Key Discussion Points
Transaction Monitoring and Reporting
Adopting a risk-based approach in transaction monitoring
Batch and real-time monitoring/ first-line and AML team monitoring
Managing false positives and preventing false negatives
Threshold and scenario/ pattern-based monitoring
Attempted transactions: capturing and monitoring
Improving effectiveness: AI/ML, RPA, Blockchain
Report generation/ compilation automation
Building customer profile for transaction monitoring
The feasibility and utility of sharing information amongst reporting entities
ARIFAC and FPAC – Contribution to systemic effectiveness