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

US AML Requirements Shift Human Capital Focus

Subscribe to our newsletter

A report from Thomson Reuters and the Association of Certified Anti-Money Laundering Specialists (ACAMS) notes that since the launch of US AML requirements for financial institutions in May 2018, firms have shifted human capital focus away from regulatory change management towards more efficient customer due diligence (CDD).

According to the 2018 Anti-Money Laundering (AML) Insights Report, the increased certainty provided by the Financial Crimes Enforcement Network’s (FinCEN) new CDD Rule has had a dramatic impact on the human resources strategy of financial firms. Over a quarter (28%) of survey respondents anticipate an increase in staffing for AML compliance purposes, compared to just 8% in 2017. This focus has resulted in a decrease of regulatory enforcement, with just 22% of organisations experiencing regulatory action compared to 31% the previous year.

Chris Maguire, managing director, Corporate Legal at Thomson Reuters, says: “Developing customer risk ratings is a key component of the CDD Rule. The most commonly used factors to develop the risk rating were customer activity, geographic location and political exposure, with politically exposed persons being the top standard measure of risk, as it was in the 2017 report. Organisations have also improved their collection and speed of gathering necessary information.”

The CDD rule may continue to require substantial time and investment, but improving data management and quality, investing in new technology and process automation, and streamlining business processes are key areas of focus. In these areas, the challenges are increased regulatory expectations, properly trained staff and outdated technology.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: How to leverage Generative AI and Large Language Models for regulatory compliance

Generative AI (GenAI) and Large Language Models (LLMs) offer huge potential for change across capital markets, not least in regulatory compliance where they have the capability to help firms understand and interpret regulations, automate compliance, monitor transactions in real time, and flag anomalies in the same timeframe. They also present challenges including explainability, responsibility, model...

BLOG

A-Team Group Announces Winners of its Data Management Insight Awards Europe 2025

A-Team Group has announced the winners of its Data Management Insight Awards Europe 2025, celebrating the latest outstanding contributions from companies recognised for their innovation, expertise and performance.  Now in its fourth year, these annual awards acknowledge the leading providers of data management solutions, services and consultancy services to capital markets participants across Europe. Established...

EVENT

Buy AND Build: The Future of Capital Markets Technology

Buy AND Build: The Future of Capital Markets Technology London 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 2018/2019 – Sixth Edition

In a testament to the enduring popularity of the A-Team Regulatory Data Handbook, we are delighted to publish a sixth edition for 2018-19 of our comprehensive guide to all the regulations and rules that might impact data and data management at your institution. As in previous editions of the Regulatory Data Handbook, we have updated...