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: Streamlining trading and investment processes with data standards and identifiers

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. Due to this increased complexity of institutions’ data needs, however, information often arrives into...

BLOG

AI is Helping to Solve New ESG Data Challenges: ESG Briefing Review

The peculiar demands that ESG data integration places on capital markets participants requires powerful techniques that are increasingly being provided through artificial intelligence, A-Team Group’s recent ESG Data and Tech Briefing London heard. From data quality monitoring and analytics to supply chain analysis and investment management, AI-based tools are already offering automated solutions to some...

EVENT

Buy AND Build: The Future of Capital Markets Technology

Buy AND Build: The Future of Capital Markets Technology London 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

Regulatory Data Handbook 2025 – Thirteenth Edition

Welcome to the thirteenth edition of A-Team Group’s Regulatory Data Handbook, a unique and practical guide to capital markets regulation, regulatory change, and the data and data management requirements of compliance across Europe, the UK, US and Asia-Pacific. This year’s edition lands at a moment of accelerating regulatory divergence and intensifying data focused supervision. Inside,...