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: Best practice approaches to data management for regulatory reporting

Effective regulatory reporting requires firms to manage vast amounts of data across multiple systems, regions, and regulatory jurisdictions. With increasing scrutiny from regulators and the rising complexity of financial instruments, the need for a streamlined and strategic approach to data management has never been greater. Financial institutions must ensure accuracy, consistency, and timeliness in their...

BLOG

GenAI in Compliance, Buy vs. Build: Interview with Saifr CEO Vall Herard

The Saifr sponsored whitepaper – From Caution to Action: How Advisory Firms are Integrating AI in Compliance – published in November, explored a number of key themes surrounding the adoption of generative AI (GenAI) enabled technologies for compliance by advisors and wealth management companies. One theme examined survey participants attitudes regarding vender supplied versus in-house built...

EVENT

Data Management Summit New York City

Now in its 15th year the Data Management Summit NYC brings together the North American data management community to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

GUIDE

AI in Capital Markets: Practical Insight for a Transforming Industry – Free Handbook

AI is no longer on the horizon – it’s embedded in the infrastructure of modern capital markets. But separating real impact from inflated promises requires a grounded, practical understanding. The AI in Capital Markets Handbook 2025 provides exactly that. Designed for data-driven professionals across the trade life-cycle, compliance, infrastructure, and strategy, this handbook goes beyond...