Natalia Bailey

Prior to joining FinRegLab, Natalia was a Policy Advisor with the Digital Finance Department at the Institute for International Finance, where she led the machine learning and data ethics workstreams, helping shape the IIF’s strategic agenda and explore key regulatory and policy implications. She conducted research and analysis through surveys on the application of ML by IIF member firms, with a focus on credit risk, anti-money laundering, and governance of ML models. Additionally, she identified and created strategies that address implementation challenges and opportunities for the adoption of ML, including examining issues around explainability of ML models, bias, and ethics. Natalia holds a Master of Public Policy degree from George Mason University and a Bachelor’s degree in Economics from Hollins University, where she attended as a recipient of a IIE-Fulbright Scholarship.