Cyril Garcia
Quantitative Researcher
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolCyril Garcia is a quantitative researcher and medium-frequency trader with 11 years of experience building stat-arb and automated trading systems across equities and crypto. He has progressed from trading strat internships at Goldman and BlackRock to multi-year roles at Cubist and now Quadrature, applying machine learning and parallel programming to mid-frequency market-making and derivatives strategies. Trained in rigorous mathematics and statistics at ENSAE and Princeton (Quantitative Finance), he blends theoretical depth with production-grade engineering. Notably, his work spans both equity electronic market making and crypto derivatives, demonstrating an ability to translate academic models into low-latency, scalable trading infrastructure.
11 years of coding experience
Master's degree, Quantitative Finance, Master's degree, Quantitative Finance at Princeton UniversityLicentiate degree, Mathematics, Licentiate degree, Mathematics at Lycée Sainte-GenevièveMaster's degree, Mathematics and Statistics, Master's degree, Mathematics and Statistics at ENSAE - Institut Polytechnique
French, English
Github Skills (3)
computation2
statistics2
time-series1
Programming languages (2)
Github contributions (5)
cdldl/ML-FX
Feb 2018 - Jul 2018
Contributions:16 commits, 14 pushes, 1 branch in 4 months
cdldl/RinFinance2023
May 2023 - May 2023
Contributions:25 pushes, 1 branch in 15 days
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