transaction-monitoringadvanced
Transaction Monitoring Rule Tuning
Tune AML and CFT scenarios to reduce alert volumes without missing real risk.
4.7 rating 220 enrolled 27 lessons 5h 27m
Syllabus
8 modules · 27 lessons
- Common scenario archetypes8m
- Scenario libraries across vendors18m
- Reading a scenario specification18m
- Module check: scenario selection5m
- Segmentation for retail and corporate8m
- Building segments from transaction data18m
- Validating segments with SAR outcomes18m
- Maintaining segments over time5m
- Designing an ATL sample8m
- BTL sampling for missed risk18m
- Sample sizing and statistical power18m
- Written exercise: ATL BTL plan5m
- Threshold change methodology8m
- Iterative tuning programmes18m
- Approval workflow for changes5m
- Linking alerts to SAR outcomes8m
- Productivity metrics18m
- Feeding outcomes back into tuning5m
- Model risk management for TM8m
- Validation expectations18m
- Documentation templates5m
- Tuning Actimize SAM8m
- Tuning NetReveal scenarios18m
- Tuning RiskShield decision trees5m
- Evidence packs8m
- Common regulator questions18m
- Capstone assessment30m