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Research Fellow (AI & Credit Risk Analytics)
NATIONAL UNIVERSITY OF SINGAPORE
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Research Fellow (AI & Credit Risk Analytics)
Job summary
A leading university in Singapore is seeking a Research Fellow to enhance credit risk products and lead innovative projects in fintech and AI. The ideal candidate holds a PhD in a related field such as Finance or Artificial Intelligence and possesses a robust research background in credit risk modelling. Candidates should demonstrate strong programming skills, particularly in Python or R, and have the ability to engage with stakeholders in both industry and academia. A competitive salary with a dynamic work environment is offered.
Qualifications
- PhD in a related field, such as Finance, FinTech, AI, or Computer Science.
- Strong research background in credit risk modelling.
- Solid quantitative and programming skills including familiarity with ML libraries.
Responsibilities
- Enhance AIDF–CRI Credit Risk Products.
- Upgrade existing credit risk products using AI/ML methods.
- Design and validate new modelling frameworks.
- Lead industry and academic projects on credit risk.
- Engage with stakeholders to deliver solutions.
Skills
Education
Interested applicants are invited to apply directly at the NUS Career Portal
Your application will be processed only if you apply via NUS Career Portal
We regret that only shortlisted candidates will be notified.
The Asian Institute of Digital Finance (AIDF) is a university-level institute at NUS focusing on digital finance, fintech innovation, and AI for financial services. AIDF works closely with industry, regulators, and academic partners. This position is attached to the Credit Research Initiative (CRI).
The Research Fellow will:
- Enhance AIDF–CRI Credit Risk Products
- Upgrade existing NUS AIDF–CRI products (e.g., probability-of-default models and analytics tools) using state-of-the-art AI/ML methods.
- Design, implement, and validate new modelling frameworks (e.g., deep learning, representation learning, generative AI, multimodal models).
- Work with technical teams to ensure robust deployment and maintenance of models in production.
- Lead Industry & Research Projects on Credit Risk
- Lead sponsored industry and academic projects on:
- Public firm credit risk
- SME/MSME credit risk
- Individual/consumer credit risk
- Engage with financial institutions, fintech firms, and regulators to scope problems and deliver implementable solutions.
- Produce high-quality outputs: journal/conference papers, technical reports, and industry whitepapers.
- Supervise and mentor junior researchers and/or students involved in related work.
- PhDin a related field, such as:
- Finance / Financial Engineering
- FinTech / Financial Technology
- Management Information Systems (MIS)
- Artificial Intelligence / Computer Science / Machine Learning
or a closely related discipline. - Strong research background in at least one of:
- Credit risk modelling (corporate, SME/MSME, or consumer).
- AI / machine learning applications in finance.
- Solid quantitative and programming skills (e.g., Python, R) and familiarity with ML libraries (e.g., PyTorch, TensorFlow, scikit-learn, LightGBM/XGBoost).
- Excellent written and spoken English.
- Ability to work collaboratively and interact with both academic and industry stakeholders.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.