Research Department Research Assistant Consultant

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Description

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• Assist researchers in the preparation of research papers, reports, and presentations.
•  Identify, compile, and organize databases.
•  Perform econometric and statistical analyses.
•  Prepare literature reviews.
• Participate in academic discussions on research findings.
• Provide support in project management or field experiments.

• Serve as an RA buddy to help the transition of a new RA (if required)
• Update the RAs onboarding document (if required)
• Attend Econnet seminars and other events (if required)
•  Represent the RAs team in departmental meetings (if required)
• Depending on the merit of the intellectual contribution to the research agenda, the Research Assistants Program sometimes provides RAs with the opportunity to co-author papers with RES researchers. The RES Research Assistants program is functionally similar to a pre-doc program in academic institutions. After working in RES, RAs typically go on to pursue their Ph.D. or master’s studies. In recent years, RAs have gone to Harvard, MIT, Berkeley, Columbia, University of Minnesota, University of Illinois at Urbana-Champaign, and others.

• Undergraduate degree in economics. Master’s degree in economics, public policy, or related field preferred. Candidates should have a strong quantitative background. Prospects of engaging in doctoral-level studies preferred.

• At least 2 years of experience in the following areas:
• In applied research at a recognized university, research center, or government agency
• Strong background in econometrics, mathematics, and statistics
• Experience in applied econometric methodologies
• Experience with econometric packages such as Stata, MATLAB, Dynare, R, QGIS, or EViews. Advanced programming level preferred
• Some basic programming experience (e.g., Fortran, Python, Perl, C) desirable

• Microeconomics. Demonstrated experience in any of the following areas: economics of education, health, housing, urban, environment, poverty and inequality, development, labor, microfinance, public finance, behavioral economics, or political economy. Use of household or labor force surveys, economic/population census, administrative tax records, an/or industry surveys in cross-section or panel formats. Experience with applied micro econometrics, causal inference methods, program evaluation, discrete choice models and/or estimation of structural model
• Macroeconomics, banking, and finance. Demonstrated experience in some of the following areas: open macro and international finance, monetary and fiscal policy, growth and development, productivity, debt sustainability analysis, banking, and finance. Experience in macroeconomics modeling, including VARs, Panel VARs, local projection methods, DSGE modeling or panel data methods for macroeconomics.

• Proficiency in English and one of the other Bank official languages (Spanish, French or Portuguese) is required. 

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