Updated on 11 Nov 2025
Updated on 11 Nov 2025
Updated on 11 Nov 2025
Updated on 11 Nov 2025
Updated on 11 Nov 2025
- Define research goals and medium-term strategies aligned with business needs.
- Design, implement, and evaluate LLM-based algorithms to address key challenges in fintech services.
- Collaborate with product, engineering, and compliance teams to validate and refine solutions.
- Prototype novel approaches and support their integration into production systems.
- Mentor junior researchers and contribute to a collaborative research culture.
- Contribute to scientific communities via publications, patents, and conference participation.
Mandatory Qualifications:
- Ph.D. in Computer Science, NLP, Machine Learning, or a related field; or equivalent practical experience.
- Proficiency in Python and experience with ML/LLM frameworks (e.g., HuggingFace Transformers, OpenAI API, LangChain).
- Solid understanding of LLM architectures, prompt engineering, and fine-tuning techniques.
- Ability to work independently, communicate research clearly, and collaborate in crossfunctional teams.
- Familiarity with Unix/Linux development environments and version control (e.g., Git).
- Strong interest in applying LLMs to structured/unstructured financial data. Desired Qualifications:
- Track record of publications or open-source contributions in NLP or LLM research.
- Experience with instruction tuning, LoRA, or retrieval-based architectures.
- Experience with financial data (e.g., credit card transactions, financial documents, compliance workflows, financial markets).
- Ability to communicate in Japanese with product or business teams.
- Experience managing or mentoring junior researchers.
- Experience optimizing LLM applications for cost, latency, or accuracy in production settings.
Other Information:
Additional information on English Qualification English: Fluent