Natalia Bailey

Trends in Machine Learning Usage in Finance

Since 2017, the Institute of International Finance (IIF) has been surveying global participants on the level of adoption of Machine Learning (ML) and Artificial Intelligence (AI) providing insights on its application and providing input and best practice guidance on AI governance and the ethical handling of customer data. Natalia Bailey, Policy Advisor from the IIF will share how the research and findings have evolved over the years bringing in the insights and lessons learned through her interactions with global regulators and industry players, including results of the IIF’s 2022 survey on the use of Machine Learning. She’ll take the discussion beyond principals and share best practice on ML governance and how to implement a strong supporting operational structure.

Natalia Bailey is an Policy Advisor, Digital Finance at the IIF, where she focuses on the digital transformation of the financial system, particularly the application of new technologies such as Machine Learning to the domain of risk management, and financial sector supervision.

In her prior role she focused on banking prudential regulation where she reviewed the modeling practices in banks’ internal RWA models, and helped develop a multi-pronged approach to enhance internal model based capital approaches.

Natalia holds a MPP from George Mason University, and a BA in Economics from Hollins University, where she attended on an IIE-Fulbright Scholarship.

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