IFRS 9: implementation and management
View AgendaKey reasons to attend
- Learn about the regulatory risk implications of International Financial Reporting Standard (IFRS) 9
- Understand the diverse data needed for IFRS 9 model validation
- Align IFRS 9 framework and the internal ratings-based approach
Customised solutions
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About the course
In this three-day interactive learning opportunity, participants will enhance their understanding of IFRS 9 best practice by developing the skills to consistently manage IFRS 9 model risk, evaluate risk stage determination, and explore IFRS 9 model validation and its alternatives to develop a robust framework.
Participants will explore practical examples of the IFRS 9 implementation challenges, focusing on data management and the implications of quality and availability, as well as the difficulties of stress-testing under IFRS 9.
Interactive sessions will connect the expert tutor with participants through active discussion. With correct implementation of models fundamental in the current uncertain environment, participants will learn how to deal with loss and exposure given default.
What participants say:
- “The tutor is very knowledgeable and he clarified all the questions”
- “This course provided a clear and structured breakdown of IFRS 9. The examples and practical insights made the complexities of modelling much easier to grasp.”
- “Highly recommended for anyone working in risk or finance. The course gave me the tools to apply IFRS 9 concepts confidently in real-world scenarios.”
Pricing options:
- Early-bird rate: save up to $800 per person by booking in advance
- 3-for-2 rate: save over $3,000 by booking a group of three attendees
- Subscriber reward: save 30% off the standard rate if you are a Risk.net subscriber
- Season tickets: cost-effective option for groups of 10 or more. Learn more
*T&Cs apply
Learning objectives
- Calculate expected credit loss under IFRS 9
- Manage model risk for IFRS 9 models
- Evaluate the different components of IFRS 9 validation
- Overcome the challenges of conducting stress tests under IFRS 9
- Assess the importance of data availability for modelling
- Explore credit risk models in the setting and consideration of the Basel and IFRS 9 guidelines
Who should attend
Relevant departments may include but are not limited to:
- Credit risk
- Model risk
- Risk modelling
- Risk specialists
- Model risk management
- Stress-testing
- Internal auditors
Tutors
Grigoris Karakoulas
President
InfoAgora Inc
Grigoris has over 26 years of experience in predictive modelling and risk management. He is the president and founder of InfoAgora that provides risk management consulting and more to financial services organisations. He is an adjunct professor in the department of computer science at the University of Toronto.
Prior to founding InfoAgora, Grigoris was working at CIBC as vice president of customer behavior analytics, responsible for customer decisioning and credit risk measurement solutions for adjudicating new customers and proactively managing existing ones. He has been a postdoctoral fellow in the Institute of Information Technology at the National Research Council. He is on the PRIMA subject matter boards for stress-testing and enterprise risk management and has published more than 40 papers in journals and conference proceedings. He holds a PhD in computer science.
Accreditation
This course is CPD (Continued Professional Development) accredited. One credit is awarded for every hour of learning at the event.
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