Summary
William Benhaim is a data scientist and NLP engineer with a decade of experience applying machine learning to finance and product-facing problems from Paris. At BNP Paribas he builds NLP solutions and ML tooling within a global Quantitative Research lab to boost productivity across markets, while his startup experience as co-founder of ArgoZ shows hands-on productization of chatbots, recommendation engines and scalable NoSQL/SQL infrastructures. He began his career on the quant side—pricing, backtesting and risk tools—so he combines rigorous mathematical training (Dauphine, ENSAE, Télécom ParisTech) with practical software engineering. Comfortable moving models from prototype to production, he’s equally at home coordinating stakeholders, designing KPIs and implementing the operational systems that make ML deliver business value. Notably, he has delivered both enterprise-grade solutions at a major bank and lightweight APIs for consumer chatbots, bridging research and real-world deployment.
10 years of coding experience
2 years of employment as a software developer
Master 1 M.M.D (Mathématiques de la Modélisation et de la Décision), Mathématiques, Master 1 M.M.D (Mathématiques de la Modélisation et de la Décision), Mathématiques at Université Paris Dauphine
Master 104 Finance (ex DEA 104), Mathématiques, finance, Master 104 Finance (ex DEA 104), Mathématiques, finance at Université Paris Dauphine & ENSAE
BGD - Big Data : gestion et analyse des données massives, Data Science, BGD - Big Data : gestion et analyse des données massives, Data Science at Telecom ParisTech
French, English