Risk model validation: implementation tools and techniques

  • Quant and model risk
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Key reasons to attend

  • Gain skills and tools for effective risk model validation 
  • Focus on design, implementation and validation of models 
  • Build own roadmap for validation and explore next steps in the journey 

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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

Build your knowledge of risk model validation through understanding key elements of risk models and best practices for creating a validation framework in your institution. 

Participants will gain insight into the stages of risk model validation including the roles, expectations and general rules of a validation framework. Combined with a deeper understanding of risk models and the role of statistics in risk model validation, participants will have the skills needed for successful implementation. 

A case study and examples will solidify concepts presented by subject matter experts regarding risk model validation for different areas of risk such as market risk, credit portfolio models and credit risk.

Participants will also explore model governance, inventory and next steps in their risk model validation journey.  


Pricing options:

  • Early-bird rate: save up to $800 per person by booking in advance*
  • 3-for-2 rate: save over $2,000 by booking a group of three attendees*
  • Subscriber reward: save 30% off the standard rate if you are a Risk.net subscriber*
  • Season tickets: cost-effective option for groups of 10 or more. Learn more

*T&Cs apply

Learning objectives

  • Apply the tools needed for successful design and implementation of risk models 
  • Validate and utilise model results by statistical methods 
  • Perform scenario analysis for credit portfolio models 
  • Demonstrate statistical methods for validating data 
  • Identify model risk governance and model inventory strategies
  • Proactively use machine learning techniques to benchmark market risk models 

Who should attend

Relevant departments may include but are not limited to:  

  • Risk model validation
  • Model risk   
  • Risk management  
  • Market / credit risk management  
  • Stress testing  
  • Model review 

Agenda

Sessions:

  • The origin of risk models
  • Elements of risk models and risk model failures
  • Building a roadmap for validation
  • Toolbox one: machine learning/market risk
  • Toolbox two: credit portfolio models
  • Toolbox three: credit risk
  • Looking back and looking ahead

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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.

Enquire about:

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

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