NTU-WeBank Joint Research Centre On FinTech is Singapore’s 1st Joint Research Centre in Fintech. By employing “state-of-the-art” research, such as data science and analytics, Internet of Things (IoT) and blockchain technologies, the centre aims to enable and realise Banking 4.0, where banking can be personalised and done anytime, anywhere.
We are seeking a motivated candidate to join our FinTech research team as a Research Engineer. The successful candidate will support ongoing research initiatives by applying advanced machine learning, NLP, and large language models (LLMs) to develop next-generation risk prediction systems and intelligent decision-making tools that drive real business impact.
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.
Job Requirements:
A good Bachelor’s degree in AI, Computer Science, FinTech, or related fields; strong statistical background.
Experience with 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.
Experience in financial engineering, derivatives, or econometrics.
Excellent written and verbal communications skills
We regret that only shortlisted candidates will be notified.
Hiring Institution: NTUSkills Required
- A good Bachelor's degree in AI, Computer Science, FinTech, or related fields; strong statistical background.
- Experience with BERT, LSTM, GRU architectures, and financial risk modeling.
- Proficient in Python, Linux, and open-source LLM platforms.
- Knowledge of prompt engineering, multimodal modeling, and RAG pipelines.
- Strong research and problem-solving skills; ability to deliver production-ready AI models.
- Experience in financial engineering, derivatives, or econometrics.
- Excellent written and verbal communications skills
What We Do
The Lee Kong Chian School of Medicine (LKCMedicine) trains doctors with a focus on patient-centered care, integrating precision medicine, Artificial Intelligence (AI) in healthcare, and medical humanities into its undergraduate medical degree program.
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