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

A-Team Insight Briefs

BNP Paribas Expands Use of CobaltFX’s Dynamic Credit to Enhance Market Efficiency and Regulatory Compliance

Subscribe to our newsletter

BNP Paribas has further expanded its use of CobaltFX’s Dynamic Credit solution, to improve the allocation of credit for FX transactions. The move aims to simplify credit distribution among over 100 counterparty banks, and to optimise global credit management across 12 Electronic Communication Networks (ECNs). The initiative is designed to address regulatory and industry concerns, setting a new benchmark for precision and effectiveness in market operations.

The expansion highlights BNP Paribas’s commitment to innovation and efficiency in credit allocation, enhancing market access for financial institutions worldwide. With the integration of CobaltFX’s Dynamic Credit and the newly developed CobaltFX Analytics, BNP Paribas continues to address regulatory concerns, further establishing its leadership in market operations, according to Joe Nash, Head of Global Macro Digital at BNP, who commented: “We see this as an important initiative to address regulatory and industry body concerns about the over-allocation and inefficiencies of credit distribution on dealer to dealer venues. Moreover, this approach, combined with CobaltFX Analytics allows us to right size our limit for each counterparty whilst improving market access with them.”

Darren Coote, CEO of CobaltFX, part of United Fintech, added: “This systemic problem has been long over-looked but there are a group of leaders in the industry that understand the benefits of this unique approach. We are very grateful for BNP’s leadership in this regard.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: The Role of Data Fabric and Data Mesh in Modern Trading Infrastructures

The demands on trading infrastructure are intensifying. Increasing data volumes, the necessity for real-time processing, and stringent regulatory requirements are exposing the limitations of legacy data architectures. In response, firms are re-evaluating their data strategies to improve agility, scalability, and governance. Two architectural models central to this conversation are Data Fabric and Data Mesh. This...

BLOG

Platform-Led Strategies for Solving Market Data Fragmentation, Cost and Governance Challenges

For any Chief Data Officer or Head of Trading Technology, the line item for market data is both one of the largest and most complex to manage. The challenge is no longer simply about plumbing feeds into applications. It is a strategic imperative to control spiralling costs, integrate a chaotic mix of traditional and alternative...

EVENT

AI in Capital Markets Summit London

Now in its 2nd 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

Regulatory Data Handbook 2014

Welcome to the inaugural edition of the A-Team Regulatory Data Handbook. We trust you’ll find this guide a useful addition to the resources at your disposal as you navigate the maze of emerging regulations that are making ever more strenuous reporting demands on financial institutions everywhere. In putting the Handbook together, our rationale has been...