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Thomson Reuters and Imperial College London have teamed up on research projects to look at big data challenges impacting global fintech and regtech.

Working with researchers from the Data Science Institute at Imperial, Thomson Reuters will contribute financial market data and legal expertise, as well as data management and machine-learning expertise, to Imperial’s data visualisation studio, and will work with academics from the College to solve industry problems through research.

The partnership aims to tackle issues such as supply chain risk, financial risk management, real-time data analysis; and regtech issues such as the impact of regulation.

Professor Yi-ke Guo, director of the Data Science Institute at Imperial, says the world is “experiencing a data revolution” and its latest partnership with Thomson Reuters will “present new opportunities to unlock hidden insights, drive forward innovation, and create value by harnessing data”.

In 2014, the College created the Data Science Institute to bring together expertise from across all of its faculties. Thomson Reuters was among the first to collaborate with the institute, and this formal partnership marks the next step in the two entities working together to create technology solutions supported by academic research, experimentation and proof-of-concept applications.

The collaboration between Thomson Reuters and Imperial follows recent openings of additional research facilities in London and Zurich. These facilities are the latest locations to open as part of Thomson Reuters Labs’ “growing” global network, joining locations in Boston, US and Waterloo, Canada. The labs provide facilities for collaboration between customers, tech start-ups and universities.

Imperial has nine London campuses, including its White City Campus: a research and innovation centre that is in its initial stages of development in west London. At White City, researchers, businesses and higher education partners will co-locate to “create value from ideas on a global scale”.

This article was originally published on www.bankingtech.com and can be viewed in full

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