Operational Risk Management - Basel II (Library of 9 courses)

  • ID: 2989065
  • Training
  • Region: Global
  • KESDEE Inc
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This eLearning module comprises of a series of units or "core themes" to collectively cover the complete scope of norms and requirements as prescribed by the Basel II mandate. Beginning with an explanation of the components that form the ORM framework, describing then the risk assessment process, the subsequent units delve in to the qualitative and quantitative details in support of effective OpsRisk Management. The final two units look at management application, as well as realization/ deployment challenges.

Learning Objectives:

- Explain the concept of "risk identification" in the context of Basel II and operational risk management
- Define the operational risk management framework, policy, and processes as per Basel II Accord
- Explain the key components of loss data collection methodology
- Define and explain what is risk self-assessment and the various risk self-assessment components
- Explain takeaways or key considerations for developing and implementing effective risk self-assessment processes
- Describe the concepts of loss distribution approach (LDA), loss database, and distribution modeling and its strategies
- Explain the process of loss simulation and understand different aspects of capital calculation
- Analyze the importance of operational risk management for the management
- Describe a successful deployment approach or strategy for operational risk management framework

Target Audience:

This eLearning module is for audience with intermediate skills and expertise in risk management at banks. Typical audience will also include middle and senior management from banking departments like OpsRisk Management, Control, Auditing, Compliance, as well as Information Technology (IT).

Service providers to banks will also find these courses very relevant in establishing a sound understanding of their client's needs in support of Basel II OpsRisk Management.
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1. ORM Framework
This course provides an understanding of:

Define the components that collectively form a sound operational risk management framework in support of the requirements prescribed by the Basel II Accord
Explain the concept of operational risk (OpsRisk), including its scope
Explain the required governance and organizational constructs
Describe OpsRisk necessary policy and processes
Describe functional requirements of underlying OpsRisk enabling systems

2. Risk Identification
This course provides an understanding of:

Explain the concept of "risk identification" in the context of Basel II and operational risk management

3. Loss Data Collection Methodology
This course provides an understanding of:

Explain the key components of loss data collection methodology

4. Risk Self-Assessment
This course provides an understanding of:

Define and explain what is risk self-assessment
Describe the various risk self-assessment components, including:
- The concept of steady-state process risk and control analysis
- Growth areas and special projects' analysis
- Risk and control culture assessment
- Scenario analysis
Explain takeaways or key considerations for developing and implementing effective risk self-assessment processes.

5. Key Risk Indicators
This course provides an understanding of:

Define and explain the "key Risk Indicators" (KRIs)
Describe key components of a KRI framework
- Design and rationalizing of KRIs
- Data acquisition, maintenance, and distribution in support of KRIs
- KRI reporting Recognize KRI implementation challenges
Effectively summarize KRIs utilizing this course's key takeaways

6. Risk Quantification - 1
This course provides an understanding of:

Define and explain the term "quantification" in conjunction with operational risk
Identify the key components that constitute OpsRisk quantification, namely:
- Loss distribution approach (LDA)
- Loss database
- Distribution modeling
- Loss simulation
- Capital calculation
Appreciate the challenges associated with operational risk quantification
Identify the key considerations for developing a sound quantification model

7. Risk Quantification - 2
This course provides an understanding of:

Describe the concepts of loss distribution approach (LDA)
Describe the concepts of loss database
Understand and explain distribution modeling and its various
Strategies in detail
Explain the process of loss simulation
Explain the different aspects of capital calculation

8. Management Applications
This course provides an understanding of:

Provide an overview of the management applications
Analyze the key management applications:
- Enhanced Risk Awareness
- Actions to Reduce Operational Losses
- Capital Planning and Risk Optimization
Discuss the key take-aways

9. Realization Challenges and Deployment Strategy
This course provides an understanding of:

Discuss the typical challenges in the practical realization of OpsRisk capabilities and methods
Describe a successful deployment approach or strategy
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