Bio

Natalia Bailey is Research Manager at FinRegLab, a nonprofit innovation center that tests new technologies and data to inform public policy and drive the financial sector toward a responsible and inclusive financial marketplace. In her capacity, she will continue to facilitate discussion across key stakeholders in the financial ecosystem on the responsible use of AI/ML in financial services, and delve deeper into how to promote AI/ML solutions for advancing financial inclusion. Prior to joining FinRegLab, Natalia was a Policy Advisor with the Digital Finance Department at the IIF, 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, and unfair bias and ethics. Natalia holds a Master of Public Policy 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.