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Course AGRC-056

Model Risk Management and Validation

Models are used throughout modern organisations to price products, assess credit, value assets, forecast demand, detect... The outline covers Understanding Model Risk, Governance, Inventory and Standards, Independent Mod...

  • 5 daysClassroom or online
  • 49Upcoming dates
  • 12Cities
  • €2,175Fees from

Choose your format and date

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

Classroom sessions

  1. 7–11 Dec 2026

    Frankfurt

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  2. 14–18 Dec 2026

    London

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  3. 21–25 Dec 2026

    Barcelona

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  4. 4–8 Jan 2027

    Frankfurt

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  5. 11–15 Jan 2027

    Munich

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  6. 18–22 Jan 2027

    London

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  7. 25–29 Jan 2027

    Barcelona

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  8. 1–5 Feb 2027

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  9. 8–12 Feb 2027

    Frankfurt

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  10. 15–19 Feb 2027

    Paris

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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

    Rome

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  16. 5–9 Apr 2027

    Vienna

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  17. 12–16 Apr 2027

    London

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  18. 19–23 Apr 2027

    Barcelona

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  19. 26–30 Apr 2027

    Frankfurt

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  20. 3–7 May 2027

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  21. 10–14 May 2027

    Amsterdam

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  22. 17–21 May 2027

    London

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  23. 24–28 May 2027

    Barcelona

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  24. 7–11 Jun 2027

    Frankfurt

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  25. 14–18 Jun 2027

    London

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  26. 21–25 Jun 2027

    Barcelona

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  27. 5–9 Jul 2027

    London

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  28. 12–16 Jul 2027

    Barcelona

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  29. 19–23 Jul 2027

    Frankfurt

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  30. 26–30 Jul 2027

    Dubai

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  31. 2–6 Aug 2027

    Geneva

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  32. 9–13 Aug 2027

    London

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  33. 16–20 Aug 2027

    Barcelona

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  34. 23–27 Aug 2027

    Frankfurt

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  35. 6–10 Sep 2027

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  36. 13–17 Sep 2027

    London

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  37. 20–24 Sep 2027

    Barcelona

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  38. 4–8 Oct 2027

    Barcelona

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  39. 11–15 Oct 2027

    Frankfurt

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  40. 18–22 Oct 2027

    Kuala Lumpur

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  41. 25–29 Oct 2027

    London

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  42. 1–5 Nov 2027

    London

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  43. 8–12 Nov 2027

    Barcelona

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  44. 15–19 Nov 2027

    Frankfurt

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  45. 22–26 Nov 2027

    Madrid

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  46. 6–10 Dec 2027

    Munich

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  47. 13–17 Dec 2027

    London

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  48. 20–24 Dec 2027

    Barcelona

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  49. 27–31 Dec 2027

    Frankfurt

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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

Models are used throughout modern organisations to price products, assess credit, value assets, forecast demand, detect fraud and support strategic decisions. Increasingly these include machine learning and artificial intelligence models. When models are poorly designed, misused or not monitored, they can produce costly errors and regulatory breaches.

This Model Risk Management and Validation training course explains how to govern, validate and monitor models across their life cycle. Participants learn how to build a model inventory, tier models by risk, set development and documentation standards, perform independent validation, monitor performance and manage model changes and limitations.

The course draws on widely recognised supervisory guidance and industry practice, and is relevant to both financial institutions and other organisations that rely heavily on analytical models.

View full course outline

What you will achieve

Learning objectives

  • Explain the sources and consequences of model risk
  • Design a model risk management framework and governance
  • Build and maintain a model inventory with risk tiering
  • Set standards for model development and documentation
  • Plan and perform independent model validation
  • Monitor model performance and manage limitations
  • Address specific risks of machine learning and AI models
  • Report model risk to senior management and the board

Who should attend

Target audience

  • Model risk managers and validators
  • Quantitative analysts and model developers
  • Data scientists
  • Risk managers and chief risk office staff
  • Internal auditors reviewing models
  • Compliance and regulatory affairs professionals

Methodology

Learning approach

  • The course combines framework discussion with practical validation exercises. Participants tier a sample model inventory, review model documentation, design validation tests, interpret monitoring results and evaluate the governance of an AI model. Case studies illustrate model failures and lessons learned.

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

Understanding Model Risk

  1. What counts as a model and why definitions matter
  2. Sources of model risk: design, data, implementation and use
  3. Consequences of model failure with real examples
  4. Coffee break
  5. Supervisory expectations for model risk management
  6. The model life cycle from development to retirement
  7. Roles of owners, developers, users and validators
  8. Exercise: identifying models in your organisation

Day 2

Governance, Inventory and Standards

  1. Model risk management policy and governance structure
  2. Building a complete model inventory
  3. Risk tiering based on materiality and complexity
  4. Coffee break
  5. Model development standards and documentation
  6. Approval processes and use limitations
  7. End-user computing tools and spreadsheets
  8. Workshop: tiering a sample model inventory

Day 3

Independent Model Validation

  1. Scope and frequency of validation by tier
  2. Conceptual soundness and assumption review
  3. Data quality and input testing
  4. Benchmarking, back-testing and sensitivity analysis
  5. Coffee break
  6. Benchmarking, back-testing and sensitivity analysis (continued)
  7. Implementation and code review
  8. Validation findings, ratings and remediation
  9. Exercise: designing a validation plan

Day 4

Monitoring and Change Management

  1. Ongoing performance monitoring and thresholds
  2. Model drift, stability and population changes
  3. Overrides, overlays and management adjustments
  4. Model change control and revalidation triggers
  5. Coffee break
  6. Model change control and revalidation triggers (continued)
  7. Managing model limitations and compensating controls
  8. Decommissioning and retiring models safely and traceably
  9. Exercise: interpreting a model monitoring report

Day 5

AI Models, Reporting and Assurance

  1. Specific risks of machine learning and AI models
  2. Explainability, bias and fairness testing
  3. Governance of third-party and vendor models
  4. Model risk reporting and aggregate risk profile
  5. Coffee break
  6. Model risk reporting and aggregate risk profile (continued)
  7. Internal audit of the model risk framework
  8. Building validation capability and independence
  9. Personal action plan for model risk management

Ready to book?

Model Risk Management and Validation

Next session: 7 - 11 December 2026, Frankfurt

Course FAQs

Questions about this course

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What does Model Risk Management and Validation (AGRC-056) cover?

This course covers Auditing and Governance Risk and Compliance 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 14 - 18 December 2026. See the course schedules section for the available dates and delivery formats.

Who should attend this course?

Model risk managers and validators, Quantitative analysts and model developers, Data scientists

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, Munich, Paris, Rome, Vienna, Amsterdam, Dubai, Geneva, Kuala lumpur, Madrid.

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).