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Saad El Gheur

quantitative finance @ Sorbonne University / Ecole Polytechnique
Île-de-France, France

Quantitative developer with a strong background in financial engineering and quantitative finance. Experienced in modeling and validating complex financial derivatives with a focus on volatility dynamics and machine learning approaches for option pricing. Skillful in programming, with practical exposure in Python, C/C++, and SQL.

Top functies

Developer / Programmer< 2 years
Quality Specialist< 2 years

Back-end

SQL
C++
C#
Java
Python
R / Matlab / SPSS
Taal
Moedertaal French
French
Moedertaal
Arabic
Moedertaal
English
Vloeiend
Werkervaring
Since 2023
Front Quant Research Intern - Equity Derivatives @ HSBC
01 April 2025 - 30 September 2025

Implemented and calibrated the two-factor Bergomi Stochastic Volatility model on VIX and SPX options to model volatility dynamics, and integrated it into the Equity Library used by the trading desk.

Quantitative Model Validation Intern - Equity Derivatives @ Murex
01 April 2024 - 30 September 2024

Integrated models (local volatility, stochastic volatility, local stochastic volatility) and their calibration as well as payoffs of exotic options into the validation framework for direct interactions with the Murex model library.

Quant Developer Intern - Responsible Investment and Management Team @ Amundi
01 May 2023 - 31 August 2023

Analyzed the volatility of ESG (Environmental, Social, Governance) ratings.

Opleiding
Since 2021
quantitative finance @ Sorbonne University / Ecole Polytechnique
01 September 2024 - 01 September 2025

High Frequency Trading (M. Rosenbaum), Monte Carlo methods (G. Pagès), Interest Rate Models (N. El Karoui), Local Stochastic Volatility calibration (S. De Marco).

Financial Engineering @ Ensimag / IAE Grenoble
01 September 2021 - 01 September 2024

Advanced Inferential Statistics (O. Gaudoin), Valuation and Hedging of Derivatives (J. Lelong), Deep Learning (M. Echenim), Time Series and Applications in Finance (O. Taramasco), Stochastic Processes and Applications in Finance (H. Guiol).

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