AI-driven risk management in finance workshop

  • AI and machine learning
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Key reasons to attend 

  • Understand the key artificial intelligence (AI) risk drivers  
  • Learn about AI applications in the financial industry  
  • Examine the importance of large language models  

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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 learning event to 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 strategies for optimising model results.

Key sessions will navigate the current 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 areas such as compliance, cyber and financial risk management. Participants will also learn about how financial institutions are integrating this generative AI into their current practices.

Learning objectives

  • Navigate the local regulatory guidelines impacting AI in finance  
  • Explore ethical considerations and data privacy concerns
  • Apply AI techniques to enhance operational and IT risk management
  • Implement AI model validation techniques 
  • Examine the use of generative AI 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 
  • IT and data 
  • Risk model validation  
  • Model risk  
  • Quant analysis  
  • Financial crime  
  • Operational risk  
  • Risk technology  
  • Compliance 
  • Regulation  

Agenda

Sessions:

  • Artificial intelligence (AI): understanding the fundamental dynamics
  • Forthcoming intentions for AI
  • Introduction to AI in risk management
  • Overview of generative AI
  • Using AI to enhance risk management
  • AI models
  • Class exercise
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Pre-reading materials

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

  • Iosco gears up for ‘intensive work’ on AI regulation - Read article
  • The fine line with LLMs: financial institutions’ cautious embrace of AIRead article
  • AI expert warns of algo-based market manipulation - Read article

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

Registration

June 25, 2025

In-person, Tokyo, Japan

Price

$1,800

Early-bird Price

$1,400
Ends May 9

June 3–5, 2025

Online

Price

£3,199

Early-bird Price

£2,399
Ends May 2
Book now

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

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