Research Associate (AI Risk) Full-time

Research Associate Position at Nanyang Business School

Nanyang Business School (NBS) is seeking a Research Associate to advance cutting-edge research at the intersection of AI risk, LLM supply chain security, and insurance innovation. The candidate will engage in frontier research on AI risk modeling, LLM reliability, systemic risk propagation, and emerging insurance frameworks for AI ecosystems.

The Research Associate will play a critical role in advancing research at NBS, working closely with a multidisciplinary team of researchers and industry partners. The appointee will contribute to designing, prototyping, and validating quantitative models that enable secure, trustworthy, and insurable deployment of large language models (LLMs) across industries. The Research Associate is expected to produce high-impact research, present findings at academic and professional venues, and publish results in leading academic journals.

Duties and responsibilities include:

• Leading and contributing to research on LLM supply chain risk quantification, AI model reliability, and AI insurance frameworks.
• Designing, implementing, and validating the LLM Risk Quantification and Insurance Support Engine.
• Developing quantitative and actuarial models to translate AI system vulnerabilities and operational risks into measurable metrics relevant for insurance underwriting, pricing, and capital modeling.
• Collaborating with multidisciplinary teams across Nanyang Business School and partner institutions.
• Producing high-quality research outputs, including journal articles, conference papers, and technical reports.
• Supporting the preparation of grant proposals, research reports, and stakeholder presentations.
• Presenting research findings at academic conferences, industry seminars, and workshops.
• Publishing research outcomes in top-tier academic journals.
• Upholding research integrity, project timelines, and deliverables.

Key competency and qualifications requirements include:

• A master's degree in Actuarial Science, Risk Management, Finance, Computer Science, Statistics, or a closely related discipline.
• Interdisciplinary working experience in AI, finance, and risk management.
• Proven research experience with a solid track of publications in top-tier journals.
• Technical competencies in programming languages for data analysis and modeling, AI/ML model evaluation, risk metrics, or reliability analysis.
• Experience with quantitative or actuarial modeling, simulation, or loss distribution modeling.
• Ability to translate complex technical risk indicators into financial and insurance-relevant insights.
• Strong attention to detail, strong collaborative skills, exceptional written and verbal communication skills, and high standards of research integrity.

Interested applicants are invited to submit a cover letter / full CV / statement of research interests in one document. We regret to inform that only shortlisted candidates will be notified.

Hiring Institution: NTU