Research Fellow (3-year contract), SKBI

Job Description

• This position is forSim 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.

• This position is forSim 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.