Daniel Mei currently serves as Director of Data Science at AARP, where responsibilities include leading machine learning and AI modeling efforts to enhance marketing decision-making. Prior experience includes roles at BMO Financial Group as Machine Learning & Analytics Advisor and Senior Manager of Consumer Credit Risk Modelling & Analytics, focusing on risk modeling and analytics. At Equitable Bank, Daniel led the Risk Model Development team, overseeing AIRB Capital Models among others. Earlier career stages involved roles at RBC providing risk analysis and at Hudson's Bay Company as a Database Marketing Specialist. Daniel holds multiple degrees, including a Master of Management Analytics in Artificial Intelligence and Machine Learning from Smith School of Business at Queen's University and a Graduate Diploma in Financial Engineering from Schulich School of Business.
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