Research Fellow (2-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).
• Produce high-quality academic research.
• Actively contribute to SKBI organized events (such as conferences) and participate in research grant/funding Applications.
• Assist the Director in research developments and training activities.
• Handle data collection, large data processing and large-scale data analysis.
• Conduct literature reviews and empirical analysis, implement advanced empirical models.
• Prepare project materials (e.g., presentations, progress reports, research outputs, grant documentations)
• Other duties as assigned.

QUALIFICATIONS

• PhD degree or postgraduate degree in relevant fields.
• A strong knowledge and research background in finance or economics.
• Ability to process big databases.
• A strong knowledge and research background in finance or economics.
• Excellent research skills, with preferred experience in banking, corporate finance, fintech and innovation,capital markets, AI and machine learning research.
• Excellent written and verbal presentation and communication skills.

OTHER INFORMATION

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The anticipated start date for this position is 1 April 2027 or later.

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