Overview
The consultant will contribute to the development of analytical tools, socio-economic databases, and modelling frameworks to assess the macroeconomic implications of health financing and support evidence-based policymaking.
Key Responsibilities
- Develops and maintains socio-economic databases.
- Contributes to the development, refinement and maintenance of ECA’s macroeconomic modelling suite.
- Updates, harmonizes and constructs Social Accounting Matrices (SAMs).
- Interprets and applies modelling outputs.
- Drafts analytical inputs for working papers, technical reports, policy briefs.
- Identifies, reviews, and analyses economic policy proposals.
- Participates in and reports on international, regional and national meetings.
- Contributes to the development and operationalization of modelling software platforms.
- Designs and implements data processing tools.
- Supports the development of user interfaces and web-based tools.
- Prepares documentation and version control records for models, code, and analytical workflows.
- Designs and delivers training workshops and capacity-building activities.
- Contributes to the preparation, implementation, monitoring and evaluation of regional, national or sectoral technical cooperation programmes and projects.
- Performs administrative and coordination tasks.
- Engages in continuous learning.
- Produces data visualizations.
- Undertakes other duties as required.
Required Experience
- A minimum of seven (7) years of progressively responsible experience in economic research and analysis, macroeconomic policy formulation, and/or the application of economic principles in development programmes is required.
- A minimum of three years of hands-on experience in quantitative economic modeling and statistical programming using open-source platforms (e.g., Python, Julia, or R) as well as with object-oriented programming languages (e.g., C++ or Java) is required.
- Experience in the development, calibration, or application of macroeconomic models—such as IAM, DSGE, CGE, or hybrid macro-fiscal frameworks—is required.
- Demonstrated ability to use model-based approaches for forecasting, scenario simulation, and policy analysis is required.
- Experience in building and maintaining socio-economic databases, including the construction and harmonization of Social Accounting Matrices (SAMs), is highly desirable.
- Experience using version control platforms (e.g., Git, GitHub, or GitLab) and developing macro-fiscal projection tools or computational simulation models is highly desirable.
- Experience working on sectoral issues especially health across multiple country contexts is desirable.
Qualifications
An advanced university degree (Master’s degree or equivalent) in mathematics, statistics, engineering, computer science, or a related field is required. A multidisciplinary academic background with strong competencies in statistics, applied mathematics, econometrics, computer science, and/or machine learning methods is considered equivalent. A first-level university degree in the above fields, in combination with two additional years of qualifying experience, may be accepted in lieu of the advanced degree.
