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: Enhancing trader efficiency with interoperability – Innovative solutions for automated and streamlined trader desktop and workflows

Traders today are expected to navigate increasingly complex markets using workflows that often lag behind the pace of change. Disconnected systems, manual processes, and fragmented user experiences create hidden inefficiencies that directly impact performance and risk management. Firms that can streamline and modernise the trader desktop are gaining a tangible edge – both in speed...

BLOG

Introducing RegPass: A New Agentic Paradigm for Regulatory Change Management

After more than a decade shaped by document aggregation, workflow portals, and rule-mapping engines, a third generation of regulatory intelligence platforms is beginning to emerge. These systems move beyond collecting and classifying regulatory updates. Instead, they attempt something more ambitious: to understand, model and reason about a firm’s actual business operations, and to connect regulatory...

EVENT

AI in Data Management Summit New York City

Following the success of the 15th Data Management Summit NYC, A-Team Group are excited to announce our new event: AI in Data Management Summit NYC!

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,...