Agnibho Roy
Semi-Systematic Quantitative Trader
Coppell, Texas, United States
Summary
👤
Senior🎓
Top SchoolAgnibho Roy is a Semi-Systematic Quantitative Trader at Citadel Securities and a dual-degree undergraduate at UC Berkeley studying EECS and Applied Mathematics with a statistics concentration. He brings 14 years of programming and quantitative experience spanning software engineering at Fidelity, algorithmic trading at RBC, options and ETF trading internships, and theoretical ML research at Berkeley RISE Lab and MIT. As course staff for DATA 100 and CS 70 he has designed exams and projects, blending technical depth with pedagogy and a knack for explaining complex concepts. Passionate about markets and the craft of programming, he describes coding as art and has a background in game design and amateur physics that informs his creative approach to modeling. Based in Coppell, Texas, he focuses on domestic ETFs and systematic strategies while continuing research at UC Berkeley, combining production trading with academic curiosity.
14 years of coding experience
Bachelor of Science - BS, Electrical Engineering and Computer Sciences, Applied Mathematics (Statistics Concentration), Bachelor of Science - BS, Electrical Engineering and Computer Sciences, Applied Mathematics (Statistics Concentration) at University of California, BerkeleyValedictorian (Rank 1/900) - Class of 2018 (4.0, 4.75 Weighted), Valedictorian (Rank 1/900) - Class of 2018 (4.0, 4.75 Weighted) at Coppell High School
English, Spanish, Hindi, Bengali
Github Skills (45)
debugging10
ssl10
http-header10
proxy10
websocket10
fiddler10
security10
modular9
python9
http9
toolchain9
ja39
mitmproxy9
man-in-the-middle9
clang8
Programming languages (7)
Github contributions (5)
roytu/impede
Dec 2015 - Mar 2017
Contributions:49 commits, 2 PRs, 50 pushes in 1 year 3 months
pedalcircuitsmidiwipcircuit
ThatSnail/pySymReg
Jun 2014 - Jul 2014
Contributions:71 commits in 18 days
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