Research Scientist, Fintech Optimization - Rakuten Institute of Technology Worldwide (RIT)

Role summary

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Rakuten Institute of Technology is seeking a research scientist to develop optimization methods and data-driven technologies for fintech services. The role is likely to involve research in mathematical optimization, machine learning, algorithms, statistics, or related fields, followed by practical implementation and evaluation. Candidates should have a PhD or equivalent research experience in computer science, operations research, mathematics, engineering, or a similar discipline. Strong programming skills, particularly in Python, C++, or related languages, are expected, along with the ability to publish research and communicate technical findings in English. Experience applying optimization or machine learning to financial, marketplace, or large-scale business problems would be valuable. The successful candidate will be expected to work independently, collaborate across international teams, and turn advanced research into usable products.

About the employer

Rakuten is a major Japanese technology and internet services company founded in 1997 and headquartered in Tokyo. Its businesses cover online retail, travel, digital content, fintech, credit cards, banking, securities, mobile communications, and advertising. The company operates a broad ecosystem in which customers can use Rakuten services and earn and spend Rakuten Points. Rakuten Institute of Technology supports the group through research in areas such as artificial intelligence, machine learning, optimization, natural language processing, computer vision, robotics, and data science. Its researchers work with business divisions and international teams to apply advanced technology to real-world challenges. Rakuten is known for its global workforce, English-friendly corporate environment, and emphasis on innovation, though Japanese-language ability can be useful in some teams and daily life.