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

A-Team Insight Podcasts

How to Source and Manage Data for FRTB – The Challenges and Opportunities

Subscribe to our newsletter

Sourcing and managing data for Fundamental Review of the Trading Book (FRTB) compliance is no mean feat, but there are options and choices to be made as firms within the scope of the regulation build out compliance programmes ahead of its January 2022 deadline.

A panel session at A-Team Group’s recent FRTB briefing in London discussed these options and choices, focusing on the requirements of the Internal Model Approach (IMA) and the Standardised Approach (SA) and discussing their differing data demands, what each model means for capital requirements, and the impact it could make on products and trading desks. Diving into the detail of the models, particularly the IMA, the panel considered how to source all the internal and external data required for compliance, such as historical time series data for price observation associated with non-modellable risk factors (NMRFs), and high quality reference data for instrument classifications and market data to enrich trade data sets.

While FRTB compliance was described by one panellist as a ‘massive data management exercise’, the conversation also turned to the potential benefits of compliance, with another noting ‘If you are a large bank, the IMA is a huge data management burden, but the ability to normalise and link data together will extend way beyond FRTB compliance’.

Listen to our podcast on sourcing and managing data for FRTB to hear the complete conversation.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: The Role of Data Fabric and Data Mesh in Modern Trading Infrastructures

The demands on trading infrastructure are intensifying. Increasing data volumes, the necessity for real-time processing, and stringent regulatory requirements are exposing the limitations of legacy data architectures. In response, firms are re-evaluating their data strategies to improve agility, scalability, and governance. Two architectural models central to this conversation are Data Fabric and Data Mesh. This...

BLOG

SOLVE Expands AI-Powered Municipal Bond Pricing Tool with Relative Value Analysis Feature

SOLVE, the provider of pre-trade data and predictive pricing for fixed income markets, has introduced a new Relative Value Analysis capability to its AI-driven municipal bond pricing platform, SOLVE Px. The enhancement is aimed at improving transparency and decision-making for municipal bond traders, portfolio managers, and risk teams. The newly released feature allows users to...

EVENT

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

Now in its 8th 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

Regulatory Data Handbook 2025 – Thirteenth Edition

Welcome to the thirteenth edition of A-Team Group’s Regulatory Data Handbook, a unique and practical guide to capital markets regulation, regulatory change, and the data and data management requirements of compliance across Europe, the UK, US and Asia-Pacific. This year’s edition lands at a moment of accelerating regulatory divergence and intensifying data focused supervision. Inside,...