FRTB data challenges need to be better understood by risk and finance departments and by the FRTB project teams working for them. Hear from our own Charlie Browne about how to prepare for the FRTB internal models approach (IMA), and the challenges in risk factor modellability and time series data that will prompt change.
These days, market data management demands speed and scalability. For FRTB, data quality at volume is the only way to go. Whether you’re handling exceptions, analyzing curves or comparing time series, you need a system that makes it easy to get the right data for your risk calculations, first time, every time.
A few years back, some of our clients came to us looking to manage, value, and store Over-the-Counter (OTC) Derivatives. So we heard them out, and built out models for those structured products to keep up with the industry’s business objectives and regulatory challenges.
In this short video Neill Vanlint, Global Head of Sales & Client Operations, talks about how we got here, what’s driving the change, and the regulatory impact – specifically around MiFID II.
Data management in the cloud isn’t new, but if it’s new to you, this video will help. The question we get asked most by firms considering migrating their data management capabilities to the cloud is, “How?” So, here’s how. Here’s the process we’ll lead you through to ensure your data management solution is up and running in the cloud and fully integrated with all your systems.
Data lineage is a phrase that’s used often, but the words only convey the concept. What capabilities are people most often referring to when they say, “Data lineage”, and what are the day-to-day operational uses for such a capability?
Hear from Amy Anderson, Head of Professional Services, Americas, at GoldenSource, some examples of data lineage in the GoldenSource EDM platform and the ways it supports effective data operations.
Banks will not only need to run the FRTB calculations, they’ll need to show that they did so with the right data in a way that conforms to the FRTB specifications. This will require complete, accurate and validated market and risk data coupled with auditable processes. The industry is comfortable with the calculations, it’s their data management capabilities that will determine success with FRTB.
Hear from Charlie Browne, Head of Market Data & Risk Solutions at GoldenSource, how a data driven, bottom up approach is key for FRTB preparations.
Buy side firms are seeking ways to respond to the data management burden placed on them by new regulations. In a recent FIMA report, MiFID II featured as the regulation receiving more attention from firms than any other.
What elements of MiFID II will impact data management? What fundamental decisions will firms need to take regarding their operating model? How sustainable are existing capabilities?
Hear from Haider Mannan, Head of Buy Side EMEA at GoldenSource, on the challenges facing buy side firms.
Data utilities are a hot and divisive topic, with adoption levels at only 1% of the industry, according to a recent FIMA report.
Why haven’t they been adopted? What would make them more appealing to financial services firms?
Hear from Prashant Kumar, SVP Business Development for GoldenSource, what might make the difference.
Since the financial crisis, we’ve seen a growth in regulatory compliance and reporting for both the buy and the sell side. The data management response to regulation is often to break it up into teams that drill back from the actual requirement into the implications on their operation, but because these teams are distinct, it tends to lead to siloed solutions.
Hear from Neill Vanlint, MD Global Head of Sales and Client Operations at GoldenSource on how to avoid digging up the same regulatory road up multiple times on the route to regulatory compliance.
The lack of data management integration between risk and finance has caused market data discrepancies that not only require significant reconciliation efforts, but also create difficulties in cross reporting.
Hear from Tom Stock, SVP Product Management at GoldenSource, how more and more firms are looking towards rationalizing their data management systems and processes to harmonise data used across multiple domains and to avoid having to bring in that data and validate it multiple times.
In order to have the right data, any capital firm will need data feeds from multiple vendors. According to a recent FIMA report 28% of capital markets businesses expect the number and complexity of new data feeds to challenge the scalability and flexibility of their systems within the next 2 years.
Hear from Stuart Smith, VP Client Operations EMEA & APAC at GoldenSource, who discusses the key to managing the end to end data processes that support the main drivers of data growth identified in the FIMA report, namely complying with regulations (35%) and taking on new areas of business (27%).
Over the last few years, many capital markets firms have matured to an enterprise-wide data management approach. In 2016, for the first time, a majority of capital market firms, 54%, said they have such an approach in place, according to a recent FIMA report.
Hear from John H. Eley, CEO at GoldenSource, what’s driving this maturity and what the next level of evolution might be.
Cloud services for data management are being widely adopted now that historical challenges and concerns about security, extensibility and data centre locations have been addressed. How far has GoldenSource OnDemand come in recent times? What changes in the industry are prompting firms to consider cloud services? And what’s in it for smaller capital markets participants?
Hear from Jon Hallam, VP OnDemand Services at GoldenSource, the journey that GoldenSource is taking with its clients.