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Advancing banking technology, financial data & services

Refinitiv Labs

Refinitiv™ Labs collaborate with customers around the world to solve big problems with trusted Refinitiv data.

About Refinitiv Labs

Discover what we do

Refinitiv Labs is shaping the future of data

We collaborate with our customers, partners and colleagues to identify and pursue new business opportunities.

At Refinitiv Labs, cross-functional sprint teams rapidly prototype and validate AI-enabled solutions using emerging technologies, data science, lean techniques and trusted Refinitiv data.

Our data science teams have deep understanding of the issues affecting financial markets and problem-solve from the world’s financial and technology hubs – in New York, Singapore, and London.

What we're working on in Refinitiv Labs

Explore our projects

Get a behind-the-scenes look at how Refinitiv Labs are enabling new Artificial Intelligence/Machine Learning use cases and transforming the future of financial services.

Six tips for a successful data science collaboration

In 2019 Standard Chartered Bank and Refinitiv Labs collaborated on a new workflow solution to give Standard Chartered Bank’s wealth advisors relevant and actionable market and customer data on one platform, enabling advisors to make real-time and reliable recommendations to their customers. 


Alexis Calla, CIO at Standard Chartered Bank and Sanjna Parasrampuria, Head of Refinitiv Labs, Asia, share 6 tips behind the successful data science collaboration.

Experience Refinitiv Labs

Labs Open Days

A behind the scenes look at our latest AI/ML use-cases, technologies and innovation process.

Our research

Research and development publications

Refinitiv Labs disseminates some of its cutting-edge research and development output to demonstrate its thought leadership, and to engage with the scientific community in moving forward the state of the possible.

Join us

Refinitiv™ Labs are a data scientist’s dream

As one of the world’s leading data providers, you’ll have the opportunity to work with petabytes of real world data sets in finance. Click below to see current job openings.