Summary
Hermish Mehta is a quantitative research analyst at Citadel Securities with nine years of experience spanning academia and finance. Based in Boston, he holds a B.S. in Electrical Engineering & Computer Sciences with a Statistics specialization from UC Berkeley, where he also served as a Teaching Assistant and conducted undergraduate research in Berkeley AI Research and the EECS department. He joined Citadel Securities as a Quantitative Research Analyst Intern in 2020 and advanced to a full-time role in 2021, applying rigorous data-driven methods to market data. His profile blends strong mathematical foundations with hands-on software and systems thinking, enabling practical, production-ready research in fast-moving markets. An early track record of research and teaching at Berkeley, along with his scholastic foundation from the University of Toronto Schools, underscores a consistent commitment to rigorous problem solving.
9 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