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: Streamlining trading and investment processes with data standards and identifiers

Financial institutions are integrating not only greater volumes of data for use across their organisation but also more varieties of data. As well, that data is being applied to more use cases than ever before, especially regulatory compliance and ESG integration. Due to this increased complexity of institutions’ data needs, however, information often arrives into...

BLOG

13 Leading AI-Based Data Management Capability Providers

Institutions are facing huge operational burdens as they ingest huge volumes of data, demand real-time analytics and face stringent regulatory scrutiny. Consequently, the new data landscape is rendering traditional data management systems inadequate for the growing number of use cases to which data is being deployed. This has necessitated a shift towards modern data management...

EVENT

TradingTech Summit London

Now in its 15th year the TradingTech Summit London brings together the European trading technology capital markets industry and examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.

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...