Job Description

[What the role is]

You will work with a team of economists to conduct research, as well as surveillance and assessments of global economic and financial developments, with scope to undertake independent research projects aligned with MAS’ policy priorities.

[What you will be working on]

You will be part of the Labour and Research Division within the Economic Policy Group of MAS, contributing to in-depth research and analysis of macroeconomic and financial issues relevant to Singapore, including the use of big data, machine learning, artificial intelligence (AI), and other non-traditional data sources for economic and econometric analysis.

You will work with a team of economists to conduct research, as well as surveillance and assessments of global economic and financial developments, with scope to undertake independent research projects aligned with MAS’ policy priorities.

In this role, you will apply conceptual economic frameworks and econometric methods to analyze policy issues, prepare regular reports and briefings on economic developments to support the monetary policy process, and present your findings to MAS management, policymakers, and visiting academics or external experts.

[What we are looking for]

• PhD or (Research) Master’s degree in Economics or a closely related field

• A background in theoretical and empirical macroeconomics, as well as a good understanding of Singapore’s economic policy context

• Substantial experience in quantitative economic or financial analysis, and a proven track record of conducting independent research

• Good writing and presentation skills in English, as well as good interpersonal skills

• A strong interest in contributing to public policymaking in Singapore

• Programming skills in one or more of the following languages or software packages: EViews, MATLAB, Stata, Python or R

This is a 1-year contract position. As part of the shortlisting process for this role, you may be required to complete a medical declaration and/or undergo further assessment.

All applicants will be notified on whether they are shortlisted or not within 4 weeks of the closing date of this job posting.