Dimitry Foures
Quantitative Researcher
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolDimitry Foures is a quantitative researcher in London with 12 years of experience applying machine learning and computational methods to financial markets. He holds advanced degrees in physics, fluid mechanics and a PhD in computational and applied mathematics, bringing strong theoretical foundations to practical trading problems. His career spans research roles at Maven Securities, Qube Research & Technologies and RKR Epsilon, where he built and deployed quantitative models for market strategies. An active contributor to open-source trading infrastructure, he developed core environment logic, tests and tooling for the Trading-Gym reinforcement learning project, signaling a focus on robust, reproducible experimentation. Known for bridging rigorous academic training with production-focused engineering, he favors clean backend implementations that enable scalable research-to-production workflows.
12 years of coding experience
6 years of employment as a software developer
Master's degree, Physics, Master's degree, Physics at Ecole normale supérieure de LyonDoctor of Philosophy (PhD), Computational and Applied Mathematics, Doctor of Philosophy (PhD), Computational and Applied Mathematics at University of CambridgeMaster's degree, Fluid Mechanics, Master's degree, Fluid Mechanics at Ecole polytechnique
French, English, Spanish, Zulu
Github Skills (5)
python10
reinforcement-learning10
data-analysis7
unit-testing7
matplotlib6
Programming languages (7)
Github contributions (5)
thedimlebowski/Trading-Gym
Jun 2017 - Jul 2017
Trading Gym is an open source project for the development of reinforcement learning algorithms in the context of trading.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:39 commits, 10 PRs, 14 pushes in 27 days
Contributions summary:Dimitry primarily contributed to the development of the `trading-gym` project, specifically focusing on core environment features. Their work included adding initialization functions, merging branches, and implementing trading environment logic. Furthermore, the user added tests and refactored plotting, highlighting a focus on building and maintaining the project's core functionality.
reinforcement-learning-algorithmsstock-tradingreinforcement-learningmachine-learningtrading
thedimlebowski/config
Jun 2018 - Feb 2021
Contributions:32 pushes, 1 branch in 2 years 8 months
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