Research Fellow (Finance/Economics/Risk Management/Insurance/Statistics)

About Nanyang Business School
Nanyang Business School (NBS) at Nanyang Technological University is a leading business school in Asia, known for its strong research in finance, economics, risk management, and data-driven social science. NBS promotes interdisciplinary, policy-relevant research using advanced empirical and computational methods.

Responsibilities:

• Conducting high-quality empirical research in areas such as financial risk, labor markets, and corporate finance.

• Developing and applying advanced quantitative and econometric methods, including the use of large-scale administrative data, machine learning and natural language processing techniques.

• Designing and implementing empirical research strategies, including quasi-experimental methods, risk measurement frameworks, and policy evaluation tools.

• Collaborating with faculty members and external researchers on joint research projects and grant-related initiatives.

• Preparing research manuscripts for submission to leading international academic journals.

• Presenting research findings at academic conferences, seminars, and internal workshops.

• Supporting the effective management of research projects, including meeting milestones and maintaining high academic standards.

Qualifications:

• Ph.D. in Finance, Economics, Risk Management, Insurance, Statistics, or a closely related discipline from a reputable institution.

• Demonstrate strong empirical research skills, with experience in applied econometrics and quantitative analysis.

• Show proficiency in working with large-scale datasets, including administrative, textual, or unstructured data.

• Have experience with programming and statistical software commonly used in empirical research (e.g., Python, R, Stata, MATLAB).

• Possess a strong research track record or clear potential for publications in high-quality academic journals.

• Demonstrate the ability to work independently and collaboratively in a research-intensive environment.

• Exhibit strong written and verbal communication skills

Interested applicants are invited to submit a cover letter / full CV / names and contact details of three referees/statement of research interest all in one document.

We regret to inform that only shortlisted candidates will be notified.