Regulatory Alerts2023-09-25
Added · Updated
AML/CFT Regtech: Case Studies and Insights Volume 2
The Hong Kong Monetary Authority published this report to share practical insights and lessons learned from six local banks adopting advanced regulatory technology for anti-money laundering and counter-financing of terrorism. The document details case studies on real-time fraud monitoring, machine learning for transaction alert prioritization, natural language processing for news monitoring, and analytics using a single customer view. These examples illustrate how banks are leveraging hybrid rules-based and machine learning approaches to reduce false positives, enhance detection accuracy, and improve operational efficiency in response to evolving financial crime threats.
Topics
Share