Ege Gürdeniz

Ege Gürdeniz is a Principal in Oliver Wyman’s Digital practice with a focus on Financial Services.

Ege’s work focuses on the responsible and transparent adoption of machine learning systems throughout the financial services industry. He advises financial institutions on the potential use cases, benefits and risks of machine learning as well as the governance and risk management elements that should be in place during adoption. 

When he is not immersed in machine learning topics, Ege helps clients with the agile delivery of technological and analytical solutions that range from web-based tools for increasing sales force effectiveness to culture and conduct risk dashboards. 

Ege is from Istanbul, Turkey and has a Bachelor’s degree in Economics from Yale University. His recent publications have focused on machine learning and conduct risk topics and include: AI Risk: The Newest Non-Financial Risk Every CRO Should Be Preparing ForHow Banks Should Prepare For Robots Going RogueMachine ProliferationTrusting the Mind of a Machine, Managing Next Generation Artificial Intelligence in Banking: A New Paradigm for Model Management, and Measuring Conduct and Culture: A How-to-Guide For Executives.