Description
:Department Overview
Rakuten Institute of Technology (RIT) , the core AI research wing of Rakuten, is spread across six geographical locations including Tokyo, Singapore, Boston, San Mateo, Bengaluru, and Paris. This division consists of AI research scientists with specialization in machine learning, deep learning, natural language processing, computer vision and data mining.
The Customer Program, one of our core sciences programs, builds models for customer understanding and applying them to customer targeting solutions.
Fintech AI is one of the research topics in the Customer Program and is positioned as an important research topic in the Rakuten Group (especially fintech businesses). The research members develop algorithms related to financial market.
Research members are working on the development of new trading algorithms and the improvement of the existing algorithms through the analysis of various data such as market data and transaction data, and discussions with business personnel. When ideas for a new algorithm is obtained, the research members implement a simulator to conduct back-tests and evaluate the validity of the ideas.
Research members are required to have the ability to analyze a vast amount of past transaction data, mathematical thinking to obtain ideas for new algorithms based on the insights gained from the analysis, programming skills to simulate the algorithms they designed quickly without bugs, and the ability to propose the verified algorithms to the business.
Position:
Why We Hire
Fintech AI group is seeking researchers with a background in data analysis, algorithm design, and implementation, who can work together on the above research topics.
Position Details
Define short/middle-term direction of projects while aligning with business, product and engineering team
Design algorithms to solve defined research problems. Also, appropriately implement the designed algorithms and evaluate their performance
Work with Project Management team to gather business requirements, define suitable KPIs and guide members on how to validate if the solutions built meets/exceeds the requirements/KPIs
Support engineering teams and product teams to adapt prototypes in production
Support junior-level research scientists
Contribute to the advancement of science via writing papers, attending conferences and submitting patent proposals
Mandatory Qualifications:
Ph.D. in Computer Science or a related field, or equivalent practical experience
Ability to effectively communicate with researchers, engineers, and business personnel in English
Ability to work independently and drive projects forward
Proficiency to analyze and visualize data using Python
Basic understanding of statistics and machine learning, with some practical experience
- Development experience in a Unix/Linux environment
Proficient in code management (e.g., Git)
Interest and curiosity about financial markets
Desired Qualifications:
Strong international publication records
Demonstrated project achievements, such as GitHub repositories
Coding skills: Proficiency in at least one of the programming languages Haskell or Rust, or the ability to quickly learn these languages
Experience leading research members for more than two years
Experience in a field related to high-frequency trading
Ability to effectively communicate with business personnel in Japanese
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