2025 Research Analyst Opportunity At The International Monetary Fund (IMF)! APPLY NOW!

Location: Washington, D.C., USA
Time Type: Full-Time
Job Posting Date: 12 Days Ago
Job Requisition ID: 25-R7778
Last Date to Apply: December 31, 2025

APPLY NOW ON THIS OFFICIAL SITE!

The International Monetary Fund (IMF) is currently seeking dynamic and highly motivated Research Analysts (RAs) to join its team. The selected candidates should possess strong quantitative and analytical skills and have a proven ability to work both independently and as part of a team. The Research Analyst will provide critical support for a range of tasks, including data gathering, econometrics, economic analysis, and programming for high-quality analysis. This is a contractual position for one year, which may be renewed for up to four years, contingent on business needs and performance.

The Research Analyst role is integral to the IMF’s objective of providing economic analysis and managing information technology systems that support the organization’s initiatives. The successful candidates will focus on compiling statistical data, performing econometric techniques, and maintaining cross-country databases to support IMF research efforts. This position is specifically open to candidates residing in the Metropolitan Washington, D.C. area.

Job Summary:

As a Research Analyst, the incumbent will provide essential support to the department’s objectives by analyzing and computing statistical and economic data. This analysis will underpin the department’s research projects, publications, and policy recommendations. The RA will also manage the Fund’s databases and contribute to reports and papers that support the IMF’s global economic initiatives.

Key Responsibilities:

1. Data Compilation and Analysis:
   • Gather statistical data from multiple sources and evaluate alternative data sources for consistency and reliability.
   • Perform econometric calculations and create summary analyses that include tables and charts for various reports.
2. Database Management:
   • Develop and maintain comprehensive cross-country databases, ensuring they meet Fund-wide data management requirements.
   • Collaborate with colleagues to update and ensure consistency across large data sets.
3. Econometric and Statistical Analysis:
   • Write, update, and execute computer programs for statistical and econometric analysis.
   • Conduct detailed econometric work to support research papers and reports within the department.
4. Research Participation:
   • Participate in divisional or departmental research projects and contribute analytical insights to the production of reports, papers, and publications.
   • Occasionally participate in departmental missions and interact with country authorities, academia, or financial institutions.

Minimum Qualifications:

• Bachelor’s degree in Economics, Finance, Statistics, Mathematics, Computer Science, Data Science, or any related quantitative field. Master’s degree candidates in a relevant field are preferred.
• Two years of relevant work experience in a similar role, which involves the analysis of economic or statistical data sets.
• Proficiency in MS Excel, including basic functions and formulas.
• Proficiency in the use of analytical, statistical, and econometric software packages, such as STATA, EViews, R, TSP, SPSS, Matlab, and SAS.

Preferred Qualifications:

• Experience working with finance, budgeting, macroeconomic data, and writing macroeconomic research reports.
• Knowledge of visual presentation tools such as PowerPoint, Excel charts, Tableau, Keynote, and Prezi.
• Familiarity with database management tools like Power BI, SQL, MS Access, and IBM Cognos BI.
• Proficiency in Python, C++, or similar programming languages.

Core Competencies:

• Data Management: Strong ability to manage large, complex databases and perform detailed analysis, including creating summary tables and charts.
• Analytical Skills: Ability to conduct in-depth econometric analysis, apply statistical techniques, and interpret data accurately.
• Organizational Skills: Ability to manage multiple tasks, adhere to deadlines, and manage responsibilities under tight time constraints.
• Independence: Capacity to work without direct supervision, ensuring accuracy and attention to detail.
• Communication Skills: Ability to present findings clearly, and respond effectively to inquiries from various levels of staff.
• Confidentiality: Ability to handle sensitive information with discretion and integrity.

Additional Information:

• The IMF is committed to providing equal employment opportunities and operates under the principle that employment decisions are made without discrimination. The Fund welcomes requests for reasonable accommodations during the selection process, which will be provided as needed.
• The Research Analyst position is intended to support the IMF’s mission of enhancing global economic stability and fostering international cooperation. As part of a global team, the Research Analyst will help shape the future of international economic policies and analysis.

Why Work at IMF?

Working with the IMF offers the chance to contribute to global economic stability and international development. The Research Analyst position provides an excellent opportunity for candidates interested in macroeconomic research, economic data analysis, and statistical modeling to apply their skills in a highly impactful way. The IMF also offers competitive benefits and professional growth opportunities, including collaboration with leading economists, policymakers, and financial institutions worldwide.

How to Apply:

APPLY NOW ON THIS OFFICIAL SITE!

Interested candidates should submit their applications before the closing date, which is December 31, 2025. Only complete applications will be considered.

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Keywords: Research Analyst, IMF, Economic Analysis, Statistical Data, Econometrics, Quantitative Skills, Data Management, Econometric Software, Macroeconomic Data, Programming, Excel, R, STATA, SAS, Data Science, Power BI, Statistical Software, Research Projects, Financial Institutions, Python, C++, Database Management.

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