Summary
Zack Lee is a Carnegie Mellon-trained software engineer and quantitative researcher with a decade of industry experience blending computer science, mathematics, and machine learning. He has built low-latency trading and research systems at Jump Trading, interned at Jane Street and Hudson River Trading, and now applies his expertise to B2B commerce problems at Nuvo. Comfortable across computer architecture, cloud development, and data science, he pairs a programmer’s appreciation for language theory with hands-on quantitative modeling. As a former TA and research assistant, he also brings clear technical communication and a talent for translating rigorous math into practical code. Based in the New York City area, he’s actively open to roles in quantitative finance and software engineering that leverage both theory and production-grade implementation.
9 years of coding experience
2 years of employment as a software developer
North Carolina School of Science and Mathematics
Bachelors Mathematics and Computer Science, Bachelors Mathematics and Computer Science at Carnegie Mellon University
Chinese, English