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

Centralised Data Management Key to AI Success: Webinar Review

The absence of a centralised data management strategy for artificial intelligence is the biggest hurdle to integrating data from different sources for use with the technology. That was the finding of a survey of capital markets participants at a recent A-Team LIVE webinar “How to Organise, Integrate, and Structure Data for Successful AI”. While expert...

EVENT

TEST Event page 2

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

Regulatory Data Handbook – Fifth Edition

In response to the popularity of the A-Team Regulatory Data Handbook, we have published a fifth edition outlining the essentials of regulations that are likely to have an impact on data and data management at your organisation. New to this edition is a section on RegTech, covering drivers behind the development of innovative regulatory technology,...