Omede Firouz is a quantitative researcher with 11 years of experience specializing in mid- and high-frequency trading, currently developing signals, ML models, and low-latency execution systems at Jump Trading in New York. He combines a strong software engineering foundation from Palantir and early ML work with rigorous operations research training from UC Berkeley and Stanford, enabling him to turn complex data into profitable trading strategies. Previously he built and managed a portfolio of futures strategies at Teza and has hands-on experience across market-making, latency optimization, and execution. Notably, his background spans both scientific research in solid-state physics and production software for analytics and games, reflecting an unusual blend of theory, engineering discipline, and product-oriented delivery.
11 years of coding experience
2 years of employment as a software developer
Bachelor's Degree, Bioengineering and Operations Research, Bachelor's Degree, Bioengineering and Operations Research at University of California, Berkeley
Master's Degree, Management Science and Engineering, Operations Research, Master's Degree, Management Science and Engineering, Operations Research at Stanford University
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