In the final course from the Risk Management specialization, you will be introduced to the different roles in risk governance and the benefits of establishing an operational risk management program at your own workplace. This course will highlight key elements of an Op Risk Management framework and help you identify the appropriate elements to incorporate in your own program. By the end of the course, you will be able to capture, report, and investigate operational risk events, produce meaningful key risk indicator (KRI) data and trend analysis, assess organizational risk appetite, and design an Operational Risk Control and Self-Assessment program. To be successful in this course, you should have a basic knowledge of statistics and probability and familiarity with business operations. Experience with MS Excel and Python recommended.

We’ll begin by looking at the operational risk management setup.

In this module we will look at the tools that operational risk managers use to flag and identify risks.

In Module 3, we’ll look at how you collect operational risk data to measure and analyze risk. We’ll also look at how you calculate regulatory risk capital requirements for unexpected losses and how to create scenario analyses.

Module four will cover the management and governance framework of operational risk.