The new regulation, which comes into effect in April, is designed to increase transparency in repo markets but presents a complex reporting challenge for firms. As a member of the UnaVista Partner Programme, GLMX connects directly to the trade repository on behalf of clients, streamlining the onerous SFTR reporting process and enabling firms to fulfil regulatory obligations.

“We are delighted to have GLMX as part of UnaVista’s Partner Programme. This underlines UnaVista’s commitment to simplifying SFTR for reporting firms. With the rollout of SFTR starting next month, firms need to prepare to meet their reporting obligations,” said Michael Leach, managing director of global business development at UnaVista. “Our collaboration with GLMX simplifies how their clients’ data is routed to UnaVista, helping to ensure that securities financing transactions are reported accurately and efficiently.”

“The digitisation of repo transactions and associated data is a prerequisite for effective SFTR reporting, which is accelerating the shift towards electronic trading for securities financing transactions,” Phil Buck, Managing Director, Europe at GLMX, said.

“Today’s announcement marks an important milestone for GLMX, as we continue to expand collaborations with the leading European trade repositories ahead of SFTR implementation,” Buck added. “By partnering with UnaVista, we can ensure seamless connectivity for regulatory reporting on behalf of our customers.”

Live since 2016, GLMX’s ground-up, redesigned technology was implemented in 2018 across global repo markets including Rates, Credit and Emerging Markets. It supports Client to Dealer, RFQ-driven, multi-variable negotiation and trade execution for the securities financing market. All transactional types, such as term, open, callable, packages; tri-party and GC baskets; bilateral and cleared; plus full trade lifecycle management, are supported by straight-through-processing. The platform also supports multiple mechanisms for pre-trade price discovery, along with real-time data-driven intelligence for trading decision support.