Work for the IMF. Work for the World.
The International Monetary Fund has an immediate opening for a Data Management Analyst/Sr. Data Management Analyst (e-learning developer) to support its online learning program. The IMF provides training to member country officials on topics spanning from macroeconomic analysis to monetary and fiscal policy, macro-financial linkages, balance of payments issues, financial markets and institutions, as well as statistical and legal frameworks in these areas. The IMF’s online program aims at expanding the volume of training to member country officials while sharing knowledge with a wider audience through free massive open online courses (MOOCs) and other online learning modalities.
Description:
Under the general supervision of the ICDIP management, the ideal candidate will have a strong background in content development and eLearning best practices and will be responsible for developing and implementing engaging and interactive eLearning content that meet the needs of the IMF and its target audience. The selected candidate will have the following main duties and responsibilities:
The selected candidate will be part of the team delivering the IMF’s online learning program and is expected to contribute to the overall work program of the team and of the division.
Qualifications:
The candidate should have:
This is a one-year contractual appointment with the International Monetary Fund. Contractual appointments are renewable for up to four years of cumulative service, pending continuous business need and incumbent's performance.
Only candidates residing in the local D.C. metropolitan area can be considered.
Department:ICDIP Institute for Capacity Development Institute Training Program
Hiring For: A06, A07, A08
The IMF is committed to achieving a diverse staff, including age, creed, culture, disability, educational background, ethnicity, gender, gender expression, nationality, race, religion and beliefs, and sexual orientation. We welcome requests for reasonable accommodations for disabilities during the selection process.