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