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AML Monitoring Platform Tuning
For analysts and engineers tuning suspicious activity monitoring and case management platforms, including SAM and RCM family systems.
4.8 rating 198 enrolled 33 lessons 7h 15m
Syllabus
8 modules · 33 lessons
- AML platform components8m
- Policy manager and rule packs18m
- Data model and feature pipeline18m
- Where SAM, RCM and WLF sit5m
- Standard SAM scenarios and intent8m
- Reading a scenario specification18m
- Configuring scenario parameters18m
- Module check: scenario selection5m
- Segmentation principles for AML8m
- Building segments inside the AML platform18m
- Validating segments with historical SARs18m
- Maintaining segments as the book changes5m
- Designing an above the line sample8m
- Below the line sampling for missed risk18m
- Statistical confidence in tuning decisions18m
- Iterative threshold change methodology18m
- Module check: ATL BTL design5m
- Case lifecycle in RCM8m
- Reducing time per alert18m
- Cross alert aggregation18m
- Quality assurance and analyst calibration5m
- WLF architecture inside ActOne8m
- List ingestion and refresh18m
- Tuning fuzzy matching18m
- Integration with RCM cases5m
- Model risk management for AML8m
- Independent validation expectations18m
- Documentation for model risk teams18m
- Written exercise: model validation memo5m
- Building a regulator ready evidence pack8m
- Quarter end review packs18m
- Self assessment frameworks18m
- Capstone assessment30m