Apply Now for the Role of Research Assistant at IMF and Contribute to Economic Analysis and Data Management
Apply Now for the Role of Research Assistant at IMF and Contribute to Economic Analysis and Data Management. The International Monetary Fund (IMF) is seeking Research Assistants (Research Analysts) for their Washington, D.C. location. This is a full-time position posted over 30 days ago, and it’s an evergreen job posting, meaning they continually accept applications. The job requisition ID is 23-R4198. Apply Now for the Role of Research Assistant at IMF and Contribute to Economic Analysis and Data Management
Job Summary: The Research Assistants will be responsible for supporting the department’s objectives in economic analysis and managing information technology and systems. Their tasks include analyzing and computing statistical and economic data, managing Fund databases, and contributing to staff reports. Apply Now for the Role of Research Assistant at IMF and Contribute to Economic Analysis and Data Management
Apply Now for the Role of Research Assistant at IMF and Contribute to Economic Analysis and Data Management
Major Duties and Responsibilities:
- Compiling statistical data, comparing and evaluating alternative data sources, and ensuring data consistency.
- Computing data using statistical and econometric techniques and preparing summary analysis, including summary tables and charts for various reports.
- Developing and maintaining comprehensive cross-country databases and ensuring they meet Fund-wide data management requirements.
- Maintaining relevant computer software and writing, updating, modifying, and executing computer programs for statistical and econometric analysis.
- Initiating analytical work, particularly in econometric analysis, to support research papers and publications.
- Participating in departmental research projects and preparing targeted notes on selected issues relevant to the division’s/department’s work program.
- Participating in occasional departmental missions and collaborating with country authorities, academia, or financial institutions. Apply Now for the Role of Research Assistant at IMF and Contribute to Economic Analysis and Data Management
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Minimum Qualifications:
- Bachelor’s degree in Economics, Finance, Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field. Competitive candidates may have a Master’s degree in a relevant field.
- Two years of relevant work experience in a similar role.
- Proficiency in MS Excel, including basic functions and formulas.
- Proficiency in analytical, statistical, and econometric software packages like STATA, Eviews, R, TSP, SPSS, Matlab, and SAS.
Preferred:
- Experience in finance, budget, people analytics, macroeconomic data, and writing macroeconomic research reports.
- Proficiency in visual presentation tools like PowerPoint, MS Excel charts, Tableau, Keynote, Prezi, and similar tools.
- Familiarity with database management tools like Power BI, SQL, MS Access, IBM Cognos BI.
- Knowledge of programming tools like Python, C++, or similar.
Critical Competencies:
- Proven ability to manage large and complex databases and develop summary analysis, including tables and charts.
- Strong organizational and data management skills, with the ability to handle multiple responsibilities under tight time constraints.
- Ability to work independently, pay attention to detail, and take responsibility for data accuracy.
- Experience in dealing with various staff levels and responding to inquiries.
- Ability to handle confidential information with tact, discretion, and sound judgment. Apply Now for the Role of Research Assistant at IMF and Contribute to Economic Analysis and Data Management
The IMF is committed to promoting diversity among its staff, encompassing various factors such as age, creed, culture, disability, educational background, ethnicity, gender, gender expression, nationality, race, religion and beliefs, and sexual orientation. Apply Now for the Role of Research Assistant at IMF and Contribute to Economic Analysis and Data Management
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