In this webinar, you'll learn:
- How to address emerging PRA expectations for AI and model risk governance
- How to build validation frameworks that meet SS1/23 standards
- How to future-proof your models for evolving regulatory scrutiny
WEBINAR
10 June at 2:00 p.m. BST
Join David Asermely as he unpacks the PRA’s SS1/23 regulation and what it means for financial institutions deploying AI and algorithmic models.
This session will provide practical insights into aligning governance, validation, and documentation processes with regulatory expectations.
"Banks should treat SS1/23 not just as a regulatory hurdle, but as a strategic opportunity to embed risk-aware practices into AI and ML model development. Achieving compliance requires cross-functional alignment, robust documentation, and clear accountability for model governance."
Test, validate, and confidently deploy statistical, AI, or GenAI models.
Test, validate, and confidently deploy statistical, AI, or GenAI models.