IBM Safer Payments Modeling Training (V6.6)
IBM Training for IBM Safer Payments Modeling Training (V6.6)
Skill Level: Intermediate
Modality: CR – Classroom based Training or ILO – Instructor Led Online Class
Duration: 3 Day/s
Starting Price: $ – Contact for price
Overview:
This course teaches IBM Safer Payments users how to perform model activity ranging from creating new profiles as an important input for statistical models and how to use the sandbox environment.
IBM Safer Payments is an enterprise fraud detection solution. It is a designed and focused on real time payment transaction processing. Safer Payments provides complex and dynamic rules building, evaluation and execution. Built with real time performance, management, and redundancy in mind.In this course, all of the IBM Safer Payments model capabilities are presented in detail. The following modelling concepts are covered: index, profiling techniques (with and without index sequence), model components comprised of rulesets, PMML, Python and Internal Random Forest, elements of the simulation environment including Rule Generation and Internal Random Forest, as well as the sampling techniques. All these concepts will be followed by the hands-on exercises.
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Target Audience:
External: Fraud Analysts, Application and System Administrators who manage Safer Payments (optional), Internal: IBM Lab Services, IBM Support, IBM Technical Pre-Sales and IBM Business Partners
Prerequisites:
- Must be familiar with Unix command line navigation and configuration actions
- Some familiarity with statistical models
- Knowledge in Fraud Prevention for cashless payments
.
Topic:
Day 1: Modeling approaches and ProfilingSafer Payments Data Dictionary
- Modeling Approach (Internal & External Modeling)
- Examine Indexes with and without sequences
- Profiling in Safer Payments using index with sequence (Counter, Precedents, Pattern)
- Profiling in Safer Payments using index without sequence (Calendar, Events, Device Identification, Formulas)
- Introduction to Rules
Day 2: Rules and SimulationIntroduction to Simulation workflow
- Sampling Techniques
- Rule Analyses and Rule Performance
- Rule Performance and Rule Scoring
Day 3: Model Factory and External ModelsInternal modeling capabilities (Rule Generator and Random Forest)
- Exporting and importing data for external modeling
- Python callouts
- PMML Model Import
- Point of Compromise
.
IBM Training
Objective:
- Mandator structure
- Modeling Concepts
- Profiling Concept
- Rulesets and Rules
- Simulation Environment
- Analysis
- Model Components
- Python callouts
Category: Industry
Product Name:
IBM Counter Fraud Management for Safer Payments
Badge and Certification Info:
Badge Title: IBM Safer Payments Modeling Training (V6.6) – Code: 6A630G
Badge ID: ff3551ca-a413-486a-995b-cc67b0773338
Brand: WFSS – Financial Crimes and Conduct Risk
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6A630 6A530 sp Profiles Index Rules PMML Simulation Random Forest counter fraud
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