About a-team Marketing Services
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Société Générale Chooses Algorithmics’ CVA Solution

Subscribe to our newsletter

Algorithmics, the leading provider of risk solutions, announced today that Société Générale Corporate & Investment Banking (SGCIB) has chosen to work with Algorithmics, to develop a counterparty credit valuation adjustment (CVA) solution that the CVA desk will use to actively price and manage counterparty credit risk (CCR) across all asset classes.

David Murphy, Head of CVA Desk, SGCIB Capital Markets, commented: “Pricing and active management of counterparty risk are of critical importance to financial institutions and they place rigorous demands on CVA software for performance, real-time response time, and front office 7×24 operations. After a thorough evaluation, we are looking forward to working with Algorithmics on this exciting project.”

In the aftermath of the credit crisis, improving counterparty credit risk management has become an important consideration for all financial institutions.  Leading firms recognize that to effectively manage the business incentives for mitigating CCR within their operations, they need to centralize and quantify CCR for individual business lines by establishing a CVA desk.

Bob Boettcher, Senior Director of Market and Credit Risk at Algorithmics, said: “Intelligent charging for credit risk is of fundamental importance; we’ve invested five years of research into the challenge of delivering accurate CVA measures at speeds that traders demand. Société Générale’s CVA desk project will support more risk-aware trading decisions with a consistent analytical and technical framework for risk managers and traders. When fully integrated within a firm, the CVA desk function has the potential to act as a catalyst for bringing together different areas of the bank with influence over CCR, such as collateral management, market risk, credit risk, and credit derivatives trading. We are delighted to extend our ongoing relationship with Société Générale on such an important credit risk project.”

Algorithmics’ CVA solution for the front office includes the award-winning Real-Time Credit Engine. This production-proven, real-time solution has been designed to provide consistent results 24×7, and deliver both end-of-day and incremental Monte Carlo based PFE (potential future exposures) and CVA analytics. The speed and accuracy of our calculations has been the focus of over ten years of research and development. The result is a solution designed to meet middle office requirements for depth and breadth of analysis and reporting, and front office requirements for instant results that are easy to understand and use.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Taming the Private Markets Data Beast: Solving for Valuation, Integration, and Reporting in Alternative Investments

Available On-Demand Institutional activity in private markets has surged as organisations’ traditional investment theses have been upended by global economic volatility, geopolitical instability and fee compression. In their search for better risk-adjusted returns, they have found a rich seam of alpha from private equity and credit, real assets, venture and hedge funds, as well as...

BLOG

MCPs in Data Management: A Fundamental Shift in Scaling AI

The breakneck development of artificial intelligence tools and applications is visible in the rapid emergence every six months or so of “the next big thing”. Generative AI was the big thing two years ago, agents were the big thing last year and this year it’s the turn of Model Context Protocols (MCPs). Attracting the “game...

EVENT

Data Management Summit, New York City

Now in its 17th year, Data Management Summit (DMS) NYC returns in September 2027, to explore how to use data and AI to drive measurable business outcomes - reliably, repeatedly and at scale.

GUIDE

Regulatory Data Handbook 2026 – Fourteenth Edition

Welcome to the fourteenth edition of A-Team Group’s Regulatory Data Handbook. Supervisors increasingly expect firms to demonstrate which rules apply, which data supports each obligation, who owns the control and how exceptions are identified and resolved. Policies and implementation programmes must now be supported by records that can withstand regulatory scrutiny. This edition examines material...