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

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: Unlocking Transparency in Private Markets: Data-Driven Strategies in Asset Management

As asset managers continue to increase their allocations in private assets, the demand for greater transparency, risk oversight, and operational efficiency is growing rapidly. Managing private markets data presents its own set of unique challenges due to a lack of transparency, disparate sources and lack of standardization. Without reliable access, your firm may face inefficiencies,...

BLOG

CFTC File Format Change to Impact Futures Data Management Teams

For futures commission merchants, clearing members, proprietary trading firms, and banks with material futures and options exposure, the transition of CFTC Part 17 Large Trader Reporting to FIX Markup Language (FIXML) is a test of data management maturity. This change directly affects firms responsible for aggregating, validating, and submitting large trader position data, often across...

EVENT

AI in Capital Markets Summit London

Now in its 3rd year, the AI in Capital Markets Summit returns with a focus on the practicalities of onboarding AI enterprise wide for business value creation. Whilst AI offers huge potential to revolutionise capital markets operations many are struggling to move beyond pilot phase to generate substantial value from AI.

GUIDE

Entity Data Management Handbook

Following on from the success of our Regulatory Data Handbook, A-Team Group is pleased to introduce its new Entity Data Management Handbook which is available for free download. This Handbook is the ultimate guide to all things entity data: Why Entity Data is important A full review of Legal Entity Identifiers (LEIs) Where they came...