Surveillance has increasingly been in the regulatory spotlight as a result of high-profile enforcement actions. Firms face a multitude of challenges relating to the differing data standards across trade and communications surveillance, which creates inconsistencies across the industry of ensuring effective surveillance. Firms also experience difficulties in collecting complete and timely data across trade and communications surveillance. Without complete, accurate and timely data, firms are unable to run an effective surveillance control, which limits their ability to detect forms of market abuse.

This paper outlines key considerations for how firms can improve their data quality, data ownership and data governance standards, as well as highlighting the critical data elements required to detect behaviours and as a result develop robust data governance frameworks.

This paper provides a set of best practice approaches for managing surveillance data to help drive better quality standards across the industry and increase the effectiveness of surveillance processes.