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

A-Team Analysis: The Devil’s in the Detail for Derivatives Data

Subscribe to our newsletter

The obsession of the industry at large with over-the-counter (OTC) derivatives, in particular credit default swaps (CDSs) but also interest rate swaps and increasingly equity derivatives, is having an ever greater impact on the world of reference data.

The providers of data management systems report a growing demand from among their prospects and clients to demonstrate the capabilities of their systems in the derivatives sphere. The challenge firms face is that many of their existing core systems cannot compute the properties of complex instruments like structured products, and therefore they need their data management layers to be able to capture those trade details –

in many cases, alongside the data they are already managing to support other business lines such as equities – as a more robust alternative to the typical spreadsheet set-up in place in many middle offices currently. The onus is on the data management system vendors to ensure their products offer sufficient flexibility to accommodate complex and ever changing trade structures in rapid time-frames – and can take in details of those trades from a range of sources both external and internal “out of the box”.

With UCITS III among other factors opening up the use of derivatives for investment managers the needs of the buy side are coming more into play in the derivatives data discussion. As reported in the last issue of Reference Data Review, Standard & Poor’s is already investigating how to create packaged solutions of reference data that will be affordable to buy sides as their need to support derivatives activity grows. And speaking at the Osney Media “Optimising Derivatives Operations in Fund Management” conference earlier this month, Citisoft consultant Sean Sprackling warned his buy side audience that their greater use of derivatives would generate “very different data needs” from those they have had to handle historically. “You may need to implement different data solutions from the GoldenSource or Eagle Pace type systems you have in place today,” he said.
It is true that in many cases investment managers will have smaller budgets for data and IT than their sell side counterparts, but in the area of derivatives their needs are further complicated by the fact that from within a smaller operation they will typically be trading lower volumes of derivatives, but across a broader range of instruments – and this has implications for the value to them of some of the single instrument focused systems already in place to serve derivatives dealers. While a big sell side may not object to hooking up to multiple confirmation matching systems, for example, a buy side could find that prospect less appealing. As Markus von Crailsheim, of the OTC trade support department at Deutscher Investment Trust, said at the same conference: “We may get to use Swapswire or DTCC Deriv/SERV for free, but we still have to implement the systems within our workflows.”

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: Streamlining trading and investment processes with data standards and identifiers

3 June 2025 10:00am ET | 3:00pm London | 4:00pm CET Duration: 50 Minutes Financial institutions are integrating not only greater volumes of data for use across their organisation but also more varieties of data. As well, that data is being applied to more use cases than ever before, especially regulatory compliance and ESG integration....

BLOG

Challenges of the New Regulatory Landscape: Data Management Summit London Preview

The regulatory landscape for financial institutions has rarely been in greater flux than now, placing new challenges on the technology and data that will be critical to satisfying the requirements of overseers. While digital innovations are offering organisations the opportunity to meet their compliance obligations with greater accuracy and efficiency, they are also encouraging regulators...

EVENT

AI in Capital Markets Summit London

The AI in Capital Markets Summit will explore current and emerging trends in AI, the potential of Generative AI and LLMs and how AI can be applied for efficiencies and business value across a number of use cases, in the front and back office of financial institutions. The agenda will explore the risks and challenges of adopting AI and the foundational technologies and data management capabilities that underpin successful deployment.

GUIDE

AI in Capital Markets: Practical Insight for a Transforming Industry – Free Handbook

AI is no longer on the horizon – it’s embedded in the infrastructure of modern capital markets. But separating real impact from inflated promises requires a grounded, practical understanding. The AI in Capital Markets Handbook 2025 provides exactly that. Designed for data-driven professionals across the trade life-cycle, compliance, infrastructure, and strategy, this handbook goes beyond...