DURACIÓN: 16 Hours
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.
Please refer to course overview.
This course is intended for relationship managers, credit managers, business division managers, risk managers and business analysts who will be working on the implementation.
There are no prerequisites for this course.
1. Concepts and Methodology
3. Credit Workflow Overview
4. Risk Entity Structures
6. Risk Control Overview
7. Facilities and Mitigation
8. Treasury / Capital Markets
9. Credit Limit Management
10. Excess Management
Prior to enrolling, IBM Employees must follow their Division/Department processes to obtain approval to attend this public training class. Failure to follow Division/Department approval processes may result in the IBM Employee being personally responsible for the class charges.
GBS practitioners that use the EViTA system for requesting external training should use that same process for this course. Go to the EViTA site to start this process:
Once you enroll in a GTP class, you will receive a confirmation letter that should show:
30 mar. 2023
Self Paced Training