Matthew Liu

Incoming Quant Trader at Jane Street

New York, New York, United States
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Summary

👤
Senior
🎓
Top School
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.
code8 years of coding experience
job2 years of employment as a software developer
bookBachelor of Science - BS, Mathematics and Business (Data Science/Statistics), Bachelor of Science - BS, Mathematics and Business (Data Science/Statistics) at New York University
bookCentennial High School
languagesEnglish, Chinese
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Github Skills (16)

directive7
number-formatter7
npm7
javascript6
cli5
package-manager4
percentage4
uploader4
filepond4
formatter3
currency3
uploads3
file-upload3
vue3
mask2

Programming languages (2)

TypeScriptJavaScript

Github contributions (5)

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matty-liu/petlove

Oct 2017 - Jan 2018

Contributions:204 commits, 49 pushes, 4 branches in 3 months
Contributions:62 pushes, 1 branch in 7 years 2 months
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Matthew Liu - Incoming Quant Trader at Jane Street