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

OpenGamma Includes Redis In-Memory Technology in Margining Platform

Subscribe to our newsletter

OpenGamma has the Redis in-memory data management technology with its own analytics and risk engine to create a margining platform offering. The new platform is designed to support fast and precise calculations, allowing clearing members to meet the initial margin calculation requirements of central counterparties on OTC swap transactions.

OpenGamma developed the new margining platform in response to structural changes in the OTC derivatives market, including the mandate that all transactions must be centrally cleared rather than settled bilaterally, a change that results in the requirement for initial margin to be posted on all transactions.

The platform combines the real-time risk engine of the open-source OpenGamma Platform with the Redis in-memory data store – which was developed by VMware and is maintained by Pivotal Software – to support replication of the initial margin and variation margin calculation methodologies that are used by central counterparties. To help clearing members avoid multiple integrations with central counterparties, the platform includes a single application programming interface to provide access to all supported central counterparty margin methodologies.

Based on the speed of calculation supported by in-memory data management, the platform can provide intraday re-margining of portfolios and respond to swap execution facility pings in real time.

Mas Nakachi, CEO of OpenGamma, says: “We developed the margining platform by enhancing the value at risk process supported by our risk engine and working with market participants to make calculations faster and more precise. The in-memory technology is key to real-time processing and the speed of making intraday initial margin calculations.”

The margining platform is designed for on-premise use and is being piloted with a number of clearing houses and clearing member firms. Once the platform is in production, Nakachi expects clearing members to offer some capabilities of the solution, such as the ability to analyse the margin and collateral impact of proposed trades and conduct what-if scenario analysis, to end clients as value added tools.

Looking forward and wearing his open source hat, Nakachi expects open source solutions to continue to gain traction as more markets become electronic.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Unlocking value: Harnessing modern data platforms for data integration, advanced investment analytics, visualisation and reporting

Modern data platforms are bringing efficiencies, scalability and powerful new capabilities to institutions and their data pipelines. They are enabling the use of new automation and analytical technologies that are also helping firms to derive more value from their data and reduce costs. Use cases of specific importance to the finance sector, such as data...

BLOG

Data’s Evolution Continues From Cost to Core Asset: DMS New York City 2025 Preview

Modern Chief Data Officers are not only the guardians of financial institutions’ data estates, they are also the caretakers of their single-biggest asset. With every part of an organisation’s business now dependent on data, the custody of its digital information is every bit as critical to operations as the management of trading teams or even...

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

Enterprise Data Management

The current financial crisis has highlighted that financial institutions do not have a sufficient handle on their data and has prompted many of these institutions to re-evaluate their approaches to data management. Moreover, the increased regulatory scrutiny of the financial services community during the past year has meant that data management has become a key...