Eduardo Jaber
Professor at École Polytechnique
Paris, Ile-de-France
Summary
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Rockstar🎓
Top SchoolEduardo Jaber is a mathematical finance professor and researcher based in Paris, specializing in stochastic invariance, affine processes, volatility modeling and portfolio optimization. He combines academic leadership at École Polytechnique with hands-on industry experience from AXA IM and Amundi, applying advanced stochastic methods to practical risk and asset-management problems. Trained at ENSAE and Université Paris Dauphine, he bridges rigorous applied mathematics with quantitative finance and data-science tools developed during his CIFRE-funded work. Notably, his career traces a steady progression from industry quant to postdoc and faculty, reflecting both theoretical depth and a pragmatic focus on implementable models for volatility and covariance estimation.
2 years of coding experience
10 years of employment as a software developer
Master’s degree (Graduate class of 2014) Quantitative finance and financial engineering, Master’s degree (Graduate class of 2014) Quantitative finance and financial engineering at ENSAE ParisMaster's degree With High Honors: Quantitative Finance & Data Science Modélisation aléatoire (M2MO ex DEA Laure-Elie), Master's degree With High Honors: Quantitative Finance & Data Science Modélisation aléatoire (M2MO ex DEA Laure-Elie) at Université Paris CitéPhD Candidate Applied Mathematics, PhD Candidate Applied Mathematics at Université Paris Dauphine - PSLClasses préparatoires scientifiques (MPSI MP**), Classes préparatoires scientifiques (MPSI MP**) at Lycée Louis-Le-Grand
French, Arabic, English, Spanish
Github Skills (10)
regression9
prediction9
classification9
prediction-intervals9
sklearn9
python8
machine-learning6
data-science6
scikit-learn5
scikit5
Programming languages (1)
Github contributions (4)
EdgarJaber/SA-for-clogging-code
Oct 2023 - Jun 2024
Contributions:2 pushes in 8 months
EdgarJaber/edgarjaber.github.io
Aug 2023 - Aug 2023
Contributions:2 pushes, 2 branches in 2 days
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