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Finastra Unveils Bank Climate Sandbox with Green RWA

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FinTech Finastra has partnered with Green RWA to create a tool that enables banks manage climate risks, including those facing their assets. The Climate-Extended Risk Model (CERM) Sandbox calculates physical and transition risks to its portfolio and loan book as well as its own operations.

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Related content

WEBINAR

Recorded Webinar: The Data Office at a Crossroads — AI Governance, Organisational Design, and the Evolving Mandate of the CDO

Who owns AI governance in a capital markets firm – and is the Data Office structured to bear that weight? These questions sit at the heart of A-Team Research’s latest findings, presented here for the first time: the combined results of two landmark surveys examining the role of the Data Office in AI governance and...

BLOG

ESG Ratings Use Seen in Decline But AI, Increased Regulation Could Lift Their Popularity

ESG ratings still play an important part in investors’ due diligence processes, but they are no longer among the leading sources of information guiding their decisions, a recent survey has concluded. Increased scrutiny of ratings agencies by regulators and government bodies, as well as improved means of gathering ESG data, mainly through the use of...

EVENT

ExchangeTech Summit London

A-Team Group, organisers of the TradingTech Summits, are pleased to announce that the second ExchangeTech Summit London will take place in May 2027. This dedicated forum brings together operators of exchanges, alternative execution venues and digital asset platforms with the ecosystem of vendors driving the future of matching engines, surveillance and market access.

GUIDE

Entity Data Management

Entity data management has historically been a rather overlooked area of the reference data landscape, but with the increase focus on managing risk, the industry is finally taking notice. It is now generally agreed to be critical to every financial institution; although the rewards for investment in entity data management appear to be rather small,...