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

SuperDerivatives and Algorithmics to Deliver Exceptional Risk Management Across OTC Derivatives to the Buy and Sell Side

Subscribe to our newsletter

SuperDerivatives (SD), the derivatives benchmark and multi asset front office system, has entered into a memorandum of understanding with Algorithmics, a provider of risk solutions, to offer banks, funds and asset managers a comprehensive solution to improve their risk management capabilities.

The collaboration, which is subject to final contract, includes two elements: integrated data for managing OTC derivatives using SD’s volatility surfaces and Algorithmics’ risk analytics for all asset classes and instruments.

Algorithmics’ clients can benefit by integrating SD’s data into Algorithmics’ full valuation framework and thereby isolating volatility as a risk factor more effectively. In turn, SD’s clients can benefit by utilising Algorithmics’ risk analytics.

The combined services of Algorithmics and SD gives both buy and sell side derivatives trading institutions an industry standard, market-calibrated risk reference data for foreign exchange, commodities, energy, equities, interest rates and credit derivatives. This data is then fed into a market leading and flexible risk solution with the widest range of products and structures, together with powerful and proven VaR and other risk management measures.

David Gershon, CEO, SD, comments: “We are seeing a renewed focus from both existing and new customers on transparency, accuracy, cost control and risk management. These have long been key components of our derivatives offering and working with Algorithmics will help us to complete the service we can offer while expanding our client base significantly.”

Andrew Aziz, executive vice president, Algorithmics, says: “Both our and SD’s customers will benefit from the integration of SD’s respected benchmark volatility data with our award-winning risk analytics systems. This alliance strengthens our ability to meet market demand for the most innovative and effective risk management tools for cross-asset derivatives and we look forward to exploring more collaborative ways to work together with SD.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: End-to-End Lineage for Financial Services: The Missing Link for Both Compliance and AI Readiness

The importance of complete robust end-to-end data lineage in financial services and capital markets cannot be overstated. Without the ability to trace and verify data across its lifecycle, many critical workflows – from trade reconciliation to risk management – cannot be executed effectively. At the top of the list is regulatory compliance. Regulators demand a...

BLOG

Most City Mega Mergers Test Tech More Than Balance Sheets

By Gus Sekhon, head of product, FINBOURNE Technology. The City loves nothing more than a takeover tale as old as time. A US$2.5tn US asset management behemoth snapping up one of London’s most historic investment houses for £10bn sounds like a story of global ambition and deep pockets. The Schroders brand stays, the headquarters remains...

EVENT

RegTech Summit London

Now in its 9th year, the RegTech Summit in London will bring together the RegTech ecosystem to explore how the European capital markets financial industry can leverage technology to drive innovation, cut costs and support regulatory change.

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...