Securities Finance Industry News | Refinitiv makes its quantitative data available on Snowflake

Refinitiv made its quantitative data suite available through Snowflake, the financial services data cloud.

Launching today, this service will allow buy-side quantitative businesses to access Refinitiv’s quantitative data, as well as other supported vendor and proprietary datasets on Snowflake, while reducing the challenge of managing their own internal data infrastructure.

Refinitiv Quantitative Analytics on Snowflake offers a scalable platform for managing quantitative analysis and investment data, providing access to an extensive repository of over 60 third-party and alternative financial data, quantitative alpha models, and other datasets.

As a cloud-based service, Refinitiv Quantitative Analytics is updated around the clock and offers users the ability to manage their own proprietary datasets within the service alongside Refinitiv and third-party data content. This data content includes Datastream equity and index pricing, Worldscope fundamentals and Starmine models, and ESG data to support sustainability and ethical conduct metrics.

According to the London Stock Exchange-owned data specialist, the service will benefit from the advantages offered by the Snowflake data platform, enabling faster integration, real-time updates, scalability and reduced maintenance costs. servers and data, backed by the flexibility and security of a single cloud platform.

Austin Burkett, Head of Quantitative Analytics and Content at Refinitiv, says, “Our customers need solutions that speed up and simplify the data entry and matching process. Our quantitative analytics service is a long-standing and trusted offering in the market and its delivery through Snowflake amplifies its value for our mutual customers.

Matt Glickman, Financial Services Sector Leader at Snowflake, comments, “The Snowflake Data Cloud enables financial services customers to seamlessly discover, access and collaborate with data without the traditional challenges of data movement.

“[This will enable faster insights and decision making, while] improve workflows for quantitative researchers who now have the ability to integrate, join and query their own portfolio data, Refinitiv financial forecasts, fundamental and market data, topical ESG content as well as alternative data sets.

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