IBM Safer Payments Technical Primer (V6.6)

Day 1: Installation, cluster configuration, and system configuration

• Introductory Overview of Safer Payments
• SP Cluster Architecture (Interfaces and Redundancy)
• Installing Safer Payments
• Mandator Hierarchy
• User Roles and User Accounts

Day 2: Data Dictionary and Batch Data Import

• Revision concept
• Introduction to SP’s data model
• Data storage and retention
• Masterdata
• Data ingestion and data formats
• Merging

Day 3: Modelling in Safer Payments

• Modelling in Safer Payments – An introduction and basic concepts
• Behavior Profiling
• Manually creating rules
• Testing and simulating rules
• Python callouts 
• External Modelling
• Sampling

Day 4: Compliance lists, Case Investigation, and Reports

• Rule Generator
• Internal Random Forest
• Compliance Lists
• Defined Risk Lists
• Reports and query functionality
• Case Management and Case Investigation 

• External: Fraud Analysts, Application and System Admins managing Safer Payments
• Internal: IBM Lab Services, IBM Support, IBM Technical Pre-Sales and IBM Business Partners

• Must be familiar with Unix command line navigation and configuration actions
• Some familiarity with payment processing systems
• Familiarity with the concepts of clustering and network/firewall topics
• Familiarity and comfort with troubleshooting and problem determination processes

• Install and configure a Safer Payments cluster (Linux environment)
• Understand how to ingest and map data into Safer Payments
• Understand the cluster architecture of Safer Payments
• Set up Safer Payments for real-time processing of messages
• Manually configure rules including profilings
• Run simulations to test rules
• Set up case investigation to create and investigate alerts