Money laundering has become a cross-institutional problem, but anti-money laundering (AML) systems remain largely institution-bound. Criminal networks distribute transactions across multiple banks, ...

High-quality data is the bedrock of an effective anti-money laundering (AML) and watchlist screening programme. Incomplete or inaccurate data can lead to false negatives, potentially allowing illicit ...

Increasing geopolitical instability, regulatory developments, and technological advances are set to contribute to a rapidly changing anti-money laundering (AML) landscape in 2024. Here, we look at ...

As we shift towards a digital economy, Data engineering and modernization of the Banking and Finance systems are extremely critical. Employing robust data strategies and governance protocols designed ...

Many banks' initial response to consent orders arising from regulatory action is to address the immediate problem by clearing backlogs or addressing issues with suspicious activity reports, instead of ...

The harder question now is supervisory: how can regulators see, interpret and supervise digital asset activity across users, ...

Regulatory scrutiny of AML documentation has shifted from checklist compliance toward evidentiary analysis. Supervisors increasingly reconstruct decision-making from institutional files to assess ...

Unlock the power of your data with an effective data governance framework for security, compliance, and decision-making. Data governance frameworks are structured approaches to managing and utilizing ...