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: Strategies and solutions for unlocking value from unstructured data

Unstructured data accounts for a growing proportion of the information that capital markets participants are using in their day-to-day operations. Technology – especially generative artificial intelligence (GenAI) – is enabling organisations to prise crucial insights from sources – such as social media posts, news articles and sustainability and company reports – that were all but...

BLOG

Critical but Challenging – Managing Unstructured Data: A-Team Webinar Preview

Unstructured data accounts for an estimated 80 per cent of companies’ data estate and the volume of that information is forecast to grow by a third each year. Consequently, management of the class of data that is being culled from sources as diverse as financial reports and social media posts has become a pressing challenge....

EVENT

TradingTech Briefing New York

Our TradingTech Briefing in New York is aimed at senior-level decision makers in trading technology, electronic execution, trading architecture and offers a day packed with insight from practitioners and from innovative suppliers happy to share their experiences in dealing with the enterprise challenges facing our marketplace.

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...