Juan Tellez, PhD is a seasoned econometrician and statistician with a diverse background in academia, research, and industry. He holds a PhD and a Master of Advanced Studies in Econometrics and Quantitative Economics from the University of Geneva, where he also completed his undergraduate studies in Economics.

Before joining UBS as Director of Algorithmic Trading Strategies Validation, Tellez worked at J.P. Morgan as Associate in Model Risk Governance - Electronic Trading. Previously, he served as Lead Statistician in Big data and Policy at Inserm and Lecturer in Financial Econometrics at Université de Neuchâtel. He has also worked as Postdoctoral Fellow at Harvard University's Center for International Development, Independent Researcher in Statistics and Policy Advisory, Project Manager in Econometrics and Statistics / Government Policy at Inserm, and Teaching Assistant in Econometrics at Université de Genève.

Aside from his professional work, Tellez has also been engaged in research in quantitative methods, government policy, and applied economics, with stints at McMaster University and the University of Geneva's Laboratory of Applied Economics. He also briefly worked as an Assistant in BCGE's Department of Organization.

Tellez's multidisciplinary background has given him a strong foundation in econometrics, statistics, mathematics, and quantitative analysis, enabling him to bring a data-driven perspective to various domains, including trading, finance, healthcare, and public policy.