Model risk management workshop

  • Quant and model risk, AI and machine learning
View Agenda

Key reasons to attend  

  • Access impactful ways to maximise data and analytical abilities
  • Implement strategies to optimise and transform models 
  • Evaluate the key elements and design principles of model validation

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Customised Solutions

Does your team require a tailored learning solution on this or any other topic?

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 in-person event offers the opportunity for participants to enhance their understanding of MRM by exploring the key characteristics and emerging technologies in the industry.  

Participants will learn how to develop a healthy MRM framework by studying model risk appetite and optimal organisational structures. Sessions will explore key requirements for effective MRM, such as the governance, policies and controls required.

Through active learning and Q&A sessions alongside an expert tutor, participants will acquire the necessary tools to improve the robustness of models in order to withstand the current volatile markets. 


Avoid the price increase - book by December 31, 2024 

Save up to $1,000*. Use promo code ‘LOCK24’ at checkout or contact us at learning@risk.net for more details.


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: save up to 60% - request price breakdown

*T&Cs apply

Learning objectives

  • Identify relevant model validation techniques and approaches
  • Implement artificial intelligence (AI) applications to model risk management (MRM) frameworks
  • Address the impact of environmental, social and governance (ESG) factors in financial risk modelling
  • Align current trends and regulatory requirements between AI, machine learning and MRM
  • Apply appropriate policies and procedures into MRM frameworks
  • Evaluate the results of model quantification

Who should attend

Relevant departments may include but are not limited to:  

  • MRM
  • Model risk
  • Pricing models
  • Credit models
  • Risk management
  • AI
  • Data science
  • Technology
  • Regulation
  • Front office

Agenda

March 27, 2025

In-person. Location: Hong Kong

Sessions:

  • The importance of managing model risk
  • Model risk regulatory landscape
  • MRM frameworks
  • Case study one: end-to-end processes for MRM
  • Ideal infrastructure for managing model risk
  • Case study two: examples of model risk quantification
  • Model risk in artificial intelligence and machine learning models
  • Case study three: presentation and use of model risk metrics

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Pre-reading materials

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

  • A new automated model validation tool for financial institutionsRead article
  • Model risk management is evolving: regulation, volatility, machine learning and AIRead article
  • Unlocking the power of model ops for risk management gainsRead article

To access some of the above articles you need to have a current subscription to Risk.net. If you don’t have one now, please subscribe to a free trial

Registration

March 27, 2025

In-person, Hong Kong

Price

$1,800

Early-bird Price

$1,400
Ends February 7
Book now

Enquire about:

  • Agenda and registration process
  • Group booking rates
  • Customisation of this programme
  • Season tickets options

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