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

Automated Software is Replacing Human Decisions, Finds ESMA

Subscribe to our newsletter

A combination of supply-based developments and demand-based needs are potentially transforming the way financial institutions comply with regulation and supervisory authorities oversee market participants, warned the European Securities and Markets Authority (ESMA) in a new report released on March 14, 2019.

The regulator recently carried out an analysis of the regulatory and supervisory technologies currently being developed in response to various demand and supply drivers, finding that regulatory pressure and budget limitations are pushing the market towards an increased use of automated software to replace human decision-making activities.

“This trend is reinforced by supply drivers such as increasing computing capacity and improved data architecture,” noted the regulator. “Market participants are increasingly using new automated tools in areas such as fraud detection, regulatory reporting and risk management, while potential applications of new tools for regulators include greater surveillance capacity and improved data collection and management.”

With these new tools come challenges and risks, notably operational risk. However, with appropriate implementation and safeguards, RegTech and SupTech (supervisory technology) may help improve a financial institution’s ability to meet regulatory demands in a cost-efficient manner and help regulators to analyse increasingly large and complex datasets.

Foremost among the technological advances, ESMA identified the widespread use of cloud computing, the increased acceptance of Application Programming Interfaces (APIs) and advances in the fields of AI and Machine Learning (AI/ML).

The report also identified a number of risks and challenges for regulators and market participants: including the improvement of data collection and management, the need for a new digital transition and a move towards a new data-driven supervisory process, operational risks including cyber resiliency, and key risks from strategic incentives as firms learn how to leverage potential regulatory loopholes as they develop their RegTech expertise.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: GenAI and LLM case studies for Surveillance, Screening and Scanning

As Generative AI (GenAI) and Large Language Models (LLMs) move from pilot to production, compliance, surveillance, and screening functions are seeing tangible results – and new risks. From trade surveillance to adverse media screening to policy and regulatory scanning, GenAI and LLMs promise to tackle complexity and volume at a scale never seen before. But...

BLOG

FSB Guidance for Supervisors – Tracking Systemic AI Adoption Risk

The Financial Stability Board (FSB) has released detailed guidance on how regulators and supervisors should monitor the adoption of artificial intelligence (AI) across the financial system. The report, Monitoring Adoption of Artificial Intelligence and Related Vulnerabilities in the Financial Sector, provides a practical framework for identifying where AI use may introduce or amplify systemic risks....

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

BCBS 239 Data Management Handbook

Our 2015/2016 edition of the BCBS 239 Data Management Handbook has arrived! Printed copies went like hotcakes at our Data Management Summit in New York but you can download your own copy here and get access to detailed information on the  principles and implications of BCBS 239 on Data Management. This Handbook provides an at-a-glance...