Research Analyst​/Senior Research Analyst - SPRRU

Work for the IMF. Work for the World. The Strategy, Policy, and Review Department’s (SPR) Macro-Risk Unit works on assessing global and domestic risks across a range of economic sectors for all countries in the membership. The group is fast‑paced, innovative, and technology‑focused. Research assistants (RAs) provide critical support to the unit, ingesting and managing data, developing and interpreting cutting‑edge analytical tools for risk assessment, and creating and maintaining a suite of data visualization tools to communicate complex machine‑learning model output and other analytical work internally and externally.

The successful candidate will be the lead of other RAs in the unit and coordinate work across dedicated and part‑time RAs.

• Design, build, document, and maintain systems to ingest and transform external and in‑house data series with careful attention to source definitions, transformations, and vintages.
• Import, process, consolidate, and transform data sets within and between databases using statistical and/or econometric techniques, typically requiring programming.
• Analyze economic, financial, or statistical relationships in databases, identifying key relevant data series and novel datasets.
• Use text analysis and natural‑language processing techniques to retrieve relevant information from documents.
• Develop and maintain innovative data visualization tools to communicate complex nonlinear model results to economists.
• Participate in the design and estimation of innovative risk assessment models to track emergent global and country‑specific risks.
• Prepare PowerPoint presentations collecting the work of the unit.
• Carry out other assignments as instructed by the Unit Chief or Deputy Unit Chief.

• Completion of a university degree (or equivalent) in economics, finance, statistics, computer science, or a related field of study.
• Proficiency in Excel and strong Word and PowerPoint skills.
• Strong programming skills in Python, R, Stata, and MATLAB.
• Expertise in empirical forecasting, especially with tree‑based and boosted models, ideally with experience in machine learning time‑series panel estimation, model design, and evaluation.
• Knowledge of macroeconomic theory and concepts; experience with macroeconomic and financial crises is a plus.
• Strong knowledge of data visualization tools, especially PowerBI.
• Experience contributing to academic or policy‑oriented economic research is a plus.
• Innovation, creativity, strong communication skills, and drive for results.
• Ability to lead a team of dedicated and part‑time RAs through complex, multi‑stage processes and prioritize key work processes and objectives.

Only candidates who are currently residing in the Washington DC metro area will be considered.

This vacancy shall be filled by a 3‑year Term appointment in accordance with the Fund’s employment rules. This term position, while extendable for up to 3 years, is not viable for conversion to open‑ended staff.

The IMF is guided by the principle that the employment, classification, promotion, and assignment of staff shall be made without discrimination against any person. We welcome requests for reasonable accommodations for disabilities during the selection process.