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

HSBC’s Johnson Highlights the Deep Data Content Requirements of Solvency II

Subscribe to our newsletter

Although Solvency II may at first appear to be an insurance only focused regulation, the asset management and asset servicing communities are having to prepare for some fairly onerous deep data requirements coming their way by way of their insurance clients, warned Chris Johnson, head of product management for market data services at HSBC Securities Services, at this month’s FIMA conference in London.

The significant and prescriptive requirements across many types of reference data in support of Solvency II quantitative regulatory reporting and models has resulted in key data content challenges, he explained.

The asset management arms of various insurance firms, and their third party administrators, may have made preparations individually on the subject, but the wider need for consistent data reporting standards needs urgent consideration also compounded by the likelihood that the data requirements of Solvency II are likely to have “strong crossover with other regulations, noted Johnson. Overall, regulatory requirements are increasing across the board and this will “necessitate cross-firm consistency of data, raised quality levels and industrial scale regulatory reporting,” he said.

Looking at Solvency II in particular, monthly, quarterly, and in some cases ad hoc, quantitative reporting template (QRT) reporting requires a consistent data source, including, to an extent, the entity identification data management challenge, he noted. Although work is going on to establish a new legal entity identification (LEI) standard, such a standard is also unlikely to be in place in the required areas before firms need to begin reporting to EIOPA for Solvency II.

Johnson also pointed to the lack of a consistent industry standard instrument classification source, such as a numbering agency, as needed for the Solvency II Complementary Identification Code (CIC), as another key challenge for firms aiming to produce draft regulatory reports during 2012 as preparation to comply with the reporting deadline of January 2014.

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

The Year in Data: Agentic AI Points to a Future of Efficiency

Touted as the next frontier of artificial intelligence, agentic AI hogged the data management headlines in 2025. Seemingly ushering the realisation of the no-more-drudge-work predictions that heralded the arrival of general AI years back, agentic AI has certainly become the target of institutional investment and developer innovation in the past 12 months. According to a...

EVENT

TEST Event page 1

Now in its 15th year the TradingTech Summit London brings together the European trading technology capital markets industry and examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.

GUIDE

Enterprise Data Management, 2010 Edition

The global regulatory community has become increasingly aware of the data management challenge within financial institutions, as it struggles with its own challenge of better tracking systemic risk across financial markets. The US regulator in particular is seemingly keen to kick off a standardisation process and also wants the regulatory community to begin collecting additional...