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

A-Team Insight Blogs

Asset Control Extends AC Risk Data Manager to Support FRTB

Subscribe to our newsletter

Asset Control has made an early start to developing a solution for Fundamental Review of the Trading Book (FRTB) regulation that is due to take effect in January 2019. The solution builds on the AC Risk Data Manager software introduced by the company a year ago and focuses on market data management requirements required by the Basel Committee regulation.

To meet FRTB requirements, the company has extended the AC Risk Data Manager data model to manage FRTB market data and calculations, and added a new user interface for business rules that can be set by users for functions such as stress testing. An early release of the software is on beta test with a handful of Asset Control clients, ahead of market availability in the third quarter of this year.

Martijn Groot, vice president of product management at Asset Control, explains: “Since the final text of FRTB was published in January 2016, the regulation has become an agenda item for sell-side firms. We started a requirements phase with some of our clients late last year. We already had independent pricing functionality, but have built out the AC Risk Data Manager data model and added business rules to meet FRTB requirements such as configuring and monitoring proxy rules, screening and completing time series histories, and managing stress scenarios.”

As well as providing a solution for FRTB, Asset Control expects the extended AC Risk Data Manager to play into the market data management and price requirements of Markets in Financial Instruments Directive II (MiFID II) and any other forthcoming regulations that include market data integration and calculation.

Considering the scale of FRTB, Groot warns: “It is critical that institutions start assessing what process and system changes are needed in order to address FRTB today. A structured market data management process is required, from efficient sourcing and integration, to risk factor mapping, proxy rule management and the tracking of quality metrics.”

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: Building and Scaling Data Products and Marketplaces to Deliver ROI

Date: 10 December 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Financial institutions hold some of the richest data in any industry, but much of it is hard to find, hard to trust and slow to reach the teams that need it. As they scale their AI and analytics programmes,...

BLOG

Solidatus Updates AI to Give Agentic Boost to Workflow Speed and Scale

Data lineage and governance specialist Solidatus has expanded its AI capabilities in a new release that introduces enhanced AI Assistant functionality, bring-your-own-LLM support and new integrations designed to help organisations accelerate governance and data lineage workflows. In the summer, the company upgraded its service offerings with update 2026.3 the contains a set of capabilities that...

EVENT

ExchangeTech Summit London

A-Team Group, organisers of the TradingTech Summits, are pleased to announce that the second ExchangeTech Summit London will take place in May 2027. This dedicated forum brings together operators of exchanges, alternative execution venues and digital asset platforms with the ecosystem of vendors driving the future of matching engines, surveillance and market access.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...