Detecting Fraud in Real-Time Using Machine Learning
January 1, 2020What will be discussed?
Everyday millions of transactions are processed by financial institutions, telco's and other processing organizations. From money transfers, to insurance claims, to telco service applications, the shift to digital is opening new channels for financial distribution and creating an environment ripe for fraudsters to exploit.
To keep up organizations are implementing Machine Learning based fraud detection techniques to enhance their anti-fraud systems, enable faster processing times and reduce the manual labor required. Leveraging the SAS platform, these algorithms can be deployed in real-time to result in a powerful addition to an organizations anti-fraud strategy.
About Our Speakers
Alexander Terado
Solutions Specialist, Customer Advisory Data Sciences, SAS Canada
Alex is a passionate advocate for analytically-driven decision making. Before joining SAS, he worked as a Data Analyst, and then as a Manager of Lead Generation and Analytics at an e-commerce startup. In his current role as a Solutions Specialist on the Data Sciences team, he works closely with customers to demonstrate how SAS enables customers to realize real business value from their analytical platforms. Alex is a graduate of the Smith School of Business at Queen’s University.
Dan McKenzie
Principal Solutions Architect, Global Security Intelligence Practice, SAS
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. He then moved on to RBC as an Enterprise Fraud Strategist. Dan brought his real-world experience back to SAS when he rejoined in December 2017.