Bank Data Crash Course with Lee Easton of iDENTIFY
Welcome to Fintech Layer Cake, the fintech podcast where industry leaders break down complex financial technology topics into digestible, actionable insights. Whether you’re a seasoned professional or just curious about the world of fintech, we make it easy to understand—one layer at a time. Tune in for expert interviews, market trends, and insider tips that make fintech a piece of cake for everyone!
In this episode of Fintech Layer Cake, host Reggie Young sits down with Lee Easton, founder and president of iDENTIFY, to unpack one of fintech’s least understood layers: bank transaction data. Lee breaks down why raw bank data is so unreliable out of the box, and what it actually takes to clean, enrich, and classify it so that it's usable for real-time fraud detection, underwriting, and customer engagement.
From manual tagging nightmares to building classification models across 1.2 billion transactions, this conversation is a practical deep-dive into what “decision-ready” data really means.