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

Andrew’s Blog – Risk Architectures R Us

Subscribe to our newsletter

For those of you who missed last month’s seminar in London on approaches to risk data, fret no more: We will be continuing the debate next Thursday in a webinar with our friends from Lloyds Bank, Sybase and Fidessa; sign up here, it’s free, and it’ll also give you a flavour of what we have lined up at our May 22 Data Management Summit.

As you may recall, the seminar – attended by a group of risk architects from some of the City’s major institutions – looked at how the business and regulatory imperatives driving risk management requirements are impacting how firms approach the way they collect, aggregate and present risk information. These were some of the themes from A-Team’s recent research and published in our paper, ‘Managing Risk Data in the Siloed Enterprise’.

I’ll be presenting the key findings of that paper at the webinar. Then we’ll get into a wider debate, with the practitioners’ view coming from Graham Smith, who as Lead Enterprise Architect at Lloyds TSB Bank knows a thing or two about the issues in question. We’ll also take a look at front office requirements, with help from Ana Herrero-Wallace, Head of Fidessa’s new Transaction Cost Analysis initiative.

All this risk infrastructure activity reflects the clear message we are receiving from the marketplace about the lack of established best practices in this area. The legacy of 20 years of market and credit risk systems organised by line of business has left a siloed landscape of individual data repositories that find it difficult to speak to one another, are difficult to extract useful data from, and operate to their own timescales.

And it’s this situation that today’s data managers and, increasingly, risk architects are being tasked to address, in order to meet regulatory demands for transparency, and business demands for useful business intelligence.

So, if this resonates, join us next Thursday for the Sybase-hosted webinar, download the paper, and sign up to come along to our Data Management Summit on May 22 to learn about:

  • Key regulatory and business drivers
  • Organisational hurdles to achieving holistic risk management and analytics
  • Proven technology approaches to shifting risk and analytics to the on-demand, enterprise imperative
  • The role of governance and organisational approach to securing project funding

To register for the webinar, click here.

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

Leaving Money on the Table: Busting the Myths of North American Securities Class Action Claims for European Investors

North American securities class actions, particularly within the United States, represent one of the most developed frameworks globally for shareholder redress. Operating on an opt-out basis, this passive participation model automatically includes eligible investors, including those based in Europe, allowing them to obtain compensation without initiating litigation. Despite the fact that billions of dollars are...

EVENT

RegTech Summit London

Now in its 9th year, the RegTech Summit in London will bring together the RegTech ecosystem to explore how the European capital markets financial industry can leverage technology to drive innovation, cut costs and support regulatory change.

GUIDE

The Reference Data Utility Handbook

The potential of a reference data utility model has been discussed for many years, and while early implementations failed to gain traction, the model has now come of age as financial institutions look for new data management models that can solve the challenges of operational cost reduction, improved data quality and regulatory compliance. The multi-tenanted...