Edouard Berthe is a quantitative strategist based in London with 11 years’ experience building and productionising pricing models and trading tools for banks and hedge funds. He combines an engineering background from CentraleSupélec and a Master’s in Financial Mathematics with hands-on expertise in cross-asset Monte Carlo engines, stochastic rate models and hybrid implied-volatility calibration. At Société Générale he delivered model implementations, high-dimensional calibration routines and Python risk/visualisation libraries; he now applies that toolbox to proprietary strategies at Eisler Capital. Comfortable across data engineering, numerical methods and software delivery, he has also led student projects on interpolation, PDEs and machine-learning regressions for option pricing. Beyond finance, his early work spans web apps, automated backtesting systems and even on-the-ground operational leadership as a rowing club president, reflecting a pragmatic, end-to-end approach to solving complex quantitative problems.
11 years of coding experience
9 years of employment as a software developer
MPSI & MP* (Maths-Physique), MPSI & MP* (Maths-Physique) at Classes Préparatoires aux Grandes Écoles - Lycée Blaise-Pascal
Engineer's degree Engineering, Engineer's degree Engineering at CentraleSupélec
Master's degree Financial Mathematics, Master's degree Financial Mathematics at The University of Queensland
Contributions:1 push, 1 branch in 5 years 7 months
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