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 groundbreaking 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 non-financial and 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.
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
March 25–27, 2025
Live online. Timezones: Emea/Americas
Agenda sessions:
- Artificial intelligence (AI): understanding fundamental dynamics
- Introduction to AI in risk management
- Implementing AI governance
- AI and data management
- Model risk management for AI
- Using AI to enhance risk management
Tutor:
- Jesús Calderón, Managing director, Maclear Data Solutions
- Antony Hibbert, AI governance expert
- Jos Gheerardyn, Co-founder and CEO, Yields
- Paul Chammas, co-founder and managing partner, Quantum Risk Advisory
June 3–5, 2025
Live online. Timezones: Emea/Americas
Agenda sessions:
- Artificial intelligence (AI): understanding fundamental dynamics
- Introduction to AI in risk management
- Implementing AI governance
- AI and data management
- Model risk management for AI
- Using AI to enhance risk management
Pre-reading materials
The Risk.net resources below have been selected to enhance your learning experience:
- Mitigating model risk in AI
- Can financial firms grasp the AI opportunity?
- Elevating financial crime compliance and data management through AI
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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