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Course AF-073

Expected Credit Loss Modelling under IFRS 9

The expected credit loss model requires banks, finance companies and many corporates to recognise credit losses earlier,... The outline covers IFRS 9 Framework and Impairment Principles, Staging and Significant Increase...

  • 5 daysClassroom or online
  • 49Upcoming dates
  • 12Cities
  • €1,825Fees from

Choose your format and date

  • 5 days
  • 09:00–14:00
  • Certificate of attendance

Classroom sessions

  1. 7–11 Dec 2026

    Barcelona

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  2. 14–18 Dec 2026

    Frankfurt

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  3. 21–25 Dec 2026

    London

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  4. 4–8 Jan 2027

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  5. 11–15 Jan 2027

    Frankfurt

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  6. 18–22 Jan 2027

    Kuala Lumpur

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  7. 25–29 Jan 2027

    London

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  8. 1–5 Feb 2027

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  9. 8–12 Feb 2027

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  10. 15–19 Feb 2027

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  11. 22–26 Feb 2027

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  12. 1–5 Mar 2027

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  13. 8–12 Mar 2027

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  14. 15–19 Mar 2027

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  15. 22–26 Mar 2027

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  16. 5–9 Apr 2027

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  17. 12–16 Apr 2027

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  18. 19–23 Apr 2027

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  19. 26–30 Apr 2027

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  20. 3–7 May 2027

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  21. 10–14 May 2027

    Frankfurt

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  22. 17–21 May 2027

    Rome

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  23. 24–28 May 2027

    London

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  24. 7–11 Jun 2027

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  25. 14–18 Jun 2027

    Frankfurt

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  26. 21–25 Jun 2027

    London

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  27. 5–9 Jul 2027

    Amsterdam

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  28. 12–16 Jul 2027

    London

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  29. 19–23 Jul 2027

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  30. 26–30 Jul 2027

    Frankfurt

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  31. 2–6 Aug 2027

    Frankfurt

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  32. 9–13 Aug 2027

    Cape Town

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  33. 16–20 Aug 2027

    London

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  34. 23–27 Aug 2027

    Barcelona

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  35. 6–10 Sep 2027

    Barcelona

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  36. 13–17 Sep 2027

    Frankfurt

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  37. 20–24 Sep 2027

    London

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  38. 4–8 Oct 2027

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  39. 11–15 Oct 2027

    Barcelona

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  40. 18–22 Oct 2027

    Frankfurt

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  41. 25–29 Oct 2027

    Geneva

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  42. 1–5 Nov 2027

    Istanbul

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  43. 8–12 Nov 2027

    London

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  44. 15–19 Nov 2027

    Barcelona

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  45. 22–26 Nov 2027

    Frankfurt

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  46. 6–10 Dec 2027

    Frankfurt

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  47. 13–17 Dec 2027

    Kuala Lumpur

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  48. 20–24 Dec 2027

    London

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  49. 27–31 Dec 2027

    Barcelona

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Online / Live sessions

  1. 7–11 Dec 2026

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  2. 14–18 Dec 2026

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  3. 21–25 Dec 2026

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  4. 4–8 Jan 2027

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  5. 11–15 Jan 2027

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  6. 18–22 Jan 2027

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  7. 25–29 Jan 2027

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  8. 1–5 Feb 2027

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  9. 8–12 Feb 2027

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  10. 15–19 Feb 2027

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  11. 22–26 Feb 2027

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  12. 1–5 Mar 2027

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  13. 8–12 Mar 2027

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  14. 15–19 Mar 2027

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  15. 22–26 Mar 2027

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  16. 5–9 Apr 2027

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  17. 12–16 Apr 2027

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  18. 19–23 Apr 2027

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  19. 26–30 Apr 2027

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  20. 3–7 May 2027

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  21. 10–14 May 2027

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  22. 17–21 May 2027

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  23. 24–28 May 2027

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  24. 7–11 Jun 2027

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  25. 14–18 Jun 2027

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  26. 21–25 Jun 2027

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  27. 5–9 Jul 2027

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  28. 12–16 Jul 2027

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  29. 19–23 Jul 2027

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  30. 26–30 Jul 2027

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  31. 2–6 Aug 2027

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  32. 9–13 Aug 2027

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  33. 16–20 Aug 2027

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  34. 23–27 Aug 2027

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  35. 6–10 Sep 2027

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  36. 13–17 Sep 2027

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  37. 20–24 Sep 2027

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  38. 4–8 Oct 2027

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  39. 11–15 Oct 2027

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  40. 18–22 Oct 2027

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  41. 25–29 Oct 2027

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  42. 1–5 Nov 2027

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  43. 8–12 Nov 2027

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  44. 15–19 Nov 2027

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  45. 22–26 Nov 2027

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  46. 6–10 Dec 2027

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  47. 13–17 Dec 2027

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  48. 20–24 Dec 2027

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  49. 27–31 Dec 2027

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Introduction

Course overview

The expected credit loss model requires banks, finance companies and many corporates to recognise credit losses earlier, based on forward-looking information rather than waiting for losses to occur. Implementing it well demands a combination of accounting knowledge, credit risk understanding, data management and statistical modelling.

This training course explains the expected credit loss requirements of IFRS 9 and how they are applied in practice. Participants learn the staging approach, the definition of default, significant increase in credit risk, and how probability of default, loss given default and exposure at default are estimated and combined with macroeconomic scenarios.

The course also covers simplified approaches for trade receivables, governance and validation of models, management overlays, disclosures and the audit and regulatory scrutiny that expected credit loss estimates attract.

