Christophe is a leader of McKinsey’s North America Model Risk Management Service Line. He serves financial institutions across North America and Europe on a broad breadth of analytics topics, along with application of intelligent automation, and management of financial risk.
Since 2012, Christophe has supported more than 25 institutions on analytics topics, including setting standards and governance, and implementing efficiency initiatives.
He has deep experience managing large-scale programs across multiple geographies. For instance, he led management of multiple model validation and model lifecycle transformation programs for several top-10 and regional US banks. This work covered a wide range of model use cases (e.g., anti-money laundering, climate risk, credit risk, fraud, market risk, and stress testing) and modeling techniques (e.g., artificial intelligence and machine learning).
Christophe holds a master’s degree in financial engineering from the Leonardo de Vinci Engineering School in Paris, and a master’s degree in applied mathematics from the Université Paris Dauphine-PSL. He is a certified professional risk manager, and member of the Professional Risk Managers' International Association (PRMIA). He has co-authored several McKinsey publications on AI and model risk management.