IBM Safer Payments Hands-On Modeling Training (V6.5)

IBM Training for IBM Safer Payments Hands-On Modeling Training (V6.5)

Skill Level: Intermediate

Modality: CR - Classroom based Trainng or ILO - Instructor Led Online Class

Duration: 3 Day/s

Starting Price: $ - 1,807

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 innovative real-time payment fraud prevention and detection solution for all cashless payment types. IBM Safer Payments provides not only model capabilities based on inbuilt tools, but also the option to import externally built fraud models for real-time decisioning. In this course, all of the IBM Safer Payments model capabilities are presented in details. 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 that students are expected to complete.

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Target Audience:

IBM Safer Payments users (Fraud Analysts, Fraud Investigators and optional: System Administrators), IBM Lab experts, and IBM Business Partners.

.

Prerequisites: Business Knowledge

Some Familiarity with statistical models

Understanding Safer Payments Data Inputs concepts

Topic: Mandator Structure and its elements

Sandbox Environment

Modeling Concepts in Safer Payments

Index for Profiling

Profiling based on index with sequence

Profiling based on index without sequence

Profiling using Formula

Ruleset, Rule Creation, and Rule Action

Simulation Workflow

Simulation: Data Selection and Sampling techniques

Simulation: Attribute usage

Simulation: Queries

Simulation: Rule Analysis

Simulation: Rule Performance

Simulation: Rule Scoring

Simulation: Rule optimization

Inbuild Model Components: Rule Generation

Inbuild Model Components: Random Forest

Supported external Model Components: PMML

Supported external Model Components: Python

Collusion Algorithm

IBM Training

Objective: Refer to course overview.

Category: Industry

Product Name:

IBM Counter Fraud Management for Safer Payments

Badge and Certification Info:

Badge Title: IBM Safer Payments Hands-On Modeling Training (V6.5) - Code: 6A530G

Badge ID: 823b50c6-7d7f-4126-8a1b-b8f9a1daa8cb

Brand: WFSS - Financial Crimes and Conduct Risk

IBM Training is available now.

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