Why I'm moving into quant

I studied mathematical and computer modeling at Polytech Lyon — statistics, probability, linear algebra, algorithms — then a master's in financial analysis at Inseec Paris. In between, I founded Coinhunt, a digital-assets business I ran for two years and sold in 2022. That was the first time I saw markets up close, not just in a textbook.

For the last three years I worked as a valuation consultant at ATRIOM, building DCF, multiples, and Monte Carlo models for M&A deals and IFRS impairment tests, and writing the reports that auditors and CFOs actually rely on. It taught me how to build a financial model that has to be right — defensible, sourced, stress-tested — not just directionally plausible.

Quant research is the place where that instinct for rigor meets the coding and statistics I trained in originally. This site is where I'm proving that out in public: real backtests with stated methodology, a strategy trading on a live paper account, and the code behind both of them.

Before all of that, I spent six months at Axopen building software for nuclear power plant management — a good early lesson in what it means to write code where being wrong is not an option.