Quantitative Research • Stochastic Modelling • Numerical Methods

Romain Dufetelle

El Karoui Master 2025/2026 — Sorbonne Université & École Polytechnique. I am currently an intern at Groupe BPCE within the Equity Model Validation team, working on the calibration and implementation of LSV-HJM models using particle methods.

Domain Model Validation
Methods LSV-HJM, Particle Methods
Stack C++, QuantLib

About

Quantitative profile with a mathematical backbone.

My current work focuses on stochastic volatility modelling, calibration and numerical implementation, with C++ development in a QuantLib-derived library.

I am also interested in market microstructure and more abstract mathematical questions. Selected work and research notes are presented below.

Research & interests

Stochastic modelling and derivatives

Interest in local stochastic volatility, stochastic rates, Monte Carlo methods, particle-based calibration and numerical stability in option pricing.

Market microstructure

Design of event-level limit order book simulators with heterogeneous agents, stochastic liquidity regimes and inverse inference of latent market composition from observable order flow.

Probability and discrete models

Work on probabilistic structures including anisotropic percolation, projection techniques and rigorous finite/infinite-volume arguments.

Work

Selected work

Research engineering

Hybrid LSV & stochastic rates

Numerical work around equity derivatives models combining local stochastic volatility, stochastic interest rates and calibration-oriented simulation.

C++ Monte Carlo Calibration
View case study →
Simulation

Market Microstructure Simulator

Research-grade event-level simulator for modern electronic markets, combining a full limit order book, heterogeneous agents, stochastic liquidity and inverse modelling of hidden market composition.

C++ Python LOB Inverse Inference
View case study →
Complex analysis

Maximizing Maps for Holomorphic Functions

Study of paths built from the maximum modulus principle, following points where a holomorphic function reaches its maximal modulus on admissible families of surrounding curves.

Complex Analysis Holomorphic Functions Maximum Principle Riemann Zeta
View note →

Contact

Open to quantitative research, modelling and engineering discussions.