About a-team Marketing Services
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: Voice recording for communications surveillance under MIFID II/MAR

To date, the industry’s regulatory compliance focus for upcoming European MiFID II and Market Abuse Regulation (MAR) has been on issues including the structure of trading facilities, systematic internalisation, governance, best execution and time-stamping. MiFID II and MAR also contain provisions, however, increasing the requirements for recording and archiving voice communication related to securities trading....

BLOG

What the Regulator Wants to See as AI Governance Moves from Policy to Proof

Over the past 18 months, generative AI (GenAI) based solutions have progressed from pilots into mainstream investment and trading processes, including risk and compliance. With the exception of the prescriptive risk-based EU AI ACT, regulators across jurisdictions are relying on existing rule-books and adopting a principles-based approach, rather than publish AI specific regulations. To get...

EVENT

Eagle Alpha Alternative Data Conference, Fall, New York, hosted by A-Team Group

Now in its 8th year, the Eagle Alpha Alternative Data Conference managed by A-Team Group, is the premier content forum and networking event for investment firms and hedge funds.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...