Quantitative Finance Analyst

Founded an AI-driven consulting and automation company focused on integrating artificial intelligence solutions within the financial industry and local SMEs.

I design and implement AI-powered systems to automate operational workflows, reporting, data analysis, and internal processes. My work helps businesses improve efficiency, reduce manual workload, and optimize decision-making.

I also develop customized automation tools and AI integrations tailored to the specific needs of financial professionals and growing companies.

Co-founded the firm and lead research and quantitative trading activities in digital assets.

I focus on identifying, backtesting, and executing investment strategies, combining traditional financial expertise with innovative digital asset management solutions.

I also work closely with the global institutional investor base to ensure strategies align with their specific needs.

Specialize in the quantitative aspects of the firm’s transactions, with a focus on corporate finance modeling.

I work with institutional investors across Europe and South Africa, ensuring their needs are met through tailored financial solutions.

I also contribute to the digitalization of the company by adding AI to automate tasks and save time for the team.

Focused on financial strategies and data modeling for renewable energy projects.

I optimized funding strategies, modeled Power Purchase Agreements (PPAs), and coded models to analyze the link between load shedding and economic indicators in South Africa.

This internship strengthened my experience in corporate finance advisory, quantitative modeling, and applied financial analysis.

Worked on a data-driven project supervised by Eduardo Montesuma.

The project applied Python and data science techniques to analyze historical stock prices.

This experience reinforced my interest in quantitative research and financial data analysis.

Conducted research supervised by Prof. Maxime Fevrier on the smallest singular value of a Wishart matrix.

The work was centered on random Gaussian matrices and advanced mathematical analysis.

This project deepened my understanding of theoretical mathematics and research methods.

Trade a backtested chartist strategy and maintain a strong interest in financial markets.

I have been investing in cryptocurrencies since 2020, with a focus on strategy development and preparing detailed monthly reports.

This ongoing activity has helped me build practical experience in systematic trading and market analysis.

Teach mathematics to high school and CPGE students in La Seyne sur mer.

This role has strengthened my ability to explain complex concepts clearly and adapt to different learning needs.

It has also reinforced my communication, rigor, and pedagogical skills.

Currently enrolled in the M2MO Master’s program with a chosen Quantitative Finance track.

The program is recognized as one of the top pathways for developing expertise in quantitative finance.

Advanced training in mathematics with a focus on statistics, probability, stochastic processes, optimization, databases, analysis, and financial mathematics at ENSAE.

Third year of Bachelor’s degree in Mathematics with a specialization in Applied Mathematics and Numerics.

Ranked 1st/60 with highest honors.

Intensive preparatory classes for the French entrance exam to engineering schools.

Eligible for CentraleSupélec and Mines-Ponts.

Completed high school with a scientific focus.

Achieved a Baccalaureate score of 19.65/20.