Summary
Brad Daughdrill is a data science executive with 12 years of experience building analytics and fraud-detection products at scale, currently serving as VP, Head of Product Data Science & Analytics at TransUnion. He has progressed through technical and leadership roles—from doctoral research in quantitative finance to directing enterprise data science teams at USAA and leading global fraud analytics at TransUnion—bringing deep expertise in risk, econometrics, and operations research. Brad combines rigorous academic training (PhD, MS, MBA) with hands-on product delivery, translating complex models into operational systems that reduce loss and improve decisioning. He’s comfortable at the intersection of research, product, and business, shaping strategy while overseeing model governance and deployment. Based in Tuscaloosa, he blends financial markets experience from early analyst roles with healthcare and software project work, a background that informs pragmatic, cross-domain solutions. Colleagues describe him as a measurement-driven leader who pairs quantitative rigor with a knack for shipping usable analytics.
12 years of coding experience
15 years of employment as a software developer
Doctor of Philosophy (PhD) Quantitative Finance, Doctor of Philosophy (PhD) Quantitative Finance at The University of Alabama