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

A-Team Insight Blogs

Nice Actimize Launches AI-driven Managed Analytics Service

Subscribe to our newsletter

Financial crime management specialist Nice Actimize has expanded ActimizeWatch, its secure cloud-based managed analytics service, to its Financial Markets Compliance solutions.

Leveraging its cloud-based financial crime risk management Platform-as-a-Service, X-Sight, ActimizeWatch provides scalable analytics automation and a two-prong approach that includes Model Optimization and Development Services and Anomaly Detection.

Both functions are offered as overlays to NICE Actimize’s Communications Surveillance, Markets Surveillance, and Sales Practices & Suitability solutions, and offer the ability to anonymously pool and leverage lessons learned across the collective intelligence of NICE Actimize customers, so firms can see larger threats at play in the marketplace and take steps to avoid them.

The Anomaly Detection function utilises unsupervised machine learning models to detect anomalies in monitored employee transactions and communications. These anomalies are then presented in dashboards to compliance analysts for further investigation. Confirmed risks are fed back into the detection models for further refinement, enhancement and retraining.

“In financial services, change can be unrelenting. When surveillance detection models don’t keep pace with change, firms risk falling out of compliance and unnecessarily driving up compliance costs,” says NICE EVP Chris Wooten. “ActimizeWatch’s analytics-as-a-service helps [them] get out in front of changing conditions and uncover hidden compliance risks without taxing resources.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Solving the data management challenges of FRTB

Despite the compliance deadline of the Fundamental Review of the Trading Book (FRTB) being pushed back to January 2022 by many national regulators, the time to address the data management challenges of the regulation is now. The webinar will discuss key elements of FRTB – including risk models, liquidity horizons and data sourcing for risk calculations,...

BLOG

EBA Framework 4.3 Maps the Data Behind AMLA’s First Risk Assessment

The European Banking Authority’s Reporting Framework 4.3 gives financial institutions their first machine-readable view of the data that will support the EU’s selection of firms for direct anti-money laundering supervision. Published earlier this month, the framework marks an intermediate step towards the first formal risk-assessment and selection exercise by the Authority for Anti-Money Laundering and...

EVENT

TradingTech Summit New York

Our TradingTech Summit in New York is aimed at senior-level decision makers in trading technology, electronic execution, trading architecture and offers a day packed with insight from practitioners and from innovative suppliers happy to share their experiences in dealing with the enterprise challenges facing our marketplace.

GUIDE

Regulatory Data Handbook 2026 – Fourteenth Edition

Welcome to the fourteenth edition of A-Team Group’s Regulatory Data Handbook. Supervisors increasingly expect firms to demonstrate which rules apply, which data supports each obligation, who owns the control and how exceptions are identified and resolved. Policies and implementation programmes must now be supported by records that can withstand regulatory scrutiny. This edition examines material...