The Completeness Challenge: Architecting Surveillance for New Frontiers and 24/7 Markets

Sponsored by:

As financial markets move towards 24/7 trading and embrace new asset classes, the surveillance function is facing significant challenges. The convergence of extended trading hours, complex data flows, and evolving market abuse typologies is stretching traditional, siloed surveillance models beyond their traditional capabilities.  

In this new environment, ‘completeness’ has become the central imperative – ensuring that surveillance coverage is comprehensive, that all data is accurate and accounted for, and that models are effective. This is not just an operational goal, but a core regulatory expectation, with significant enforcement exposure for firms that fail to keep pace.

This webinar will bring together industry experts to discuss the practical challenges and strategies for building an effective surveillance framework. The panellists will discuss what works in practice, from tackling data governance issues to harnessing the potential of AI and preparing for the operational realities of tomorrow's markets. 

Key Themes: 

• Achieving completeness - Best practices for ensuring end-to-end surveillance coverage and robust data governance to prevent gaps and reporting failures.  

• Lessons from enforcement - Analysing global enforcement actions involving data and surveillance gaps, and what they signal about evolving supervisory expectations. 

• AI in practice - How firms are using AI, NLP, and machine learning to enhance surveillance, focusing on the need for explainability and model risk governance.  

• New frontiers - Adapting surveillance frameworks to new markets like crypto derivatives, tokenised assets, carbon markets, prediction markets, and 24/7 trading venues. 

• Sustainable architecture - Strategies for validating model effectiveness and building a scalable surveillance architecture that can adapt to new risks.