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

Quantifi’s Latest Whitepaper Explores the Challenges in Implementing a Counterparty Risk Management Process

Subscribe to our newsletter

Quantifi, a provider of analytics, trading and risk management solutions for the global capital markets, has published a whitepaper entitled ‘Challenges in Implementing a Counterparty Risk Management Process’. The paper explores the key challenges for banks in the implementation of counterparty risk management, focusing on data and technology issues, in the context of current trends and best practices.

In lieu of new regulation requirements, many banks face the challenge of consolidating their central counterparty risk groups or CVA desks across asset classes and business lines. The white paper reviews the primary challenges, which include:

• Gathering transaction and market data from many different trading systems, along with legal agreements and other reference data, causing significant and often underestimated data management issues.

• Difficulty calculating CVA and exposure metrics on an entire portfolio and incorporating all relevant risk factors.

• Expectations from traders and salespeople for near real-time performance of marginal CVA pricing of new transactions.

• Integrating internal counterparty risk management with regulatory processes.

In short, the data, technological, and operational challenges involved in implementing a counterparty risk management process can be overwhelming.

“The OTC markets are going through significant changes due to new regulations and the impending Basel III capital accord,” said David Kelly, director of credit products at Quantifi. “Many of these changes are being driven by counterparty risk concerns, either mandating or creating incentives for central clearing and imposing significantly higher capital charges for bilateral trading. In this new environment, banks are transitioning their business models and shifting decision making authority from the front office to central risk management groups, including CVA desks.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: GenAI and LLM case studies for Surveillance, Screening and Scanning

As Generative AI (GenAI) and Large Language Models (LLMs) move from pilot to production, compliance, surveillance, and screening functions are seeing tangible results – and new risks. From trade surveillance to adverse media screening to policy and regulatory scanning, GenAI and LLMs promise to tackle complexity and volume at a scale never seen before. But...

BLOG

When 1% Breaks the Fund: The Sanctions Contagion Facing ETF Issuers

Roy Kirby, Head of Core Products at SIX Group, has spent the past four years watching sanctions transform from episodic geopolitical tools into a structural feature of market risk. In sharing insights with RegTech Insight, he sets out how the acceleration and layering of sanctions since 2022 are reshaping compliance obligations for ETF issuers and,...

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

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...