About a-team Marketing Services
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: Executing the Migration to Cloud to Enable Scalability and Innovation

Cloud-based services and processing have become essential to financial institutions as their data management demands have become more complex and expansive. Thousands of organisations have made the jump from their limited on-premises tech stacks to the near-infinite scalability opportunities of public and private clouds. They have also been motivated by the need to modernise their...

BLOG

Confluence Launches POINT with AI Validation for Regulatory Reporting

Confluence Technologies has launched Confluence POINT, starting with AI-enabled document validation and a conversational interface for its Revolution analytics platform. Confluence says both capabilities are available immediately. POINT Validation checks financial and regulatory documents across multiple formats, including unstructured data. Its automated checklist completes validation in minutes, flags errors for review and records an audit...

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 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...