About · Elias Benguedda
About
Applied mathematics and data science student interested in quantitative finance, derivatives pricing and financial modelling.
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.
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.
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.
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
Programming
Python, NumPy, Pandas, PyTorch,
scikit-learn, C#, SQL, Git, Numerix
Mathematics
Probability, stochastic processes,
optimization, PDEs
Languages
French · Native
English · Fluent
Spanish · Basic