Join a top-tier global technology firm as a Fintech AI Research Scientist based in Tokyo. You’ll lead innovative AI initiatives in credit scoring and risk modeling, using advanced machine learning and deep learning techniques. This is an exciting opportunity to contribute to applied research with real-world impact across a range of financial services. You’ll collaborate with a global team and help bridge the gap between academic innovation and business application.
Key Responsibilities
- Design machine learning models for credit and risk assessment using behavioral and customer data
- Conduct offline testing and online PoC experiments to validate model performance
- Collaborate with business and engineering teams to align AI initiatives with product needs
- Analyze large-scale datasets to extract actionable insights
- Apply deep learning, transfer learning, and causal inference techniques to real-world problems
- Mentor junior researchers and drive knowledge-sharing within the team
- Publish findings and propose patents to drive both innovation and commercial value
Required Skills and Qualifications
Experience:
- Ph.D. in Computer Science or a related field, or equivalent experience
- Strong hands-on experience developing ML/DL models in Python
- Solid understanding of statistics, hypothesis testing, and data science methods
- Familiarity with Unix/Linux environments and version control (e.g., Git)
- Fluent English communication for international collaboration
- Self-directed and capable of driving research independently
Soft Skills:
- Analytical mindset with a passion for fintech and innovation
- Open-minded, collaborative, and research-driven personality
Language Requirements
- Japanese: Basic level (preferred for stakeholder communication)
- English: Fluent
Preferred Skills & Qualifications
- Track record of publications in international AI/ML journals or conferences
- Experience leading research projects or mentoring team members
- Ability to engage Japanese stakeholders in technical discussions
Are you interested in this position? Apply by clicking on the “Apply Now” button below!
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