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

Upcoming Webinar: Building a Semantic Layer for Your Enterprise Data Estate

Date: 8 September 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes The democratisation of data has encouraged engineers to think about how to make their data estates more accessible and useable for non-technical business end-users. Translating intention into data action requires careful configuration that enables consumers to mine insight, analytics...

BLOG

Why Sanctions Compliance Is Becoming an Intelligence-Led Discipline

By Theodora Papadimitropoulou, Head of Global Product Strategy, GTM at Dun & Bradstreet. For years, sanctions compliance was closely associated with a single task, running a counterparty’s name against the relevant lists, checking for a match and acting if required. How much that tells you, though, depends heavily on the provider and the data behind...

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

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...