I'm Wassim MAZOUZ, a graduate engineer from École Centrale de Lyon with a Master's in Mathematics and Quantitative Finance from ISFA.
I recently completed an internship as an AI & Quantitative Research Intern at BNP Paribas Global Markets - Data & AI Lab in Frankfurt, where I worked on deep learning models for hedging with high-frequency data.
Previously, I was a Machine Learning Research Intern at the OCKHAM Team at ENS Lyon, enhancing the Benchopt framework for benchmarking optimization algorithms, and a Student Researcher at LIRIS Laboratory, developing generative models for image synthesis with VQ-VAE.
My interests span quantitative research, machine learning, and data science - applying rigorous mathematics, optimization, and programming to solve real-world challenges in finance and beyond.
Feel free to explore my repositories, connect with me, or collaborate on exciting projects!

