Model Risk Management Masterclass

Learn how to apply the best practices for effectively adopting various model risk frameworks through discussion and Q&A.

Model Risk Management Masterclass

September 26–29, 2022

Time zone: EMEA / APAC

Key reasons to attend

  • Acquire necessary skills for effective model risk management
  • Learn how to apply key tools to improve model risk frameworks
  • Focus on managing models across risk departments


Customised learning

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

Working with the portfolio of expert tutors and’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. 


Risk Training - Hero

This 4-day learning opportunity will explore the best practices for model risk monitoring and reporting. Participants will enhance their knowledge in model risk management to better implement effective approaches to risk model validation.

Participants will learn about model risk technologies, with particular focus on implementation techniques for AI in current model risk frameworks, and utilising data for climate and ESG models. Expert speakers will lead in-depth discussion on effective approaches for pricing models, as well as the key tools necessary for effective model risk management metrics for credit risk models.

Each 60-minute live session encourages peer-to-peer discussion for enhanced learning, providing maximum engagement with the detailed content and the opportunity to interact with the tutor through live Q&A and polls.

Learn how to
  • Identify appropriate model risk monitoring techniques and reporting options
  • Improve model robustness to withstand market volatility
  • Manage the valuation of working with independent price verification (IPV)
  • Strengthen understanding of regulations on credit risk modelling and implications
  • Apply MRM technology: capabilities, transparency, explainability
  • Interpret data sources needed for climate and environmental, social, and governance (ESG) models
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
Pricing options

We offer flexible pricing options for this course:

  • Early bird rates 

  • Group rate

  • Enterprise rates

  • Visit registration page for further information

  • Subscribe to receive Risk Training updates and avoid missing out on additional savings

Content support

For this course we have collated a selection of articles from to supplement your learning.

Risk Training is a part of - the world’s leading source of in-depth news and analysis on risk management, derivatives and complex finance.

View articles here


CPD Accreditation

This course is CPD (Continued Professional Development) accredited and will allow you to earn up to 8 credits. One credit is awarded for every hour of learning at the event.



Live Virtual training courses


Our live virtual training courses have been designed to engage and inspire you. Much more than a webinar, our approach includes:

  • Technical content compressed into 60-minute interactive sessions and spread out over two, three or four days

  • Facilitated collaboration including Q&A, interactive polling and group workshops

  • Live interaction with subject matter experts – get your questions answered in real time

  • Receive comprehensive course materials and supporting content from to reinforce your learning

  • Stay connected with other learners and extend your network by joining our dedicated LinkedIn group for course participants

Not the course for you?

Risk Training offers a great selection of courses providing practical guidance on the latest trends, challenges and regulatory changes that span risk management, regulation and derivatives.

View all courses


Risk Training's self-paced E-Learning platform offers Advanced Operational Risk programme. Covering in breadth and depth the most topical elements of operational risk management and its challenges for financial services