Detecting Fraud in Real-Time using Unsupervised Machine Learning

With over 15 years of experience in Fraud and AML, and over 25 years of experience in financial services, Dan has helped countless customers solve their financial crime challenges in banking, insurance and government. Dan started out his career in IT, then moved to the business side to help business units implement technology. He then moved into Financial Crimes when consulting at TD Bank on their AML implementation in 2003. From there, Dan joined SAS and was the Fraud lead for Canada. Dan departed SAS for 5 years and gained further experience with TransUnion as the Director of Fraud and ID management.