Chris Chapman

Quantitative Trader @ Two Sigma

About Chris Chapman

Chris Chapman is a Quantitative Trader at Two Sigma, where he has worked since 2020. He holds an MBA from the University of Chicago Booth School of Business and a Bachelor of Engineering in Computer Engineering from the University of Illinois Urbana-Champaign.

Work at Two Sigma

Chris Chapman has been employed at Two Sigma since 2020, serving as a Quantitative Trader. His role involves working on Options Market Making strategies and systems. Two Sigma is known for its data-driven approach to trading and investment, and Chapman's focus on data and iterative development aligns with the firm's objectives. He has contributed to enhancing the firm's trading capabilities through his expertise in designing modular trading systems.

Education and Expertise

Chris Chapman holds a Master of Business Administration (MBA) with Honors Distinction from The University of Chicago Booth School of Business, where he studied Finance and Entrepreneurship from 2014 to 2017. He also earned a Bachelor of Engineering (B.E.) in Computer Engineering from the University of Illinois Urbana-Champaign, completing his studies from 2000 to 2004. His educational background provides a strong foundation for his work in quantitative trading and technology-oriented strategies.

Background

Before joining Two Sigma, Chris Chapman worked at IMC Trading for 12 years, where he held various roles including Trader/Strategist and Head of Technology. His tenure at IMC Trading spanned from 2005 to 2019, during which he operated in multiple locations including the Greater Chicago Area, Amsterdam, and Zug. He took a sabbatical from February 2019 to April 2020 to explore new opportunities before transitioning to his current role.

Achievements

Throughout his career, Chris Chapman has demonstrated a strong focus on data-driven development and business growth. He has experience in leading teams from the design of trading strategies to the implementation of technology solutions. His expertise in creating modular trading systems has contributed to increasing innovation speed within trading environments. His work emphasizes profit-driven approaches and iterative processes.

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