Henri Gérard
Principal Actuarial Data Scientist
Greater Paris Metropolitan Region France
Summary
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Rockstar🎓
Top SchoolHenri Gérard is a Principal Actuarial Data Scientist with a decade of experience blending rigorous academic research and hands-on fintech entrepreneurship to solve complex insurance and finance problems. He holds a PhD in mathematics and has translated deep expertise in stochastic and robust optimization into production-grade pricing models and deployment strategies across life and non-life insurance markets. At Akur8 he leads and scales international actuarial data science teams, orchestrating pre-sales, technical training, and multi-entity rollouts while shaping strategy for key global contracts. As a former fintech founder, he shipped algorithmic trading prototypes and a goal-based financial education product used by hundreds of users, demonstrating both product instincts and technical leadership. He contributes to open-source ML tooling—improving MLBox’s robustness and test coverage—reflecting a commitment to reliable, automated machine learning. Comfortable at the intersection of theory, code, and client impact, he thrives on turning sophisticated math into auditable, deployable solutions.
10 years of coding experience
4 years of employment as a software developer
Master's degree, Operation Research in partnership with Polytechnique, ENSTA, ENPC, Master's degree, Operation Research in partnership with Polytechnique, ENSTA, ENPC at Télécom ParisClasses préparatoires MPSI-MP*, Classes préparatoires MPSI-MP* at Lycée Sainte-GenevièveDoctor of Philosophy - PhD, Mathématiques, Doctor of Philosophy - PhD, Mathématiques at École nationale des ponts et chaussées
French, English, German, Spanish
Github Skills (17)
unit-testing10
python10
data-science10
machine-learning10
automl10
automated-machine-learning10
pytest9
data-preprocessing9
optimization8
classification8
regression8
encoding8
xgboost7
scikit-learn7
lightgbm7
Programming languages (2)
Github contributions (5)
AxeldeRomblay/MLBox
May 2019 - Jun 2019
MLBox is a powerful Automated Machine Learning python library.
Role in this project:
ML Engineer
ML EngineerContributions:108 commits, 1 PR, 102 pushes in 1 month
Contributions summary:Henri primarily contributed to the MLBox library, a tool for automated machine learning. Their work involved updating the architecture by adding new examples, versioning, and removing custom setup configurations. They also added unit tests for several components, including the categorical encoder, NA encoder, and optimiser, indicating a focus on improving the library's functionality and reliability. The commits also involved fixing installation issues and improving coverage, suggesting a commitment to the project's stability and quality.
kagglexgboostfairness-mlpythonlightgbm
Henri-Gerard/robox
Jul 2019 - Jul 2019
Contributions:2 pushes, 1 branch in 8 days
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