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

Financial Machineries and Iason Develop Anonymous Benchmarking Service for FRTB

Subscribe to our newsletter

Financial Machineries is collaborating with Italian risk management consultancy Iason to deliver a service that will help banks prove they have enough data to use an internal model for market risk capital calculations required by Fundamental Review of the Trading Book (FRTB) regulation. Banks that cannot prove they have enough data to use an internal model must use the FRTB standard model, which brings with it punitive capital requirements.

The companies’ Secure Benchmarking Service (SBS) is a vendor neutral, hosted utility based on technology similar to blockchain and cryptography. It provides anonymised regulatory modelling, allowing banks and other independent data sources to aggregate OTC illiquid prices, contributions and traded and transacted datasets, and observe market risk regulatory capital rules that are modelled in line with those of FRTB.

The service is based on Financial Machineries’ contributed data and analytics expertise that is manifest in its Global Trade Repository Analytics service, and Iason’s specialism in EU stress test requirements and FRTB methodologies. Iason is defining the methodology for the utility, which will be marketed by Financial Machineries.

Antonio Castagna, CEO of Iason, says: “The consequences of FRTB will be that every firm will have to source greater levels of data with more granularity. By using SBS, each bank can be reassured that its trade data remains anonymous through the utility calculation process and is not able to be reengineered. Also, each bank will have full control of the resultant market data.”

Sheena Clark, founder of Financial Machineries, adds: “Data is fundamentally important to banks, they don’t want other banks to see it as they could reengineer positions and see volumes of trading parties.”

Explaining the technology underpinning the SBS, Castagna says: “Iason has harnessed a technology that was initially created in the 1980s, although not used in financial markets. It is cryptographic technology, similar to blockchain but not identical, that allows contributors to contribute data to a database, the results of which are not easily reengineered back to their original source. The contributors can see the end results, but not the original data. Not a single transaction or entity are identifiable from the database results. All results are anonymous and secret.”

Clark says the SBS utility’s vendor neutral quality differentiates it from other FRTB solutions in the market. The company is running a proof of concept of the service, talking to Tier 1 and Tier 2 banks in the UK about using it, and planning to have it in production by the second quarter of this year, in time for testing in the run up to FRTB compliance in January 2019.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: GenAI and LLM case studies for Surveillance, Screening and Scanning

As Generative AI (GenAI) and Large Language Models (LLMs) move from pilot to production, compliance, surveillance, and screening functions are seeing tangible results – and new risks. From trade surveillance to adverse media screening to policy and regulatory scanning, GenAI and LLMs promise to tackle complexity and volume at a scale never seen before. But...

BLOG

FpML to DRR: TradeHeader’s Journey to the Heart of Regulatory Data Standards

Digital Regulatory Reporting (DRR) has gained momentum as the industry looks to replace fragmented, firm-specific interpretations of reporting rules with a shared, machine-executable model that consistently links regulatory requirements to the data used to fulfil them. Rather than relying on templates, local mappings and bespoke logic embedded deep within legacy systems, DRR provides a common...

EVENT

Data Management Summit London

Now in its 16th year, the Data Management Summit (DMS) in London brings together the European capital markets enterprise data management community, to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

GUIDE

Data Lineage Handbook

Data lineage has become a critical concern for data managers in capital markets as it is key to both regulatory compliance and business opportunity. The regulatory requirement for data lineage kicked in with BCBS 239 in 2016 and has since been extended to many other regulations that oblige firms to provide transparency and a data...