Machine Learning in Retail Credit Risk: Algorithms, Infrastructure, and Alternative Data — Past, Present, and Future
, Scotiabank
See how machine learning is reshaping credit risk models — the mathematical models used by banks to evaluate creditworthiness. Learn about new methods to build transparent ML in highly regulated environments, how deep learning is surfacing alternative financial data and making it more useful, and how on-premises GPU computing is accelerating model development. See my vision of the future of ML in retail credit risk.