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Singapore Management University

Research Associate/Fellow (1-year contract), School of Accountancy

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Job Description

Job Description

  • Provide research assistance for the Tier 2 research project.
  • Compile and clean data from various sources, construct empirical measures.
  • Data analysis and statistical analysis of the research studies.
  • Compile information and write research reports.
  • Assist to prepare manuscripts for publication in targeted journals.
  • Any other research-related work assigned.

Qualifications

  • PhD or Master's degree in Computer Science, Information System, Economics, Business or related fields (with substantial computing/programming training).
  • Undergraduate or Master degree and research experience in Accounting / Finance / Economics / Statistics is a plus.
  • Knowledge of computer science foundations and fundamental / information studies.
  • Knowledge in programming languages, knows how to work with operating systems and how to maintain databases, especially in Big Data Management.
  • Knowledge in accounting, in particular, the ability to understand financial reports.
  • Experience/training in accounting, finance, business, or economics research able to collect data from various resources.
  • Competency in the use of statistics in research.
  • Ability in using and/or programming using statistical software (e.g. SAS, Stata, Python).
  • Ability to handle a high volume of quantitative work, with attention to details.
  • Excellent oral, interpersonal and written communication skills.

  • Provide research assistance for the Tier 2 research project.
  • Compile and clean data from various sources, construct empirical measures.
  • Data analysis and statistical analysis of the research studies.
  • Compile information and write research reports.
  • Assist to prepare manuscripts for publication in targeted journals.
  • Any other research-related work assigned.

More Info

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About Company

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.

Job ID: 148321271

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Skills:

SASProgramming LanguagesPythonStatistical AnalysisData AnalysisStataBig Data Management