma, Evans Xiang has contributed to various quantitative modeling projects. His role as Managing Director involves overseeing initiatives that apply data-driven methodologies to enhance investment management processes. His background in financial engineering and applied mathematics has played a crucial role in shaping his contributions to the firm.

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