AI-driven risk management in finance

While AI technologies have reshaped how organisations are identifying, assessing, monitoring and managing risk, successful adoption requires a clear understanding of these technologies, the associated risks and a robust governance framework. This course provides an in-depth exploration of AI’s dual role as a source of risk and a powerful tool for managing it, with content spanning the fundamentals of AI, machine learning and generative AI to responsible use and ethical considerations.

Participants will explore how AI can be integrated across their organisation, while also addressing challenges associated with implementation, including data governance and transparency. Through the examination of regulatory expectations and the resulting uncertainty, participants will discuss ways to manage bias, interpret outcomes and effectively communicate with regulators and senior management.

Key sessions will focus on generative AI and its potential to support qualitative risk management activities and practical approaches to validating, monitoring and challenging AI models.

This course will equip participants with the skills needed to effectively utilise AI capabilities in their organisations and establish strategies for managing new risks as they arise.

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”