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AI-driven risk management in finance workshop

  • AI and machine learning, Quant and model risk
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Key reasons to attend 

  • Understand the key artificial intelligence risk drivers
  • Learn about AI applications in the financial industry
  • Examine AI risk mitigation practices and use cases  

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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

Join this in-person workshop to enhance your knowledge of the fundamental principles of AI and gain valuable insights into the ways organisations are integrating AI into their risk management practices. Expert-led sessions will guide participants on the use of AI model validation techniques and setting an AI risk appetite.

Key sessions will navigate the local regulatory landscape, highlighting responsible uses of AI and the ethical considerations for financial institutions, such as AI explainability and the development of AI governance frameworks.

Participants will enhance their knowledge of the diverse roles of AI in risk management, including in such areas as operational, cyber and financial risk management. Participants will also learn how financial institutions are integrating GenAI into their current practices. 

See the ‘Agenda’ and/or ‘Registration’ sections for available dates and locations.


Pricing options*:

  • Early-bird rate: save up to $500 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: cost-effective option for groups of 10 or more. Learn more 

*T&Cs apply

Learning objectives

  • Assess how to deal with AI hallucinations
  • Navigate the local regulatory guidelines impacting AI in finance
  • Explore ethical considerations and data privacy concerns
  • Implement AI model validation techniques
  • Examine the use of generative AI (GenAI) in risk management
  • Evaluate the challenges of AI explainability and interpretability

Who should attend

Relevant departments may include but are not limited to:  

  • Risk management
  • AI
  • IT and data
  • Risk model validation
  • Model risk
  • Quant analysis
  • Financial crime
  • Machine learning
  • Operational risk
  • Risk technology
  • Compliance
  • Regulation

Pre-reading materials

Browse through the Risk.net resources to enhance your learning experience:

A Risk.net subscription will provide you access to the content. Alternatively, register for free to read two articles.

Enquire about:

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

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