As regulatory pressures mount, Jon Hallam of GoldenSource explains why removing the burden of data management from the shoulders of fund managers can help deliver absolute returns for investors. From investors wanting more bang for their buck to increasing regulatory reporting requirements, it’s fair to say that asset managers have had a fair bit to […]
As the European Commission finally confirms an implementation date for MiFID II, Volker Lainer of GoldenSource explains why now is the time for financial institutions adopting a quick fix approach to regulation to reconsider. After waiting and wondering, financial institutions finally have a firm date of January 3rd 2018 for MiFID II compliance. Whether this […]
It seems that at each Sibos, certainly since the financial crisis of 2008, a regulatory deadline is looming large. This year’s model is the Basel Committee on Banking Supervision’s (BCBS’) 11 principles for effective risk data aggregation and risk reporting (BCBS 239), with which globally systemically important banks (GSIBs) must comply by 1 January 2016. However, a report on the progress of adoption reveals a lack of preparedness.
January’s Basel Committee on Banking Supervision report on banks’ progress towards BCBS 239 compliance threw up a telling contradiction. While global systemically important banks “are increasingly aware of the importance” of the BCBS 239 project, their sense of preparedness has decreased. In 2013, 10 of the 31 eligible banks reported they would be unable to comply fully by the 2016 deadline. This year, that number rose to 14. It is understandable that there is more work to be done, but how is it that the G-SIBs are moving backwards?
In the ongoing discussion about the need to use data to increase business value, it is imperative to substantiate the argument with practical, real-world use cases. Otherwise, the debate becomes just another line of marketing waffle around big data – an area already suffering from too much hype.
Regulatory mandates call for the financial services industry to collaborate and rethink its data supply chain to tackle systemic risk and improve transparency. Looking at how the retail industry manages its supply chain could hold the key.
Depending on who you speak to, the definition of a data scientist seems to mean different things to different people. Some see it as a glorified number crunching role, others believe the position requires someone more inquisitive to spot and respond to key trends.
In a post-2008 crisis landscape dominated by regulatory reform, compliance is only part of the issue. If firms can address how they manage multiple data sets and deploy a truly enterprise-wide model, they can capitalise on the real opportunity – achieving a competitive advantage.
Mike Meriton, long-term chief executive at enterprise data management specialist GoldenSource, has stepped aside to make way for a new occupant of the post, John Eley.
Wrapping up all of the reference data a large global bank needs and making sure it is standardised, automated and ready for the regulator is a big task. Japanese bank Mizuho International has just installed an EDM service from vendor Golden Source, which it says will help to support trading and satisfy the regulator.
