About · Elias Benguedda

About

Applied mathematics and data science student interested in quantitative finance, derivatives pricing and financial modelling.

Elias Benguedda
Profile

I am currently studying Applied Mathematics & Data Science at Mines Saint-Étienne.

My academic background combines applied mathematics, probability, stochastic processes, optimization and statistical modelling.

I have also pursued advanced coursework in fundamental mathematics, machine learning and stochastic modelling.

Quantitative Finance

My professional experience has focused on quantitative finance, derivatives pricing and financial modelling.

At Société Générale, I worked on callable bonds and OTC structured products, including Hull-White interest rate modelling and statistical models for equity correlations.

At Natixis Trading Solutions, I worked with equity and FICC data and developed Python pipelines for P&L monitoring, position tracking and performance analysis.

Research

At Mines Finance, I am Volatility Strategy Lead within the student hedge fund.

I work on volatility trading strategies, derivatives pricing and volatility dynamics, including research and backtesting of trading strategies.

Education

Mines Saint-Étienne

MEng Applied Mathematics & Data Science · 2024–2028

École Normale Supérieure de Lyon

Advanced Courses in Machine Learning & Stochastic Modeling · 2025–2026

Aix-Marseille University

Master in Fundamental Mathematics · 2025–2026

Janson de Sailly

MPSI / MP Preparatory Classes · 2022–2024

Skills

Programming
Python, NumPy, Pandas, PyTorch, scikit-learn, C#, SQL, Git, Numerix

Mathematics
Probability, stochastic processes, optimization, PDEs

Languages
French · Native
English · Fluent
Spanish · Basic