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NICE Actimize SAM & RCM Tuning

Tune Suspicious Activity Monitoring and Customer Due Diligence scenarios in Actimize ActOne.

4.8 rating 198 enrolled 33 lessons 7h 15m

Syllabus

8 modules · 33 lessons

  • ActOne platform components
    8m
  • Policy manager and rule packs
    18m
  • Data model and feature pipeline
    18m
  • Where SAM, RCM and WLF sit
    5m

  • Standard SAM scenarios and intent
    8m
  • Reading a scenario specification
    18m
  • Configuring scenario parameters
    18m
  • Module check: scenario selection
    5m

  • Segmentation principles for AML
    8m
  • Building segments inside ActOne
    18m
  • Validating segments with historical SARs
    18m
  • Maintaining segments as the book changes
    5m

  • Designing an above the line sample
    8m
  • Below the line sampling for missed risk
    18m
  • Statistical confidence in tuning decisions
    18m
  • Iterative threshold change methodology
    18m
  • Module check: ATL BTL design
    5m

  • Case lifecycle in RCM
    8m
  • Reducing time per alert
    18m
  • Cross alert aggregation
    18m
  • Quality assurance and analyst calibration
    5m

  • WLF architecture inside ActOne
    8m
  • List ingestion and refresh
    18m
  • Tuning fuzzy matching
    18m
  • Integration with RCM cases
    5m

  • Model risk management for AML
    8m
  • Independent validation expectations
    18m
  • Documentation for model risk teams
    18m
  • Written exercise: model validation memo
    5m

  • Building a regulator ready evidence pack
    8m
  • Quarter end review packs
    18m
  • Self assessment frameworks
    18m
  • Capstone assessment
    30m