Matthew Liu is an incoming quant trader at Jane Street with eight years of software and research experience bridging data science, machine learning, and quantitative finance. He has built ML systems across academic and industry settings—from resilience in language models at Cambridge to transformer approaches for 0DTE options and sparse recommender work at NYU Stern—while teaching graduate decision models and analytics. Matthew pairs strong mathematical training (BS in Mathematics and Business, NYU) with hands-on research in self-organizing maps and robust label learning, and he brings practical data-science instincts honed at the Council on Foreign Relations. Outside work he blends analytical rigor with creative pursuits like cooking and sports, and is known among peers as a tinkaton enthusiast—suggesting a playful, curious approach to problem solving.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Mathematics and Business (Data Science/Statistics), Bachelor of Science - BS, Mathematics and Business (Data Science/Statistics) at New York University
Contributions:62 pushes, 1 branch in 7 years 2 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Matthew Liu - Incoming Quant Trader at Jane Street