Debajyoti Nandy is a quantitative researcher with 11 years of experience applying mathematics, statistics, and machine learning to high-frequency trading and systematic strategies, currently at IMC Trading in the Greater Chicago area. He holds an MS in Quantitative Finance from Carnegie Mellon and a B.Tech with honors in Robotics from IIT Bombay, blending rigorous academic foundations with hands-on market experience at IMC, Goldman Sachs, and PanAgora. Known for translating theoretical models into low-latency trading signals, he pairs deep interest in pure mathematics and physics with practical engineering to close the gap between research and production. Colleagues describe him as a versatile problem solver and science enthusiast who brings mathematical rigor to fast-paced trading decisions.
11 years of coding experience
6 years of employment as a software developer
Indian Institute of Technology Bombay
H.S+2 Science, H.S+2 Science at U.K.A
Master of Science - MS Quantitative Finance, Master of Science - MS Quantitative Finance at Carnegie Mellon University
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