Operational Risk Management - Basel II - Online

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.

This is an online self study course that can be globally accessed 24/7 from any internet enabled computer. Access is for 91 days. Certificates with earned credits will be awarded upon successful completion.


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). <p> 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.
Students will be able to:
  • 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
  • Explain the concept of operational risk (OpsRisk), including its scope
  • Explain the key components of loss data collection methodology
  • Define and explain what is risk self-assessment
  • Describe the various risk self-assessment components
  • Explain takeaways or key considerations for developing and implementing effective risk self-assessment processes.
  • Define and explain the 'key Risk Indicators' (KRIs)
  • Describe key components of a KRI framework
  • Recognize KRI implementation challenges
  • Effectively summarize KRIs utilizing this course's key takeaways
  • Define and explain the term 'quantification' in conjunction with operational risk
  • Identify the key components that constitute OpsRisk quantification
  • Appreciate the challenges associated with operational risk quantification
  • Identify the key considerations for developing a sound quantification model
  • 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
  • Provide an overview of the management applications
"The online course material was very clear and easy to work with and understand. The course content is very valuable in understanding the fundamentals of the subject."
ORM Framework
After completing this module, students will be able to
  • 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
Duration: 2 hours

Risk Identification
After completing this module, students will be able to
  • Explain the concept of
Duration: 1 hour

Loss Data Collection Methodology
After completing this module, students will be able to
  • Explain the key components of loss data collection methodology
Duration: 1 hour

Risk Self-Assessment
After completing this module, students will be able to
  • 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
Duration: 1 hour

Key Risk Indicators
After completing this module, students will be able to
  • Define and explain the
  • 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
Duration: 1.5 hours

Risk Quantification - I
After completing this module, students will be able to
  • Define and explain the term
  • 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
Duration: 1 hour

Risk Quantification - II
After completing this module, students will be able to
  • Describe the concepts of loss distribution approach (LDA)
  • Describe the concepts of loss database
  • nderstand and explain distribution modeling and its various strategies in detail
  • Explain the process of loss simulation
  • Explain the different aspects of capital calculation
Duration: 2 hours

Management Applications
After completing this module, students will be able to
  • 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
Duration: 1 hour

Realization Challenges and Deployment Strategy
After completing this module, students will be able to
  • Discuss the typical challenges in the practical realization of OpsRisk capabilities and methods
  • Describe a successful deployment approach or strategy

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