In this article, we explain how machine learning techniques can help achieve complex tasks, such as tuning thousands of parameters at once, with great
Matthieu Goutet is Principal Product Manager and Anti-Money Laundering (AML) subject matter expert. Since 2003 when he joined NICE Actimize, he’s held various roles in product management and business development, starting as a business analyst in professional services, then analytics product manager for AML. As an AML subject matter expert, Matthieu focuses on analytics and works with different customers and partners around the world to solve their unique business problems. He conducts research, tests new ideas and technologies, and collaborates with internal teams on many AML initiatives, including developing the analytics approach for NICE Actimize’s X-Sight platform. Previously, Matthieu worked at Hewlett Packard in the computer science research lab and leverages his vast research and analytics expertise to fine-tune AML solutions at Actimize. He holds an M.S. in Computer Science from the University of Orsay Paris-11 in France.
AML Model Governance: Bridging the Domain Gap
Financial crime and compliance teams are continuously trying to improve money laundering detection while ensuring better alignment with regulator expectations.