Research Fellow (3-year contract), SKBI

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

This position is for Sim Kee Boon Institute for Financial Economics (SKBI).

Support the data work, empirical analysis, and literature synthesis of research projects on digital transformation in financial intermediation and corporate innovation. The role is programming-intensive and centres onlarge-scale and unstructured data and on advanced empirical models.

Collect, clean, and structure large-scale data, including unstructured data such as text, web pages, patents, and app-usage records, from administrative, commercial, and online sources.

Write efficient, well-documented, and reproducible code in Python, R, or Stata.

Design and implement advanced empirical models, including causal inference methods (e.g., difference-indifferences, instrumental variables, field experiments.

Conduct targeted literature reviews.

Prepare project materials (e.g., presentations, progress reports, research outputs, grant documentation).

Organize events (such as conferences).

Any other tasks assigned by the Principal Investigators of the project.

QUALIFICATIONS

• PhD or master's degree in finance, economics, computer science, statistics, or a related quantitative field.
• Strong programming skills in Python, R, or Stata, with hands-on experience processing large databases.
• Demonstrated experience working with unstructured data, such as text, web, audio, or image data.
• Solid training in empirical methods, especially causal inference; experience with machine learning and structuralestimation is a plus.
• Strong knowledge of and research background in finance or economics.
• Excellent research skills; experience in banking, fintech, or innovation research is preferred.
• Strong written and oral communication skills, including presentations.

OTHER INFORMATION

#LI-KC1

The anticipated start date for this position is 4 January 2027 or later.

Please note that your application will be sent to and reviewed by the direct employer - Singapore Management University