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NRI (Nomura Research Institute)
NRI (Nomura Research Institute)
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Research
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Wealth Management Solutions
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Asset Management Solutions
Clearing & Settlement
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About
1961
5, Tokyo 1000005, JPN
NRI (Nomura Research Institute)
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NRI (Nomura Research Institute), a global fintech leader with annual sales surpassing $4.8 billion, revolutionizes financial institutions with cutting-edge IT solutions. Leveraging our consulting expertise, we transform companies into digital powerhouses ready to excel in the digital era. With over 50 years of proven success, NRI addresses a wide range of post-trade operational needs, reducing costs and risks while boosting efficiency.
NRI has more than 17,000 employees in 16 countries and regions including New York, London, Tokyo, Hong Kong, Singapore, and Australia. NRI is rated “A” by S&P Global Ratings Japan.
NRI (Nomura Research Institute), a global fintech leader with annual sales surpassing $4.8 billion, revolutionizes financial institutions with cutting-edge IT solutions. Leveraging our consulting expertise, we transform companies into digital powerhouses ready to excel in the digital era. With over 50 years of proven success, NRI addresses a wide range of post-trade operational needs, reducing costs and risks while boosting efficiency.
NRI has more than 17,000 employees in 16 countries and regions including New York, London, Tokyo, Hong Kong, Singapore, and Australia. NRI is rated “A” by S&P Global Ratings Japan.
Products (2)
I-STAR/GV
NRI’s global securities settlement platform supercharges the international post-trade processing capabilities on the BetaNXT Beta platform
NRI Legacy Lift Lab
NRI’s Legacy Lift Lab supports legacy system modernization and cloud migration strategies. Large, complex legacy systems powered by COBOL tend to present many challenges, significantly depleting the v
Featured Content (2)
by
Saya Takeda
With generative AI expected to yield big benefits across the financial sector amid burgeoning interest in its applicability to business, the Financial Data Utilizing Association (FDUA) recently published a handbook on generative AI use cases at financial institutions and risks specific to those use cases. We spoke to the FDUA’s Representative Director Takuro Okada about the aim of publishing the handbook and plans for future editions.
by
Saya Takeda
Insurers are migrating away from legacy mainframe systems through rehosting or rewriting. However, such modernization projects tend to go awry when undertaken without sufficient preparation or with too much priority placed on minimizing project costs. Such pitfalls, which have in fact cropped up in some high-profile cases, can be avoided by thoroughly analyzing the legacy system before attempting to modernize it.
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Tokyo Location
5, Tokyo 1000005, JPN
New York Location
810 7th Ave, 25th Floor, New York, NY 10019-5818, USA
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