Chris Sun is a quantitative trader with a strong dual background in computer science and quantitative finance, currently advancing his skills through a Master's in Finance at Princeton. He brought production-grade software experience from internships at WhatsApp, Yext, Thomson Reuters, and Quantlab before joining SIG as a trading intern and then a full-time quantitative trader. Comfortable at the intersection of low-latency systems and statistical modeling, he leverages 13 years of hands-on experience across trading, software development, and teaching. He also has a track record of mentoring and curriculum development—having taught standardized tests and served as a TA/mentor at UT Austin—which informs his clear, data-driven approach to problem solving. An observant collaborator who’s taught English and computer science to diverse learners, he often translates complex quantitative ideas into accessible explanations for both technical and non-technical audiences.
12 years of coding experience
1 year of employment as a software developer
Master's degree, Finance, Master's degree, Finance at Princeton University
Bachelor’s Degree, Computer Science, Turing Scholars, Bachelor’s Degree, Computer Science, Turing Scholars at The University of Texas at Austin
High School, High School at Plano West Senior High School
Bachelor’s Degree, Business Honors, Quantitative Finance, Bachelor’s Degree, Business Honors, Quantitative Finance at The University of Texas at Austin - Red McCombs School of Business
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