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

Refinitiv Addresses Money Laundering through Partnership with Napier

Subscribe to our newsletter

With financial crime a key agenda issue at financial institutions, Refinitiv has partnered Napier, a provider of anti-money laundering (AML) and intelligent compliance software, to offer a next-generation transaction monitoring solution designed to help firms tackle money laundering and combat emerging threats of financial crime.

The partnership offers Napier’s analytics, automation and artificial intelligence (AI), backed by Refinitiv’s World-Check Risk Intelligence data, to meet an evolving range of AML compliance requirements. Napier’s AML solution consists of AI-based products to help customers combat evolving threats in financial crime through transaction monitoring, customer and transaction screening. World-Check Risk Intelligence provides users with structured data retrieved from reliable, reputable, public domain sources for risk screening purposes. The information helps firms fulfil due diligence obligations and identify potential financial and related crime, as well as politically exposed persons, sanctioned entities and other areas of concern.

Phil Cotter, managing director of the risk business at Refinitiv. acknowledges the challenges financial services firms face in protecting themselves from money laundering, external and internal fraud, and other financial crime-related activities, and says the partnership of Refinitiv and Napier will bring advances in technology combined with trusted risk intelligence to help organisations monitor transactions and screen for suspicious financial activity.

Using big-data architecture along with AI and machine learning, the Napier solution rapidly ingests and processes hundreds of millions of transactions, client records and all reference data. Users can define scenarios by means of an intuitive user interface without the need for complex coding, and identify high-risk clients and transactions while minimising false positives. The solution also accelerates AML processes and provides an audit trail of all user and system generated actions.

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

FCA Takes Charge: UK Centralises AML Supervision Across Professional Services

The United Kingdom’s decision to centralise Anti-Money Laundering (AML) and Counter-Terrorism Financing (CTF) supervision under the Financial Conduct Authority (FCA) marks a structural shift that brings professional services oversight in line with the rest of the financial sector. The move aligns the UK with a broader global trend toward consolidation, consistency, and intelligence-led supervision –...

EVENT

TradingTech Summit London

Now in its 15th year the TradingTech Summit London brings together the European trading technology capital markets industry and examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.

GUIDE

Regulatory Data Handbook 2025 – Thirteenth Edition

Welcome to the thirteenth edition of A-Team Group’s Regulatory Data Handbook, a unique and practical guide to capital markets regulation, regulatory change, and the data and data management requirements of compliance across Europe, the UK, US and Asia-Pacific. This year’s edition lands at a moment of accelerating regulatory divergence and intensifying data focused supervision. Inside,...