Romain Guion is a senior quantitative researcher and technology leader with over a decade of experience building production-grade models and multi-TB data systems for energy markets, shipping, and finance. He combines hands-on mathematical modeling with a proven ability to scale teams—from founding small data groups to leading 20+ engineers and scientists—while owning product-grade data pipelines and ML deployment. His work spans vessel tracking, ETA prediction, port congestion forecasting and commercial asset-level supply/demand balances, translating noisy signals into actionable market intelligence. Comfortable across Python, TensorFlow, Rust, JVM languages and cloud-native stacks, he bridges research, engineering and business strategy to deliver measurable commercial impact. Notably, he has driven SaaS data products and OKR-led initiatives at Vortexa and moved into high-frequency quantitative roles at Citadel and Squarepoint. Based in Stony Stratford, he thrives at the intersection of technical innovation, team building and market-facing decision support.
8 years of coding experience
6 years of employment as a software developer
Strategy & marketing course and workshop, Strategy & marketing course and workshop at Cambridge Judge Business School
Master of Science - MS Applied Mathematics, Master of Science - MS Applied Mathematics at CentraleSupélec
Master of Philosophy (MPhil) Energy Technologies Engineering, Master of Philosophy (MPhil) Energy Technologies Engineering at University of Cambridge
Lycée Louis Pasteur (first two years of university - "French preparatory classes")
Contributions:6 PRs, 154 pushes, 7 branches in 3 years 1 month
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