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

Case Study: Leveraging Data for Operational Risk Monitoring

Subscribe to our newsletter

Given the rise of high profile incidents related to rogue trading, a major US bank has worked with business and technology consultant Detica to pull together its data to monitor operational risk across a number of controls in order to provide an effective tool to combating these incidents. Through the process, however, other business benefits emerged, said Roger Braybrooks, head of research for global financial markets at Detica.

Rogue trading, such as the recent Casiss d’Epargne equities derivatives issue, or Jerome Kierval at Societe Generale, is generally facilitated by control failures, but no two failures are the same, said Braybrooks. “When you’re not looking at it from a holistic point of view, you won’t catch it.”

He cited a recent statement from the FSA suggesting the need for a series of yellow flags to be applied within areas of concern, which could then be aggregated to produce a red flag on control concerns across those areas. This is essentially the approach Detica has taken with its networked operational risk model.

The first step with its pilot client was to clearly identify the controls that needed to be monitored based on a defined risk model. From there, data was contributed to a shared file by various groups across the organisation, such as credit risk, market risk, compliance, finance, settlements, operations and others. Braybrooks acknowledges that getting the participation across these business units was challenging, which is why sponsorship from the top of the organisation is necessary to drive through this kind of project.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Unpacking Stablecoin Challenges for Financial Institutions

The stablecoin market is experiencing unprecedented growth, driven by emerging regulatory clarity, technological maturity, and rising global demand for a faster, more secure financial infrastructure. But with opportunity comes complexity, and a host of challenges that financial institutions need to address before they can unlock the promise of a more streamlined financial transaction ecosystem. These...

BLOG

Leaders Scrutinise a Changing Industry at A-Team Group’s Annual Data Management Summit New York City

Experts and executives from across the financial data ecosystem gathered at A-Team Group’s Data Management Summit New York 2025 last week to discuss and probe the latest innovations, trends and strategies in our fast-moving industry. From data quality and artificial intelligence agents to modern data architectures and data products, a multitude of current topics were...

EVENT

AI in Data Management Summit New York City

Following the success of the 15th Data Management Summit NYC, A-Team Group are excited to announce our new event: AI in Data Management Summit NYC!

GUIDE

Entity Data Management

Entity data management has historically been a rather overlooked area of the reference data landscape, but with the increase focus on managing risk, the industry is finally taking notice. It is now generally agreed to be critical to every financial institution; although the rewards for investment in entity data management appear to be rather small,...