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.
11 years of coding experience
University of California, Los AngelesMaster's degree, Finance, Master's degree, Finance at Princeton University
English, Chinese
Github Skills (50)
deploying10
python10
deep-learning10
toolbox9
javascript9
caffe9
webgl9
machine-learning9
tensorflow9
neural-network9
object-detection9
feature-matching8
faster-rcnn8
gpu-acceleration8
vision-transformer8
Programming languages (4)
Github contributions (5)
jamesguoxin/XFlow
Dec 2016 - Apr 2024
Contributions:1 push, 1 branch in 7 years 5 months
jamesguoxin/Algorithms
Sep 2014 - Nov 2015
Contributions:11 commits, 6 pushes in 1 year 2 months
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