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EncartaLabs

Credit Scorecard Development and Implementation

( Duration: 2 Days )

The Credit Scorecard Development and Implementation training course provides the necessary knowledge to plan, develop, implement, and maintain risk scorecards in-house. The course offers a high-level introduction to credit risk management and covers scorecard implementation strategies.

By attending Credit Scorecard Development and Implementation workshop, delegates will learn to:

  • Create business and project plans for scorecard development
  • Develop and validate intelligent credit risk scorecards in a step-by-step fashion
  • Generate scorecard and portfolio performance reports

Familiar with logistic regression. Knowledge of SAS Enterprise Miner is helpful, but not necessary. Business experience is preferred, particularly in the following sectors:

  • Banking/finance
  • Retail
  • Insurance
  • Telecommunications

This Credit Scorecard Development and Implementation class is ideal for Credit risk/scoring managers and data miners; those involved in model vetting/validation and auditing; risk strategy developers; and credit risk executives

COURSE AGENDA

1

Introduction to Credit Risk Management

  • Identifying types of risks
  • Knowing the benefits of risk management
  • Discussing applications of credit risk management
2

Scorecard Development Roles

  • Identifying scorecard development roles and why they are important
3

Scorecard Development Stage 1: Preliminaries and Planning

  • Establishing project objectives
  • Creating a project plan
  • Creating a business plan
4

Scorecard Development Stage 2: Data Review and Project Parameters

  • Researching data availability and quality
  • Gathering data for definition of project parameters
  • Defining exclusions, such as good/bad and indeterminate cases
5

Scorecard Development Stage 3: Development Database Creating

  • Creating development data sets
  • Adjusting for price probabilities
6

Scorecard Development Stage 4: Model Development

  • Handling missing values and outliers
  • Performing initial characteristic analysis (binning)
  • Creating a preliminary scorecard using logistic regression
  • Performing reject inference
  • Scaling a scorecard
  • Selecting the best scorecard
  • Validating a scorecard
7

Scorecard Development Stage 5: Scorcard Management Reports

  • Creating reports to enable monitoring and decision making
8

Scorecard Development Stage 6: Scorecard Implementation

  • Performing pre-implementation validation
  • Scoring strategies
  • Setting cutoffs
  • Designing action strategies using scorecards
  • Understanding policy rules and overrides
9

Post-Implementation

  • Creating scorecard and portfolio monitoring reports

Encarta Labs Advantage

  • One Stop Corporate Training Solution Providers for over 6,000 various courses on a variety of subjects
  • All courses are delivered by Industry Veterans
  • Get jumpstarted from newbie to production ready in a matter of few days
  • Trained more than 50,000 Corporate executives across the Globe
  • All our trainings are conducted in workshop mode with more focus on hands-on sessions

View our other course offerings by visiting https://www.encartalabs.com/course-catalogue-all.php

Contact us for delivering this course as a public/open-house workshop/online training for a group of 10+ candidates.

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