Operational Risk Management Booster by Dr. Ariane Chapelle
A complete course to enhance your knowledge and career in operational risk.
This training is completely in English and consists of 8 sessions of 60 – 90 minutes.
Price
The e-Learning course costs 250 euros (excluding VAT, when applicable). The price covers:
Access to the e-Learning platform
Each session is made of several lessons, including
- Slides and audio
- Explanatory videos by Dr Ariane Chapelle
- Additional References to find on the internet, or books recommended
- Additional downloadable readings
You will receive a downloadable Certificate of Completion at the end of the course.
Registration
Press the button above and select the “ORM Booster” e-Learning course
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After payment you will receive the login information for the e-Learning platform
Content
- ORM and ERM – International Standards (ISO, COSO)
- Framework and risk management actions
- The ORM toolbox
- Linking it all together
- Recent developments in risk management
- Principles and tools for risk identification
- Top-down & bottom-up risk identification
- A framework for emerging risks
- Management the different types of emerging risks
- Lessons from the latest pandemic
- Industry practice on Risk Appetite
- Structure of actionable risk
- Appetite, Tolerances , KRIs and limits
- Top-down and bottom-up approaches to risk appetite
- The role and uses of RCSAs
- Impact and likelihood scales
- Control Design and control testing
- Modern RCSAs
- Essential features of preventive KRIs
- KPIs, KRIs, KCIs
- Classifying KRIs: Environmental, Stress, Causal and Failure
- KRI Design: thresholds and data
- Bow-tie tool for root cause analysis
- Defining Risk Culture
- Defining and Influencing critical behaviours
- Awareness and training programme
- The role of incentives
- Assessing risk culture changes
- Workshop techniques to identify scenarios
- Scenario analysis and assessment: steps and best practice
- Assessing rare events
- Examples of IT scenarios assessment
- The role of incident data collection
- Data features: core losses and tail risks
- Three golden rules of reporting
- Aggregating risk data