Daniel Sanz Zulet

Daniel Sanz Zulet is a quantitative engineer at Edgelab since January 2024, previously serving as a data scientist trainee at the European Central Bank in late 2023, where SQL support and Tableau dashboards were created for data analytics. Prior experience includes a role as a quantitative associate in the Treasury Department at the Bank for International Settlements, focusing on asset pricing and machine learning applications for demand prediction tools. Earlier positions included a quantitative internship at Banco de Crédito Cooperativo and undergraduate research roles in condensed matter physics at Universidad de Cantabria and Brown University. Daniel Sanz Zulet holds multiple degrees, including a bachelor's in physics and mathematics from Universidad de Cantabria, and is pursuing a master's in data science and data engineering at U.N.E.D.