Research Analyst under the Research Analyst Program
International Monetary Fund
Washington, DC0–2 yrs1h agovia LinkedIn
About the Role
The International Monetary Fund (IMF) is seeking talented and motivated individuals for its Research Analyst Program (RAP). This program offers entry-level analyst experience and contributes to the IMF's research and analytical projects. The RAP is a two-year contractual period, with all positions located at the IMF Headquarters in Washington, D.C.
Key Responsibilities
- Support the operational and policy work of Fund economists.
- Conduct research.
- Collect and compile information.
- Access and manipulate macroeconomic data from a wide range of sources.
- Maintain and update economic, financial, and statistical databases.
- Conduct quantitative data analysis utilizing econometric and other statistical tools.
- Evaluate economic, financial, or statistical relationships in databases.
- Analyze economic time series data.
- Design systems to facilitate interfaces or to transfer data between external and in-house databases.
- Collaborate with economists and others on various projects.
- Stay up to date with the latest developments in economics and related topics.
- This opportunity may meet PREDOC requirements for applications to subsequent academic study.
Requirements & Tech Stack
- Microsoft Office (specifically Excel and PowerPoint)
- STATA
- EViews
- MATLAB
- Other statistical and analytical tools
- Python (desirable)
- R (desirable)
- Tableau (working knowledge)
- Other data visualization tools (familiarity with PowerBI, or Python/R based, or web design are desirable)
Qualifications
- Recent completion of a bachelor's degree in economics, computer science, statistics, mathematics, finance, data science, or other related quantitative field.
- Candidates with advanced degrees in the same relevant field may be considered with limited combined professional experience.
- A cumulative GPA of at least 3.5/4.0 (or equivalent for international diplomas) in both the principal field of study and in the overall program.
- Ability to work independently under minimum supervision and be accountable for the accuracy of both data and programs.
- Strong analytical and quantitative skills.
- Excellent written and verbal communication skills in English.
- Proficiency in other languages is a plus.