The ASEAN+3 Macroeconomic Research Office (AMRO) has a vacancy for Research Analyst / Research Assistant in the Fiscal Surveillance Group. The successful candidate will report to the Group Head of Fiscal Surveillance and be responsible for supporting AMRO’s various macroeconomic surveillance and fiscal policy-related research activities.

Job Responsibilities:

  • Contribute to the preparation of AMRO studies and reports by providing and analyzing relevant data and statistics using various analytical tools, summarizing the results and findings, and providing any other necessary support required by the authors of those reports.
  • Contribute to all aspects of the production and outreach of AMRO’s publication, as directed by supervisors.
  • Support and generate data for the Fiscal Surveillance Group by keeping macroeconomic data updated and accessible by economists.
  • Develop and maintain documents (including electronic templates), databases, and automated dashboards to monitor economic and fiscal indicators, in Excel and other visualization tools.
  • Provide all other surveillance-related administrative and research support as directed by supervisors.

Institutional Responsibilities:

  • Participate in any institution-wide activity, such as AMRO’s internal committees or task forces, as assigned.
  • Perform any other duty as may be reasonably required in furtherance of AMRO’s overall goals.

The candidate should possess:

  • A bachelor’s degree in economics, public policy, international finance, business, statistics, or related fields from a reputable university; a postgraduate degree would be a plus.
  • Relevant work experience and knowledge in fiscal policy and related research, would be preferable.
  • Experience with fiscal and macroeconomic data, and in particular, with third-party mainstream economic databases such as CEIC, Haver Analytics, etc.; experience of working with Asian economics and fiscal data would be an advantage.
  • Familiarity with econometric packages such as EViews, Stata; ability to program in languages such as Matlab, R, Python, SQL would be a significant advantage; willingness and ability to quickly learn new tools and programming languages.
  • Strong data management and visualization skills.
  • Strong proficiency in Microsoft Office applications such as Excel and PowerPoint.
  • Strong motivation, initiative, and multitasking skills, with a results-oriented mindset and accountability for the accuracy of both data and information.
  • Excellent teamwork and communication skills to interact effectively with colleagues from diverse cultural backgrounds at all levels.
  • A high level of proficiency in both written and spoken English.

Applicants should submit the following to complete the job application.

  1. An updated CV.
  2. A brief description of all relevant academic qualifications and work experience.
  3. The earliest possible start date.
  4. Referee details.


The last day to apply to this position is April 22, 2024.

If you have any questions, please contact

We acknowledge the application submitted through this job application page. However, we regret to inform that only shortlisted candidates will be contacted via email.