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

Panelists Agree that Regulatory Ambiguity Hampers Regulatory Reporting Efficiency

Subscribe to our newsletter

In a panel moderated by Robin Doyle, Managing Director of the Office of Regulatory Affairs at J.P. Morgan, regtech practitioners discussed potential solutions for regulatory reporting efficiency—and the challenges surrounding them.

Doyle addressed some of these challenges when she kicked off the panel, citing the lack of consistency in the manner in which data is requested and the granularity of some requests as examples.

The panel agreed that the lack of harmonisation amongst the regulatory bodies created a lack of congruity amongst the regulations for firms. Richard Berner pointed out the necessity for defining regulatory terms and defining which data are no longer useful for regulatory purposes. CEO of the Smartstream reference data utility, Peter Moss, added that dialogues between regulatory bodies and firms could be helpful.

Maryse Gordon, Senior Pre-sales and Business Development Manager of the London Stock Exchange Group’s Unavista platform, made several observations about how her clients were managing these inefficiencies.

“There are three points I want to make in how we’re seeing our clients deal with this subject,” she commented. “The first is around creating a regulatory hub, getting it into a normalised and standardised format. The second thing we’re seeing are a lot of tools being developed around gap analysis—and there’s always going to be a subset of information that isn’t being captured or isn’t being looked at from a regulatory standpoint. [And] the last point is around reference data, which helps with standardisation and setting the foundation with how that data model would look like.”

In response to Gordon’s first point, Rob McGowan, Executive in Residence and Adjunct Professor at NYU Stern, also argued that the reporting hub requires a control, and should be isolated from the reporting hub.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Hearing from the Experts: AI Governance Best Practices

The rapid spread of artificial intelligence in the financial industry presents data teams with novel challenges. AI’s ability to harvest and utilize vast amounts of data has raised concerns about the privacy and security of sensitive proprietary data and the ethical and legal use of external information. Robust data governance frameworks provide the guardrails needed...

BLOG

13 Leading AI-Based Data Management Capability Providers

Institutions are facing huge operational burdens as they ingest huge volumes of data, demand real-time analytics and face stringent regulatory scrutiny. Consequently, the new data landscape is rendering traditional data management systems inadequate for the growing number of use cases to which data is being deployed. This has necessitated a shift towards modern data management...

EVENT

Data Management Summit London

Now in its 16th year, the Data Management Summit (DMS) in London brings together the European capital markets enterprise data management community, to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

GUIDE

The DORA Implementation Playbook: A Practitioner’s Guide to Demonstrating Resilience Beyond the Deadline

The Digital Operational Resilience Act (DORA) has fundamentally reshaped the European Union’s financial regulatory landscape, with its full application beginning on January 17, 2025. This regulation goes beyond traditional risk management, explicitly acknowledging that digital incidents can threaten the stability of the entire financial system. As the deadline has passed, the focus is now shifting...