IBM Algorithmics Introduction to Algo Credit Manager (v5.3) SPVC – g3064gspl
Course #:
Duration: 2 Days
Contains: PDF course guide, as well as a lab environment where students can work through demonstrations and exercises at their own pace.
This course will introduce the audience to the concepts of Algo Credit Manager (ACM) and explain the various options to view risk, exposure, mitigation, and limits. It will highlight the process of setting up counterparty structures, views of the own bank structures, and aggregation of risk across various criteria.
Objectives
Please refer to course overview.
Audience
This course is intended for relationship managers, credit managers, business division managers, risk managers and business analysts who will be working on the implementation.
Prerequisites
There are no prerequisites for this course.
Topics
1. Concepts and Methodology
2. Navigation
3. Credit Workflow Overview
4. Risk Entity Structures
5. Consolidation
6. Risk Control Overview
7. Facilities and Mitigation
8. Treasury / Capital Markets
9. Credit Limit Management
10. Excess Management