Lisha Chen

Non-Compete (2 Years) at Citadel Securities

Greater Chicago Area United States
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Summary

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Senior
🎓
Top School
Lisha Chen is an experienced quantitative researcher with over a decade applying statistical learning, data mining, and quantitative risk analysis across academia and finance. She earned a Ph.D. in Statistics from Wharton and transitioned from an assistant professorship at Yale to senior modeling and quant researcher roles at GE Capital and Citadel Securities, where she led advanced calibration, Monte Carlo simulation, and numerical optimization work. Comfortable in R and familiar with C, MATLAB, and SAS, she blends deep theoretical foundations with practical model implementation for high-stakes trading and risk environments. Known for strong quantitative rigor, she brings a track record of turning complex statistical methods into robust, production-ready models.
code10 years of coding experience
job16 years of employment as a software developer
bookBachelor's Degree, Mathematical Statistics and Probability, Bachelor's Degree, Mathematical Statistics and Probability at Peking University
bookDoctor of Philosophy (Ph.D.), Statistics, Doctor of Philosophy (Ph.D.), Statistics at University of Pennsylvania - The Wharton School
languagesEnglish, Chinese

Github contributions (2)

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lisha-chen/Image-processing

Apr 2016 - Dec 2016

Contributions:22 commits in 7 months
lishaChen/brain-form

Aug 2019 - Aug 2019

Contributions:1 push, 1 branch in 1 day
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Lisha Chen - Non-Compete (2 Years) at Citadel Securities