IBM Safer Payments Hands-On Modeling Training (V6.3)

IBM Training for IBM Safer Payments Hands-On Modeling Training (V6.3)

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 execute.

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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 Understand Safer Payments structure

Answer the Hierarchy question

Prioritization Execution

Sandbox Environment Understand Champion/Challenger Concepts

How to promote a model to production

How to copy elements from other challengers

How to revert the model in production

Modeling Concepts in Safer Payments Understand at the high level the inbuilt techniques vs external model capabilities

Answer the question of what are the Inbuild Model Capabilities

Answer the question of what are supported external Model Capability to Safer Payments

Index for Profiling Understand the basis of profiling in Safer Payments

Create Index without sequence

Create Index with sequence

Profiling based on index with sequence Understand Profiling concepts based on index with sequence

Build a counter

Build a precedent

Build a pattern

Profiling based on index without sequence Understand Profiling concepts based on index without sequence

Build a calendar

Build an event

Build device identification

Profiling using Formula Ability to create a formula Ruleset/Rule Creation/ Rule Action Understand Rulesets and Rules

Build a Ruleset

Build a Rule

Create a Rule Action

Simulation Workflow Understand The Simulation Environment and workflow Simulation: Data Selection and Sampling techniquesUnderstand data selection for simulation

Select data selections for simulation

Sample the data selection

Run the simulation

Simulation: Attribute usage Understand the role of the attribute usage settings

Select attributes for simulation

Run the simulation

Simulation: Rule Analysis Understand the concept of the Rule Analysis

Create a Rule Analysis

Analyse a Rule Analysis

Simulation: Rule Performance Understand the concept of the Rule Performance

Create a Rule Performance

Analyse Rule Performance

Simulation: Rule Scoring Understand the concept of the Rule Scoring

Create a Rule Scoring

Simulation: Rule optimization Understand the concept of Rule Optimization

Create a Rule Optimization Report

Inbuild Model Components: Rule Generation Understand the concept behind Rule Generation

Understand the setting parameters

Use of verification data set and training data set

Use Interactive Mode for Rule Generation

Analyse the Rule Designer parameters

Use Fully automated Mode of Rule Generation

Inbuild Model Components: Random Forest Understand the concept of Internal Random Forest

Understand the setting parameters

Use of verification data set and training data set

Run and Analyse results

Supported external Model Components: PMMLUnderstand how to import a PMML model into IBM Safer Payments

Understand how to map inputs and outputs of the model

Understand how to use PMML for decisioning

Supported external Model Components: Python Understand how to import a python script into IBM Safer Payments

Use python for pre-processing rules Use python for formula

Use python for modelling

Collusion Algorithm Understand the concept of the Collusion Algorithm

Understand how to set up a collusion algorithm: manually and automatically

Create and simulate the Collusion

How to invoke the collusion algorithm

IBM Training

Objective: Mandator Structure and its elements

Sandbox Enviornment

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/ Rule Action

Simulation Workflow

Simulation: Data Selection and Sampling techniques

Simulation: Attribute usage

Simulation: Rule Analysis

Simulation: Rule Performane

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

Category: Industry

Product Name:

IBM Safer Payments

Badge and Certification Info:

Badge Title:

Badge ID: NONE

Brand: WFSS - Financial Crimes and Conduct Risk

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