Effective model risk management

  • 3 days
  • Quant and model risk
  • 9 CPD points
View Agenda

Key reasons to attend

  • Implement impactful ways to maximise data and analytical abilities

  • Identify current trends and regulatory perspective on artificial intelligence (AI) and model risk management (MRM)

  • Understand on the impact of environmental, social and governance (ESG) factors in the financial model lifecycle

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Customised Solutions

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Working with the portfolio of expert tutors and Risk.net’s editorial team, we can develop and deliver a customised learning to make the most impact for your team, from initial assessment to final review. 

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About the course

This interactive learning experience, led by subject matter experts, explores the current outlook for MRM.

The course offers insight into model risk optimisation, including ways to improve model robustness to withstand market volatility.

Participants will also gain a deeper understanding of the impact of ESG elements on the financial model lifecycle, including model governance and validation in the AI and technology session, providing organisations with the tools to identify and disclose their exposure to various ESG risks.

Learning objectives

  • Evaluate model risk principles, including capturing model interconnectivity

  • Understand the optimisation of model risk through ongoing transformation of models

  • Implement MRM on derivate and security pricing models

  • Identify model validation techniques and approaches in MRM

  • Conduct impactful AI applications to typical MRM frameworks

  • Implement the impact of ESG factors in the financial model lifecycle including model governance and validation

Who should attend

Relevant departments may include but are not limited to:

  • Model risk management

  • Model risk

  • Pricing models

  • Credit models

  • Risk management

  • Artificial intelligence (AI)

  • Technology

  • Regulation


November 20–22, 2023

Time zones: Emea / Americas


  • Model risk regulatory landscape and framework

  • Optimisation of model risk

  • MRM for pricing models

  • Credit risk model management

  • Artificial intelligence (AI) and MRM technology

  • Climate and ESG modelling

View detailed agenda


This course is CPD (Continued Professional Development) accredited. One credit is awarded for every hour of learning at the event.

Pre-reading materials

The Risk.net resources below have been selected to enhance your learning experience:

A Risk.net subscription will provide you access to these articles. Alternatively, register for free to read two news articles a month.


November 20–22, 2023

Online, Emea/Americas



Early-bird Price

Ends October 20
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  • Customisation of this programme
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