Thibault Jullien

Thibault Jullien is a quantitative credit risk analyst with experience in financial modeling, data analytics, and machine learning. Thibault has worked at Crédit Agricole Consumer Finance, focusing on credit risk modeling and stress-testing methodologies under Bâle 2 and IFRS 9, and has contributed to the enhancement of econometric and statistical models. Thibault's experience also includes a role as a consultant at Consortia, providing quantitative analysis, and currently serves as an analyst at KPMG Advisory, specializing in credit risk. Thibault's academic background includes multiple degrees from Université Paris 1 Panthéon-Sorbonne, with a Master's in statistical, economic, and financial modeling, and involvement as a lecturer in machine learning and credit risk at ESILV. Technical proficiencies include SAS, R, Python, and SQL.