View full course outline

What you will achieve

Learning objectives

  • Explain the classification and impairment principles of IFRS 9
  • Apply the three-stage model and criteria for significant increase in credit risk
  • Define default and credit-impaired status consistently with risk management
  • Understand the estimation of probability of default, loss given default and exposure at default
  • Incorporate forward-looking macroeconomic scenarios into expected credit loss
  • Apply the simplified approach for trade receivables and contract assets
  • Establish governance, validation and management overlay processes
  • Prepare clear expected credit loss disclosures and support audit reviews

Who should attend

Target audience

  • Financial reporting and accounting professionals in banks and finance companies
  • Credit risk modellers and analysts
  • Risk managers and chief risk officers' teams
  • Corporate accountants managing receivables impairment
  • Internal and external auditors
  • Regulators and supervisors
  • Finance and risk transformation consultants

Methodology

Learning approach

  • The course combines technical explanations with spreadsheet-based modelling exercises, worked staging examples and case studies of disclosure practice. Participants build a simplified expected credit loss model, test scenario sensitivity and discuss governance challenges in small groups.

Complete course outline

Five focused days of learning and application

The timings provided are estimates and may vary depending on the number of participants and the discussions taking place during the sessions. They are indicative only and do not constitute a binding commitment.

Day 1

IFRS 9 Framework and Impairment Principles

  1. Why the Impairment Model Changed: Lessons from incurred loss accounting
  2. Classification and Measurement Overview: Business models and cash flow characteristics
  3. Scope of Impairment: Loans, debt securities, receivables and commitments
  4. The General Approach: Twelve-month and lifetime expected losses
  5. Coffee break
  6. The General Approach: Twelve-month and lifetime expected losses (continued)
  7. Key Concepts: Default, credit-impaired assets and write-offs
  8. Finance and Risk Roles: Data, models and accounting judgement
  9. Case Study: Reviewing an institution's impairment policy

Day 2

Staging and Significant Increase in Credit Risk

  1. Stage Allocation: Criteria and practical approaches
  2. Quantitative Indicators: Lifetime PD changes and thresholds
  3. Qualitative Indicators: Watch lists, forbearance and sector risks
  4. Coffee break
  5. Backstop Indicators: Days past due presumptions
  6. Transfers Between Stages: Cure periods and movement analysis
  7. Low Credit Risk Exemption: Appropriate use
  8. Practical Exercise: Allocating a loan portfolio to stages

Day 3

Risk Parameters and Modelling

  1. Probability of Default: Point-in-time and lifetime estimation
  2. Loss Given Default: Collateral, recoveries and cure rates
  3. Exposure at Default: Amortisation, prepayment and credit conversion factors
  4. Discounting and Effective Interest Rates
  5. Coffee break
  6. Discounting and Effective Interest Rates (continued)
  7. Data Requirements: History, quality and proxies
  8. Simplified and Provision Matrix Approaches for Receivables
  9. Workshop: Building an expected credit loss calculation

Day 4

Forward-Looking Information

  1. Macroeconomic Scenarios: Selecting variables and weights
  2. Linking Macro Factors to Credit Parameters: Satellite models
  3. Scenario Probability Weighting: Non-linearity considerations
  4. Management Overlays: When they are justified and how to document them
  5. Coffee break
  6. Management Overlays: When they are justified and how to document them (continued)
  7. Sensitivity Analysis: Understanding drivers of provision changes
  8. Stress Events and Uncertainty: Lessons from recent economic shocks
  9. Practical Exercise: Applying scenarios and calculating a weighted provision

Day 5

Governance, Disclosure and Audit

  1. Model Governance: Ownership, approval and change control
  2. Model Validation and Back-Testing: Assessing performance
  3. Disclosures: Reconciliations, credit risk exposures and judgements
  4. Audit Expectations: Evidence, controls and challenge
  5. Coffee break
  6. Audit Expectations: Evidence, controls and challenge (continued)
  7. Regulatory Interaction: Supervisory views on provisioning
  8. Continuous Improvement: Data, automation and reporting efficiency
  9. Final Exercise: Presenting provision results to an audit committee

Ready to book?

Expected Credit Loss Modelling under IFRS 9

Next session: 7 - 11 December 2026, Barcelona

Course FAQs

Questions about this course

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What does Expected Credit Loss Modelling under IFRS 9 (AF-073) cover?

This course covers Accounting and Finance through a structured five-day outline focused on practical application, discussion, and implementation planning.

When is the next available session?

The next scheduled session starts on 21 - 25 December 2026. See the course schedules section for the available dates and delivery formats.

Who should attend this course?

Financial reporting and accounting professionals in banks and finance companies, Credit risk modellers and analysts, Risk managers and chief risk officers' teams

Is bilingual course delivery available?

Yes. All course materials and presentations are provided in English, while bilingual explanation and discussion support may be available depending on the selected location and trainer availability. For example, when attending a course in Istanbul, you may request a Turkish-speaking trainer to explain the English course content in Turkish. Arabic explanation support may also be requested at this location. Other languages are available in selected cities. You can choose your preferred language support as an optional preference during registration.

How can I register for a session?

Use any Register button next to the available course dates to open the participant registration page and submit your booking request for the selected session.

Is this course available online as well as classroom-based?

Check the course schedules section for currently published classroom and Online / Live sessions.

Where are classroom sessions delivered?

Current classroom venues include London, Barcelona, Frankfurt, Kuala lumpur, Madrid, Munich, Paris, Rome, Amsterdam, Cape Town, Geneva, Istanbul.

How long is the training programme?

The programme runs for five days from 09:00 to 14:00, which gives 25 contact hours, including a daily 30-minute break (22.5 hours of instruction).