The Fund seeks dynamic and highly motivated Research Assistants with strong quantitative and analytical skills. The successful candidates should have the proven ability to work independently, as well as collaboratively in a team environment. The Research Assistants will be responsible for a wide range of support including, but not limited to, data gathering, econometrics, analysis of economic or statistical data sets, and basic programming for high-quality analyses.
This is a contractual appointment for one year, renewable for up to four years of cumulative contractual service, depending on the business need and performance of the incumbent.
Research assistant positions are filled with candidates physically residing in the local Metropolitan Washington, D.C. area.
- Bachelor’s degree in Economics, Finance, Statistics Mathematics, Computer Science or other related quantitative field, but more competitive candidates would 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 the use of analytical, statistical and econometric software packages such as STATA, Eviews, TSP, SPSS, Matlab and SAS.
- Experience working with macroeconomic data and writing macroeconomic research reports.
- Experience and ability to use a range of visual presentation tools such as MS Excel charts, Tableau, Keynote, Prezi and other similar tools.
- Familiarity with database management tools such as: SQL, MS Access, IBM Cognos BI
- Knowledge of Python, C++, R and other similar programming tools would be a plus.
In addition, the following competencies are critical to the position:
- Proven ability to manage large and complex databases and develop summary analysis, including summary tables and charts, and sound analytical and problem-solving skills including a knowledge of statistical applications and techniques.
- Sound organizational and data management skills, and ability to handle several responsibilities and work under tight time constraints.
- Ability to work without direct supervision, paying close attention to detail and bearing independent responsibility for data accuracy.
- Proven experience in dealing with all levels of staff in responding to a wide range of inquiries.
- Ability to use tact, discretion, and sound judgment when dealing with clients and in handling confidential information.
The IMF is committed to achieving a diverse staff, including gender, nationality, culture and educational background.