Research Engineer I – AI, Computer Science & FinTech

About the role

The NTU‑WeBank Joint Research Centre on FinTech is seeking a motivated Research Engineer I to advance AI‑driven risk prediction and decision‑making tools. You will work on cutting‑edge machine learning, natural language processing, and large language model applications that directly impact banking services.

Key responsibilities

• Design and deploy credit‑risk and fraud‑prediction models using deep learning and NLP techniques.
• Build, fine‑tune, and integrate LLM‑powered solutions for risk management and behavioural analysis.
• Develop Retrieval‑Augmented Generation (RAG) workflows and intelligent agents for financial applications.
• Collaborate with cross‑functional teams to move AI prototypes into production environments.
• Conduct research on AI applications in FinTech and share findings within the team.

Required profile

• Bachelor’s degree in AI, Computer Science, FinTech or a related field with a strong statistical foundation.
• Experience with BERT, LSTM, GRU architectures and financial risk modelling.
• Proficiency in Python and Linux environments.
• Knowledge of prompt engineering, multimodal modelling, and RAG pipelines.
• Strong research, problem‑solving abilities and clear written and verbal communication skills.

Required skills

• Python
• Linux
• BERT
• LSTM
• GRU
• Deep learning
• Natural Language Processing (NLP)
• Open‑source LLM platforms
• Prompt engineering
• Multimodal modelling
• Retrieval‑Augmented Generation (RAG) pipelines

What we offer

• Competitive contract salary ranging from SGD 3,300 to 6,600 per month.
• Opportunity to work at Singapore’s first FinTech joint research centre.
• Access to state‑of‑the‑art AI resources and collaborative research environment.