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R&D Scientist
Rakuten, Inc.
00006575 Requisition #

Position Summary:

Rakuten Group, in addition to Japan’s largest e-commerce platform Rakuten Ichiba, consists of multiple companies spanning all areas of financial services. Their strong technological expertise and focus on customer satisfaction have resulted in fast growth and significant market share acquisition. Related financial sectors include

-       Banking (Rakuten Bank)
-       Brokerage (Rakuten Securities)
-       Insurance (Rakuten Life Insurance)
-       Investment (Rakuten Capital, Rakuten Investment Management)
-       Payment (Rakuten Card, Rakuten Edy and more)

Financial Analysis Team is the arm of Rakuten Institute of Technology (RIT), Rakuten Group’s dedicated R&D organization, which directly supports its financial services through innovative use of data and technology. We combine our research expertise with a deep understanding of the business needs to continually increase their profitability and enhance their customer experience. Our research topics include Data Mining, Machine Learning, Optimization and Financial Engineering.

We are looking for talented researchers and data scientists with experience or strong interest in financial services to join our team and develop innovative solutions with practical and wide-ranging applications.



  • Stay up-to-date with financial news and research developments.
  • Identify opportunities and define research proposals through communication with the stakeholders (business and engineering teams).
  • Develop innovative solutions and prototypes, possibly collaborating with RIT researchers from different fields to maximize the added value.
  • Keep close contact with the stakeholders to communicate the benefits of the solutions and align with the requirements.
  • Support the engineering teams towards the implementation and use of the prototypes in production.
  • Follow up on the production status and iteratively upgrade the solution when possible.

Minimum Qualifications:

  • Master degree in computer science, mathematics, physics, electrical engineering or related field
  • Understanding of basic mathematics, statistics and machine learning
  • Strong programming experience in one or more of the following: Python, Java, C, C++, Ruby
  • Experience pre-processing datasets using scripting and query languages, especially SQL
  • Experience with development in Unix/Linux environment
  • Research capabilities in related quantitative areas
  • Passion for contributing to businesses by applying innovative solutions to real-world problems
  • Interest in finance businesses



Preferred Qualifications:

  • Doctoral degree in computer science, mathematics, physics, electrical engineering or related field
  • Professional experience in finance related businesses such as financial trading, loan business, marketing of financial products, etc.
  • Experience in distributed computing such as Spark and Hadoop
  • Experience in implementation and operation of actual software/web services on production
  • Understanding of advanced mathematics, statistics and machine learning such as deep learning

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