James Guo
Quantitative Trader
Chicago, Illinois, United States
Summary
👤
Senior🎓
Top SchoolJames Guo is a quantitative trader based in Chicago with 11 years of engineering and trading experience bridging computer science and finance. He holds a BS in Computer Science & Engineering from UCLA and pursued a Master's in Finance at Princeton, combining rigorous quantitative training with production-grade software skills from internships at Uber, Verkada, IMC, and DRW. At DRW he progressed from a global macro vol intern to a full-time trader focused on FICC energy options and natural gas relative value, applying algorithmic strategies to market microstructure and volatility. His GitHub bio "AI4Science" signals a persistent interest in applying machine learning to scientific and quantitative problems, not just conventional trading models. Colleagues describe him as someone who moves fluidly between prototyping and deploying low-latency systems while keeping a research-minded approach to signal discovery.
12 years of coding experience
University of California, Los AngelesMaster's degree, Finance, Master's degree, Finance at Princeton University
English, Chinese
Github Skills (42)
caffe9
webgl9
python9
machine-learning9
tensorflow9
deep-learning9
mlmodel9
feature-matching9
faster-rcnn8
object-detection8
gpu-acceleration8
vision-transformer8
typescript8
re-identification8
javascript8
Programming languages (4)
Github contributions (5)
jamesguoxin/jamesguoxin.github.io
Apr 2016 - Jun 2026
Contributions:89 pushes in 10 years 4 months
jekylljekyll-theme
jamesguoxin/XFlow
Dec 2016 - Apr 2024
Contributions:1 push, 1 branch in 7 years 5 months
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