SAS Risk Modeling enables you to quickly and efficiently create analytical base tables that are used for developing credit scoring models. In this course, you learn how to create analytical base tables by calculating variables using multiple data sources. Also, you learn to use the Risk Modeling workspaces that are used for implementing models and monitoring their performance.

Learn how to

• Explain the business purpose and use of SAS Risk Modeling.
• Create an analytical base table (ABT).
• Import models from a source model directory.
• Backtest a model.
• Deploy a model.
• Create reports on credit scoring models.

Who should attend

Credit, risk, and business analysts in financial institutions who are responsible for building analytical base tables used for modeling, as well as model specification, deployment, backtesting, and monitoring

Formats available	Standard Duration (duration can vary, see event schedule for details)
Classroom:	2 days
Live Web Classroom:	4 half-day session(s)	System Requirements
e-Learning:	14 hours/180 day license

This course is for modelers and analysts who have a basic understanding of the credit scoring process. Introductory knowledge of SAS tools such as Model Studio is helpful but not required.

This course addresses SAS Risk Modeling software.

Risk Modeling Solution Overview

• Solution overview.
• SAS Viya overview.

Data Preparation Workspace

• Data Preparation Workspace overview.
• Create project.
• Data set parameters.
• Target population.
• Variables.
• Build data set.

Data Configuration Workspaces

• Data Configuration Workspaces.

Model Sources

• Model sources.

Model Implementation and Monitoring

• Model specification.
• Backtesting.
• Model implementation.
• Ongoing model monitoring.

Externally Prepared Data

• Analytical base table.
• Scoring input data set.
• Scoring and actuals data sets.

Additional Topics

• Caslibs
• SAS content.
• Reports.