Hermish Mehta

Quantitative Research Analyst

Boston, Massachusetts, United States
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Summary

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Senior
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Top School
Hermish Mehta is a quantitative research analyst at Citadel Securities with a strong foundation in Electrical Engineering, Computer Sciences, and Statistics from UC Berkeley. He transitioned from research and teaching roles at Berkeley—where he contributed to AI and EECS projects and served as a teaching assistant—into quantitative finance, bringing academic rigor to market-facing research. At Citadel he progressed from an intern to a full-time analyst, applying statistical modeling and engineering skills to high-frequency trading problems. Based in Boston, he blends experimental research experience with production-minded quantitative development, and his background suggests a knack for translating complex models into robust, real-world strategies.
code10 years of coding experience
bookBachelor of Science (B.S.), Electrical Engineering & Computer Sciences, Statistics, Bachelor of Science (B.S.), Electrical Engineering & Computer Sciences, Statistics at UC Berkeley College of Engineering
bookSecondary School Diploma, Secondary School Diploma at University of Toronto Schools
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Github Skills (10)

kappa9
python7
abaqus6
textbook5
eta4
science4
machine-learning3
regression3
cognitive-science3
visualization2

Programming languages (3)

JavaScriptJupyter NotebookPython

Github contributions (5)

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hermish/cvx-graph-algorithms

Aug 2018 - Jul 2019

Contributions:1 release, 22 commits, 18 pushes in 11 months
hermish/website

Jun 2017 - May 2021

Contributions:58 pushes, 1 branch in 4 years
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Hermish Mehta - Quantitative Research Analyst