Marc-aurèle Divernois
Senior Data Scientist
Vevey, Vaud, Switzerland
Summary
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Senior🎓
Top SchoolMarc-aurèle Divernois is a Senior Data Scientist with a PhD in Mathematical Finance from EPFL and five years of professional experience at the intersection of AI, statistics and finance. He develops physics-informed machine learning models to predict and detect anomalies in hydropower assets at ANDRITZ while lecturing on portfolio optimization and machine learning for final-year Master's students at HEC Lausanne. His research background spans neural networks for default prediction, NLP for market sentiment and causal inference in large firm networks, and he publishes code and lecture materials on GitHub. Previously he built risk monitoring and automated reporting tools for multi-asset portfolios at Lombard Odier, giving him practical expertise in production risk systems alongside academic rigor. Based in Vevey, Switzerland, he combines quantitative research instincts with hands-on deployment experience in industrial and financial settings.
5 years of coding experience
5 years of employment as a software developer
Master of Science (MSc), Finance, 5.6, Master of Science (MSc), Finance, 5.6 at HEC Lausanne - School of BusinessMaturité Fédérale, Maturité Fédérale at Ecole Nouvelle de la Suisse RomandeBachelor of Science (BSc), Economics, 5.7, Bachelor of Science (BSc), Economics, 5.7 at HEC Lausanne - The Faculty of Business and Economics of the University of LausanneCollège Charles III, MonacoPhD, Financial Mathematics, PhD, Financial Mathematics at Ecole polytechnique fédérale de Lausanne
French, English, German, SpanishProgramming languages (2)
Github contributions (5)
marcaureledivernois/tweet_sklearn
Mar 2022 - Nov 2023
Contributions:1 release, 102 pushes, 1 branch in 1 year 8 months
marcaureledivernois/firm-network
Feb 2021 - Mar 2022
Contributions:74 commits, 73 pushes, 1 branch in 1 year
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