AI-driven risk management in finance
View AgendaKey reasons to attend
- Examine the diverse applications of artificial intelligence (AI) in risk management
- Navigate the latest regulatory frameworks impacting AI
- Identify and mitigate AI-related risks
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About the course
AI has revolutionised risk management in finance, introducing ground-breaking approaches to identify and mitigate risks. This course provides an in-depth exploration of AI’s dual role as a source of risk and a powerful tool for managing it, covering financial and non-financial risks.
Participants will discover the regulatory frameworks shaping AI use, as well as ethical considerations and data privacy challenges. Expert practitioners will share case studies on generative AI, showcasing its applications for qualitative risk management and as a virtual risk manager.
Attendees will gain practical insights into implementing AI in risk management, from model validation techniques to addressing challenges such as transparency, fairness and bias in AI models.
What participants say:
“This was a very good introduction to AI. I liked the overview and just the right level of technical details. Catered to different backgrounds of the participants”
“The sessions were very practical and we’ve covered all aspects of using AI for financial industry. Highly recommended course for bankers, supervisors and issuers”
“Speakers had industry experience and provided real world perspective”
Pricing options*:
- Early-bird rate: save up to $800 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
- Address ethical considerations and data privacy challenges
- Apply AI techniques to enhance financial and non-financial risk management
- Develop skills for effective data collection and preparation
- Implement model validation techniques to improve AI performance
- Explore the challenges and opportunities of AI adoption
- Understand the role of explainable AI in building trust
Who should attend
Relevant departments may include but are not limited to:
- Risk management
- IT and data
- Validation
- Model risk
- Quantitative finance
- Financial crime
- Operational risk
- Risk technology
- Compliance
Agenda
April 28–30, 2026
Live online. Timezones: Emea/Apac
Agenda coming soon
October 6–8, 2026
Live online. Timezones: Emea/Americas
Agenda coming soon
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