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

A-Team Insight Blogs

SmartStream RDU Launches API to Get Firms Over the SFTR Finish Line

Subscribe to our newsletter

Transaction Lifecycle Management specialist SmartStream has extended its Reference Data Utility (RDU) SFTR service to include a new API targeting firms who need fast access to the technology and data needed need to meet ESMA’s delayed SFTR reporting deadline of July 13.

The API gives access to new tools to validate reference data content during the final weeks of testing before the regulatory deadline – whether that involves filling data gaps, resolving exceptions, not having full issuer to ISIN LEI coverage, or helping firms to avoid counterparty breaks and rejected reports. With an onboarding process of less than 24 hours. It can be integrated as a value-added service to an established solution, or launched as a new control framework specifically targeted at reference data for SFTR obligations.

“In response to the adverse developments resulting from the Coronavirus outbreak, ESMA made the bold decision to postpone the original deadline for the SFTR reporting obligations. Despite having an additional three-month window to prepare, we have found that many firms need extra help to get them across the finish line,” notes Linda Coffman, EVP at SmartStream RDU. “We understand the pressures of meeting regulatory obligations, and we are providing easily accessible technology which focusses on key SFTR reference data attributes.”

The reference data used by the SFTR service is acquired by the SmartStream RDU from a broad range of industry sources, before being normalised, enriched and mapped, on a single platform, into the format required by the regulator.

 

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Building a Semantic Layer for Your Enterprise Data Estate

The democratisation of data has encouraged engineers to think about how to make their data estates more accessible and useable for non-technical business end-users. Translating intention into data action requires careful configuration that enables consumers to mine insight, analytics and value without having to use precise technical terminology. Data engineers achieve this through semantic layers,...

BLOG

Deeploy Q&A: Keeping a Careful Eye on AI Agents and Models

Dutch governance for AI platform Deeploy works within highly regulated industries to ensure their agents and models are running on safe guard rails. Data Management Insight spoke to Maarten Stolk, Co-Founder and Chief Executive at Deeploy, about the company and why governance is so crucial in the AI age. Data Management Insight: When was Deeploy...

EVENT

Buy AND Build: The Future of Capital Markets Technology

Buy AND Build: The Future of Capital Markets Technology London 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

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...