Work for the IMF. Work for the World.

DESCRIPTION:

The Statistics Department (STA) of the IMF, and the IMF Southeast Europe Regional Technical Assistance Center (SEETAC), have an opening for a Real Sector Statistics Advisor (RSSA) based in Rome, Italy. The RSSA will oversee and undertake capacity development support in real sector statistics in 7 countries (Albania, Bosnia and Herzegovina, Kosovo, North Macedonia, Moldova, Montenegro, and Serbia) and regional agencies covered by the Office. The RSSA’s initial appointment would be for a period of one year with the possibility for extension up to three years, contingent on performance, ongoing budget/business need, and management approval.

DUTIES AND RESPONSIBILITIES

The successful candidate is required to:

Develop an annual work program and manage support on statistical capacity development (CD) in national accounts, price indices, and other real sector statistics;

Coordinate CD activities with the relevant IMF Departments and, where appropriate, with other international institutions and bilateral agencies involved in providing technical assistance and training in real sector statistics;

Conduct country technical assistance missions and provide regional training primarily in national accounts and price statistics but also in other areas of real sector statistics as needed;

Manage and backstop missions by short-term experts;

Apply IMF standards and policies (and STA guidelines) in documenting CD activities; monitor the implementation and evaluation of CD activities in the IMF Capacity Development Management and Administration Program (CDMAP) IT portal; and

Contribute to reports prepared for the SEETAC Steering Committee, as well as to other publications and outreach activities that promote SEETAC and STA’s CD program and provide visibility for SEETAC’s contributing development partners.

The RSSA will work under the general direction of the SEETAC Director and the technical direction of STA at IMF headquarters. He/she should expect to travel within the region and to interact frequently with country authorities, including remotely. The RSSA will focus on TA and associated customized training while general training will continue to be delivered by and in collaboration with the IMF Institute Training at Joint Vienna Institute (JVI).

QUALIFICATIONS

The successful candidate would have:

Expert knowledge in real sector statistics. Experience in at least one of the following macroeconomic statistics frameworks: balance of payments/international investment position statistics, government finance and public sector debt statistics, or monetary and finance statistics is considered an asset.

Proven expertise in national accounts methodology and compilation, demonstrated by at least ten years of relevant professional experience.

An advanced degree (Masters’ or PhD) in economics, statistics, or related field.

Excellent oral and written communication skills in English.

Strong relationship management, negotiating and influencing skills, as developing relations with national authorities are critical for the position.

An ability to organize and coordinate capacity development support (both technical assistance and training) with the relevant IMF Departments, short-term experts, and with other international institutions and bilateral agencies is also essential.

Strong drive for results with the ability to work on various projects under tight deadlines.

Female candidates and nationals of the IMF”s underrepresented regions (Sub-Saharan Africa, East Asia and Middle East and North Africa) are encouraged to apply. 

Only shortlisted candidates will be contacted.

Department:

STARE Statistics Department Real Sector

Hiring For:

A11, A12, A13, A14

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. Information on how to request accommodations will be provided during the application process.