Christophe serves financial institutions across North America and Europe on a broad breadth of model analytics topics, along with application of intelligent automation, and management of financial risk.

Background

Since 2012, Christophe has supported more than 25 institutions on model governance, development, validation, risk management, and model lifecycle optimization (e.g., designing and implementing efficiency levers such as automation and risk-based approaches).

He managed multiple large-scale model validation programs for several top-10 US banks. This work covered a wide range of model use cases (e.g., anti-money laundering, credit risk, market risk, stress testing) and techniques (e.g., artificial intelligence and machine learning). He directed model lifecycle transformation programs to improve effectiveness and efficiency at several US bank holding companies and foreign banking organizations in the US.

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).