Summary
Oskar Laverny is an actuary and PhD-level researcher based in Marseille with a decade of experience building statistical tools to estimate dependence structures in high dimensions for (re)insurance applications. At SCOR since 2019 he translates advanced mathematical theory into practical risk models, blending rigorous doctoral research in mathematics and computer science with professional actuarial credentials. His academic path spans ENS Lyon, ISFA, and Strasbourg, reflecting deep training in both pure math and applied actuarial science. Known for a curious, tongue-in-cheek take on correlations (“quality of code vs quantity of coffee”), he brings intellectual curiosity and a taste for pragmatic, data-driven solutions to complex dependence modeling problems.
10 years of coding experience
Deug de mathématiques, Mathématiques et informatique, Deug de mathématiques, Mathématiques et informatique at Université de Strasbourg
Doctorat, Mathématiques et informatique, Doctorat, Mathématiques et informatique at Université Claude Bernard Lyon 1
Master 2 (M2), Mathématiques, Master 2 (M2), Mathématiques at L'École Normale Supérieure de Lyon
Licence, Actuariat, Licence, Actuariat at Institut de Science Financière et d'Assurances (I.S.F.A)