Jonathan Guymont
Energy Trader at MAG Energy Solutions
Montreal, Quebec, Canada
Summary
👤
Senior🎓
Top SchoolJonathan Guymont is an energy trader and data scientist based in Montreal with eight years of experience blending quantitative analytics, machine learning, and market operations. After earning a B.Sc. in Mathematics and an M.Sc. in Computer Science from Université de Montréal, he moved from research and AI internships into applied roles at CDPQ where he built data-driven models for financial and energy markets. He has taught as a lecturer at IVADO, linking academic rigor to industry practice, and now applies that hybrid skill set to trading at MAG Energy Solutions. Jonathan’s background includes weather-derivative research and commercial pricing analysis, giving him a rare mix of domain expertise in weather, risk, and asset management. He maintains a public developer footprint on GitHub and StackOverflow, signaling an engineer’s mindset and commitment to reproducible work. Colleagues describe him as someone who turns complex probabilistic models into actionable trading signals while keeping an eye on real-world commercial constraints.
8 years of coding experience
5 years of employment as a software developer
Master of Science (M.Sc.), Computer Science, Master of Science (M.Sc.), Computer Science at Université de MontréalMinor, Business, Minor, Business at Université de Sherbrooke
French, English
Stackoverflow
497reputation
30kreached
20answers
5questions
Github Skills (13)
variational-autoencoder10
autoencoder10
anomaly-detection9
machine-learning8
pytorch8
deep-learning7
neural-network6
classloader6
pandas6
save6
statsmodels6
python6
scikit-learn6
Programming languages (3)
Github contributions (5)
JGuymont/numpy-multilayer-perceptron
Nov 2018 - Feb 2019
Contributions:55 commits, 47 pushes, 1 branch in 3 months
JGuymont/humanware
Jan 2019 - Feb 2019
Contributions:106 commits in 23 days
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