Summary
Jérémy L'hour is Head of Volatility Arbitrage Alpha Research at Capital Fund Management with a decade of quantitative research and econometrics experience, combining a PhD from Université Paris-Saclay and formal training at ENSAE and Paris School of Economics. He progressed rapidly through CFM from Research Associate to Research VP before leading the volatility arbitrage team, applying machine learning to financial econometrics—authoring "Machine learning for Econometrics." Prior roles as a data scientist at INSEE, lecturer at ENSAE and École Polytechnique, and a visiting fellowship at Harvard reflect a strong blend of academic rigor and practical implementation. Based in Paris, he focuses on translating advanced statistical methods into tradable alpha, with a penchant for bridging rigorous theory and production research workflows. An understated strength is his sustained commitment to educating others, evidenced by long-term teaching roles alongside industry research.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (PhD), Doctor of Philosophy (PhD) at Université Paris-Saclay
Master of Science (MS), Master of Science (MS) at Ecole normale supérieure de Cachan
Master of Science (MS), Master of Science (MS) at Paris School of Economics
Master of Science (MS), Master of Science (MS) at ENSAE Paris
Prépa HEC, Prépa HEC at Lycée de Kerichen