About the role
Research Engineer I(AI/Computer Science/FinTech) is a active engineering role at ntu in NTU Main Campus, Singapore. Open the role to review the official description and apply on the company site.
CompanyOnsite
Key Responsibilities
- Design and deploy credit risk and fraud prediction models using deep learning and NLP.
- Build and optimize LLM-powered solutions for risk management and behavioral analysis.
- Develop RAG workflows and intelligent agents for financial applications.
- Collaborate with cross-functional teams to integrate AI solutions into production systems.
- Conduct research on AI applications in fintech, contributing to innovation and knowledge sharing.
Requirements
- A good Bachelor’s degree in AI, Computer Science, FinTech, or related fields; strong statistical background.
- BERT, LSTM, GRU architectures, and financial risk modeling.
- Proficient in Python, Linux, and open-source LLM platforms.
- Knowledge of prompt engineering, multimodal modeling, and Retrieval-Augmented Generation RAG pipelines.
- Strong research and problem-solving skills; ability to deliver production-ready AI models.
- , derivatives, or econometrics.
- Excellent written and verbal communications skills
- We regret that only shortlisted candidates will be notified.
- Hiring Institution: NTU