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: End-to-End Lineage for Financial Services: The Missing Link for Both Compliance and AI Readiness

The importance of complete robust end-to-end data lineage in financial services and capital markets cannot be overstated. Without the ability to trace and verify data across its lifecycle, many critical workflows – from trade reconciliation to risk management – cannot be executed effectively. At the top of the list is regulatory compliance. Regulators demand a...

BLOG

Hidden Dangers in the Race to ‘AI-Readiness’

The data ecosystem has been awash with references to “artificial intelligence readiness” in the past few months, a reflection of the importance being placed on the technology within capital and private markets. The term is generally used in calls for institutions to upgrade their data management systems to ensure their data is of good enough...

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 Handbook – Fifth Edition

Welcome to the fifth edition of A-Team Group’s Entity Data Management Handbook, sponsored for the fourth year running by entity data specialist Bureau van Dijk, a Moody’s Analytics Company. The past year has seen a crackdown on corporate responsibility for financial crime – with financial firms facing draconian fines for non-compliance and the very real...