Daniel Robert-Nicoud

Daniel Robert-Nicoud is an experienced Data Scientist specializing in quantitative research with a strong background in mathematics and finance. Currently working as a Quantitative Researcher at Squarepoint, they previously held positions at Laval Science and UBS, where they focused on developing machine learning models for algorithmic trading and credit risk. Daniel completed both a Bachelor and Master of Science in Mathematics at ETH Zurich with distinction and earned a PhD from Université Sorbonne Paris Nord, contributing five research articles in the fields of Homotopical Algebra and Mathematical Physics. They are furthering their education with a Diploma of Advanced Studies in Data Science at ETH Zurich, concentrating on reinforcement learning and Gaussian processes. Fluent in multiple languages, Daniel thrives in collaborative environments and possesses strong communication skills.