About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Guilty Until Proven Innocent: The Data Quality Imperative Underlying Recent Risk Management and Regulatory Requirements

Subscribe to our newsletter

There seems to be a recurring refrain within a whole host of recent regulatory papers, including the MiFID Review, UCITS IV, Basel III, Solvency II or any number of UK Financial Services Authority (FSA) papers: references to accuracy, consistency, timeliness, reliability and completeness of data are present in all of them.

Reference Data Review speaks with Irving Henry, policy director for prudential, capital and risk at the British Bankers’ Association (BBA) and Colin Rickard, business development director for Europe at DataFlux, about the data quality aspects underlying these developments.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: GenAI and LLM case studies for Surveillance, Screening and Scanning

As Generative AI (GenAI) and Large Language Models (LLMs) move from pilot to production, compliance, surveillance, and screening functions are seeing tangible results – and new risks. From trade surveillance to adverse media screening to policy and regulatory scanning, GenAI and LLMs promise to tackle complexity and volume at a scale never seen before. But...

BLOG

New White Paper: AI and the Operational Reality of e-Comms Surveillance

The rapid expansion of electronic communications channels has fundamentally reshaped how financial firms interact with clients, counterparties and markets. Email and Bloomberg messaging have been joined by collaboration tools, instant messaging platforms, voice calls and video meetings, all of which now sit squarely within the scope of regulatory scrutiny. For compliance teams, this proliferation has...

EVENT

AI in Capital Markets Summit London

Now in its 3rd year, the AI in Capital Markets Summit returns with a focus on the practicalities of onboarding AI enterprise wide for business value creation. Whilst AI offers huge potential to revolutionise capital markets operations many are struggling to move beyond pilot phase to generate substantial value from AI.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...