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

A-Team Insight Blogs

Markit Mixes Old and New to Deliver FRTB Compliance Solution

Subscribe to our newsletter

Markit is pulling together existing products and new developments to deliver a compliance solution for the market risk capital requirements of the Fundamental Review of the Trading Book (FRTB), which comes into force in 2019.

The solution is based on a modular platform, allowing banks to supplement existing infrastructure and processes as needed, and is designed to enable banks to model and manage market data and risk factors, generate scenarios, and perform capital calculations in line with the regulatory framework.

The platform includes four integrated modules of which two are existing products and two are new developments. The existing products are Markit Analytics Risk Engine, an evolution of Markit Analytics that provides market risk calculation and a stress testing framework, and Markit FRTB Data Service, which includes transaction and historical pricing datasets from MarkitServ and will be used to supplement bank data to meet modellability requirements.

The new elements of the solution are Markit Risk Factor Utility, a software-as-a-service offer for managing and deriving risk factors and generating scenarios for backtesting, profit and loss attribution, and expected shortfall, and Markit FRTB Studio, a lightweight, interactive and intraday aggregation capability that will provide a consistent view of trading book risk and capital measures to support business decisions.

Yaacov Mutnikas, managing director and cohead of Solutions at Markit, explains: “FRTB will potentially have a dramatic impact on banks’ trading operations. Most banks will be challenged to produce the datasets necessary to demonstrate modellability and to manage and validate proxy decisions under new Non Modellable Risk Factor (NMRF) guidelines. Markit’s solution leverages our core strengths across capital modelling, transaction processing and data aggregation to help solve these issues. Recent Markit research on the impact of improved data on capital and NMRFs suggests our aggregated transaction data can result in a 40% reduction in capital requirements compared to banks using only their own data.”

The Markit FRTB solution will be hosted with options to deploy the Analytics Risk Engine and FRTB Studio within a client’s infrastructure. Markit expects to engage development customers in the third or fourth quarter of this year, fitting in with Tier 1 banks that are likely to make decision on FRTB strategies and solutions over the next few months.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Sponsored by FundGuard: NAV Resilience Under DORA, A Year of Lessons Learned

The EU’s Digital Operational Resilience Act (DORA) came into force a year ago, and is reshaping how asset managers, asset owners and fund service providers think about operational risk. While DORA’s focus is squarely on ICT resilience and third-party dependencies, its implications extend deep into core operational processes that are critical to market integrity, investor...

BLOG

Regnology Extends Balance Sheet-Centric Reporting Model with Wolters Kluwer FRR Acquisition

On 1 December 2025, Regnology completed the acquisition of Wolters Kluwer’s Finance, Risk & Regulatory Reporting (FRR) unit; the deal was announced earlier in July. The company describes the combination as unifying its cloud-first regulatory reporting platform with FRR’s finance and risk capabilities, while extending its reach in key markets – APAC in particular. RegTech...

EVENT

Eagle Alpha Alternative Data Conference, Spring, New York, hosted by A-Team Group

Now in its 9th year, the Eagle Alpha Alternative Data Conference managed by A-Team Group, is the premier content forum and networking event for investment firms and hedge funds.

GUIDE

Entity Data Management Handbook – Seventh Edition

Sourcing entity data and ensuring efficient and effective entity data management is a challenge for many financial institutions as volumes of data rise, more regulations require entity data in reporting, and the fight again financial crime is escalated by bad actors using increasingly sophisticated techniques to attack processes and systems. That said, based on best...