About a-team Marketing Services
The knowledge platform for the financial technology industry

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

Upcoming Webinar: Generative and Agentic AI in Financial Markets: What the Data Really Shows

Date: 15 October 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Artificial intelligence is reshaping financial markets – but the reality on the ground is more nuanced, more uneven, and more instructive than the headlines suggest. A new A-Team Insight research programme, drawing on responses from senior AI decision-makers at...

BLOG

Regnology Moves from Platform Integration to Agentic Reporting

Regnology is moving into the next phase of its expansion, applying agentic artificial intelligence to the regulatory reporting, risk and finance capabilities assembled through its recent acquisitions. When RegTech Insight last spoke with chief executive Rob Mackay in early 2026, the company was integrating Wolters Kluwer’s Financial Risk and Reporting business and regulatory-reporting assets acquired...

EVENT

RegTech Summit London

Now in its 10th year, RegTech Summit London will bring together the RegTech ecosystem to explore how the European capital markets financial industry can leverage technology to innovate the compliance function and response.

GUIDE

Regulatory Data Handbook 2026 – Fourteenth Edition

Welcome to the fourteenth edition of A-Team Group’s Regulatory Data Handbook. Supervisors increasingly expect firms to demonstrate which rules apply, which data supports each obligation, who owns the control and how exceptions are identified and resolved. Policies and implementation programmes must now be supported by records that can withstand regulatory scrutiny. This edition examines material...