Summary
Anass Elidrissi is a quantitative trader with a decade of hands-on experience building data-driven trading systems and research at high-frequency and systematic trading firms. He combines dual master's training in Mathematics and Data Science from Université Paris-Saclay and CentraleSupélec with production C++ engineering, Python data pipelines, and applied ML for market signals. His background spans end-to-end work from low-latency data collectors and DevOps to NLP and computer-vision projects for real-world clients, reflecting strong versatility across research and engineering. Based in Hong Kong, he has progressed rapidly from junior software engineer to researcher and now trader, delivering solutions that blend rigorous math with pragmatic software practices. Notably, he has applied advanced OCR and language-model chains to extract structured data from receipts, showcasing an appetite for integrating cutting-edge ML into production pipelines.
10 years of coding experience
7 years of employment as a software developer
Preparatory classes for Engineering Schools MP, Preparatory classes for Engineering Schools MP at Lycée d'excellence
Masters Data Science, Masters Data Science at CentraleSupélec
Master's degree Masters of Mathematics, Master's degree Masters of Mathematics at Université Paris-Saclay
English, French, Arabic, Japanese