Summary
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.
10 years of coding experience
Bachelor 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
Secondary School Diploma, Secondary School Diploma at University of Toronto Schools