Scenario Review and Threshold Tuning for Transaction Monitoring in SAS® Anti-Money Laundering
Overview
A major hurdle in SAS® Anti-Money Laundering transaction monitoring is the high false-positive alerts that require human resource investigation and disposition. The key to effective monitoring is the setting of appropriate thresholds in the monitoring rules or scenarios in the transaction monitoring system, and a good customer segmentation scheme. Anti-Money Laundering threshold tuning is more of an art than science. It involves consideration in many different aspects, not solely looking at the data. This course discusses these important aspects for maintaining effective monitoring.
It is designed for users who will adopt AI in alert scoring and segmentation for SAS® Anti-Money Laundering. Real cases study for Machine Learning in AML will also be covered.
What can you learn from the course?
- Tune transaction monitoring thresholds based on solid supporting data.
- Maintain an effective customer segmentation scheme.
- Produce a scenario review report.
- Analyze the coverage of the monitoring scenarios.
Who should attend?
SAS® Anti-Money Laundering compliance professionals who are involved in the review of transaction monitoring scenarios and threshold tuning activities.
Date:
27 - 28 Jun, 2024
Time:
09:30 - 17:00
Location:
SAS Office
14/F, 12 Taikoo Wan Road, Taikoo Shing
Price:
HKD 13,500/seat
Registration
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