Paolo Gambetti
Data Science Manager, CRIF

Paolo Gambetti works as Data Science Manager within the Global Advanced Analytics Business Line of CRIF S.p.A. His background is in quantitative finance and financial mathematics. After a bachelor in Economics and Finance at the University of Bologna, he obtained a master in Quantitative Finance at the University of Bologna and a master in Quantitative Asset and Risk Management at the University of Applied Sciences bfi of Vienna. He was awarded two times with the Certificate of Merit from the Rector of the University of Bologna during his studies. In October 2019, he has been appointed Research Fellow of the Fonds National de la Recherche Scientifique (F.R.S. – FNRS), while completing a PhD in Finance at the Catholic University of Louvain (Belgium). During his Doctoral studies, he was in charge of several finance courses at the Louvain School of Management and worked as PhD researcher for the Louvain Institute of Data Analysis and Modeling in Economics and Statistics.  He specialized in machine learning methods applied to the estimation of recovery rates for defaulted loans, bonds and property auctions. He is the author of several top-tier academic publications in the domain of credit risk and presented as main speaker in several international finance conferences. After joining CRIF S.p.A., he enlarged his domain of interests to new fintech and insurance themes, such as the application of artificial intelligence for modeling ESG risks, weather-related events and natural catastrophe risk. He was also part of the team developing the CRIF Climate Risk Analytics Suite prized by Bank of International Settlements and Bank of Italy. After the GenAI wave came into play in the industry, Paolo Gambetti became a contributor of innovation for financial and traditional institutions, with the design and support to institutions to set-up innovative Gen-AI powered solutions for a wide spectrum of use-cases.