Freelancer profile translated to English.

Description

AI/ML Engineer & Quantitative Developer, graduate of CentraleSupélec, with a strong background in modeling, machine learning, and intelligent systems development.

My target freelance missions:

- Development of ML/Deep Learning models (classification, regression, time series, NLP)

- Design and deployment of AI pipelines (LLM, RAG, AI agents)

- Advanced Python development (pandas, scikit-learn, PyTorch, TensorFlow)

- Automation and optimization of quantitative workflows

- Backtesting of algorithmic strategies and financial data analysis

Educated at CentraleSupélec with a curriculum in mathematics, probability, optimization, machine learning, and deep learning, I bring scientific rigor and the ability to deliver robust solutions in production. Polyglot (FR/EN/ES/AR), I adapt easily to international contexts.

Industry field of expertise

Languages

French
Native or bilingual
English
Native or bilingual
Spanish
Fluent
Arabic
Native or bilingual

Workplace preferences

Can work on-site

Paris (up to 50km)

BNP Paribas
Exotic Credit Quantitative Researcher
BANKING AND INSURANCE
October 2023 - August 2025 (1 year and 10 months)
London, UK
Development of valuation, pricing, and risk management models for exotic credit products, with a focus on production robustness and analytical relevance for the desk.
Close collaboration with traders to enhance pricing tools and calculation engines used daily in risk management and trading activities.
Analysis of hedging performance and explanation of daily P&L movements through scenario analysis and risk decomposition.
Modernization of the quantitative platform by migrating analytics to modern frameworks and contributing to the decommissioning of legacy infrastructure.
Design of quantitative tools and delivery of analyses improving transparency and usability for the desk.
Collaboration with e-trading and quant teams to automate risk workflows and ensure pricing of hybrid products.
Machine learning Python Artificial Intelligence Financial Modeling C++
Tikehau Capital
Quantitative Trading Apprentice
PRIVATE EQUITY
September 2022 - July 2023 (10 months)
Paris, France
Apprenticeship within the equity quantitative trading team at Tikehau Capital.
Development of quantitative tools to support the equity trading team's investment decisions.
Improvement of portfolio construction processes by developing and refining optimization-based approaches.
Generation of alpha signals from fundamental and alternative data, and assessment of their predictive power through backtests.
Design and testing of systematic trading strategies, evaluating their performance, robustness, and implementation constraints.
Python Bash Machine learning Financial Modeling SQL
BNP Paribas
Exotic Credit Quantitative Research Intern
BANKING AND INSURANCE
June 2022 - August 2022 (2 months)
London, UK
Internship within the Credit Quantitative Research team at BNP Paribas.
Analysis of historical Credit Default Swap (CDS) index data to approximate Collateralized Debt Obligations (CDO) prices.
Development of a tool for calculating the live delta of a credit portfolio, improving the desk's ability to monitor risk in real-time.
Python Machine learning SQL