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 Operational 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.
Lesson 1: Risk Event Data Collection
Skills You'll Learn
Risk Management, Risk Control, Business Process, Key Performance Indicators (KPIs), Risk Appetite, Operational Risk, Business Risk Management, Risk Management Framework, Analysis, Enterprise Risk Management (ERM), Governance, Regulatory Requirements, Risk Analysis
Reviews
4.6 (359 ratings)
- 5 stars74.37%
- 4 stars18.66%
- 3 stars3.89%
- 2 stars2.50%
- 1 star0.55%
FF
Jan 8, 2023
Pretty good summary of operational risk management aspects. Not many classes exist for this topic, so very happy to have found this one!
HD
Nov 20, 2022
Well planned and thoughtful. This would add value in my capacity and understanding as Ops Risk Manager in Financial Institution.
From the lesson
Module 03: Operational Risk Measurement and Analysis
In Module 3, we鈥檒l look at how you collect operational risk data to measure and analyze risk. We鈥檒l also look at how you calculate regulatory risk capital requirements for unexpected losses and how to create scenario analyses.
Taught By
Jack Farmer
Curriculum Director