About a-team Marketing Services

A-Team Insight Blogs

Silverfinch Sets Up Wiki to Support Information Sharing on Solvency II Data Model

Subscribe to our newsletter

Silverfinch, a fund data utility designed to support asset managers and insurance firms in meeting the look-through requirements of Solvency II, has set up a Wiki page dedicated to helping industry participants resolve issues around the regulation before it takes effect in January 2016.

The company has loaded the Solvency II tripartite data exchange template, which was devised by the UK’s Investment Association, France’s Club Ampere and Germany’s BVI, onto the Wiki. The template is designed to help standardise the exchange of asset data between investment managers and insurers as required by the look-through element of Solvency II. Industry participants seeking more information or clarity on particular data points of the template can tag the data points and, hopefully, gather information from industry peers.

Silverfinch has also loaded its own proprietary data model, Runway to Regulation, onto the Wiki. Runway to Regulation expands the Solvency II tripartite data exchange template with additional data points and allows asset managers to take a consolidated data approach to additional regulations requiring portfolio reporting.

The Wiki was introduced less than a week ago and can be accessed at https://wiki.silverfinch.com. Users can sign on using their LinkedIn credentials or by requesting a logon from wiki@silverfinch.com. The Wiki is free to use and is moderated by Silverfinch. Participants are expected to come from across the industry and are asked to identify themselves. To date, tens of financial institutions have engaged on the Wiki and it is hoped that it will encourage peer-to-peer understanding of Solvency II and help to remove misunderstanding around the regulation.

John Dowdall, managing director of Silverfinch, explains: “We have been inundated with questions about the tripartite data exchange template as there are different interpretations of data points and some areas of ambiguity. We collected the questions internally and thought about creating an FAQ, but decided that this needs something more dynamic and the involvement of as many practitioners as possible, so we set up the Wiki.”

As a member of the MoneyMate Group, which recently rebranded its Fund ProductMaster managed data service to Accudelta, Silverfinch will use its Runway to Regulation data model for reporting using standard regulatory data formats, and bring in Accudelta when data must be aggregated or manipulated before being input to the data model or after it is output from the model and used for reporting.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: How to simplify and modernize data architecture to unleash data value and innovation

The data needs of financial institutions are growing at pace as new formats and greater volumes of information are integrated into their systems. With this has come greater complexity in managing and governing that data, amplifying pain points along data pipelines. In response, innovative new streamlined and flexible architectures have emerged that can absorb and...

BLOG

From AI Sprint to AI Live Testing – FCA Leads the Way

The UK Financial Conduct Authority (FCA) recently published its Proposal For AI Live Testing engagement paper outlining a 12-month pilot inside the regulator’s AI Lab. This is designed to enable firms with production-ready AI models to trial them in controlled live-market conditions, under close FCA technical and supervisory support, exploring output-driven validation, model-risk safeguards and...

EVENT

AI in Capital Markets Summit London

The AI in Capital Markets Summit will explore current and emerging trends in AI, the potential of Generative AI and LLMs and how AI can be applied for efficiencies and business value across a number of use cases, in the front and back office of financial institutions. The agenda will explore the risks and challenges of adopting AI and the foundational technologies and data management capabilities that underpin successful deployment.

GUIDE

AI in Capital Markets: Practical Insight for a Transforming Industry – Free Handbook

AI is no longer on the horizon – it’s embedded in the infrastructure of modern capital markets. But separating real impact from inflated promises requires a grounded, practical understanding. The AI in Capital Markets Handbook 2025 provides exactly that. Designed for data-driven professionals across the trade life-cycle, compliance, infrastructure, and strategy, this handbook goes beyond...