AI-driven risk management in finance workshop
View AgendaKey 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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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.
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: save up to 60% - request price breakdown
*T&Cs apply
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
June 16, 2025
In-person. Location: London
This workshop is part of Risk Live Europe (June 17–18, London, UK) and will be held the day before the conference. If you are attending Risk Live Europe, please contact us to claim your discounted rate*.
Sessions:
- Artificial intelligence (AI): understanding the fundamental dynamics
- AI regulatory landscape and development of AI governance frameworks
- Overview of generative AI
- Case studies: using AI to enhance risk management
- AI models
- Risks of using AI
- Case study group exercise
*T&C apply
June 25, 2025
In-person. Location: Tokyo
This workshop is part of Risk Live Japan, and will take place one day after the conference.
Click here to learn more about the conference and workshop rates.
Venue: FEEEP Yaesu (Nihonbashi) store, Fuji Building Annex 3F, 1-4-4 Yaesu, Chuo-ku, Tokyo
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
Request detailed agenda
September 23, 2025
In-person. Location: Singapore
This workshop is part of Risk Live Asia, and will take place one day before the conference.
Click here to learn more about the conference and workshop rates.
Venue: CityHub Collyer Pte Ltd, 20 Collyer Quay, Level 23, Singapore 049319
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
Request detailed agenda
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 AI - Read 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.
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