Overview
Consultancy to support Financing for Development (FfD) activities, focusing on strengthening national and regional financing systems to accelerate progress toward the 2030 Agenda for sustainable development.
Key Responsibilities
- Map productive linkages and financing structure to identify sectoral interdependencies, bottlenecks, and opportunities.
- Estimate latent financing-space linkages to identify pathways for economic diversification and financing mobilization.
- Construct and align a high-dimensional proximity matrix across the production universe.
- Normalize and validate the matrix for modelling and network diagnostics.
- Develop a structural scoring framework to assess feasibility and identify products/sectors exposed to illicit financial flow risks.
- Design and implement a Python-based analytical framework for investment datasets.
- Apply data-driven analytical methods to identify patterns and relationships across sectors and products.
- Integrate product-level production indicators to assess economic trends and identify priority areas.
- Develop and apply econometric models to assess structural feasibility and upgrading potential.
- Generate and assess alternative upgrading pathways based on econometric modelling results.
- Other related tasks as requested by the Hiring Manager.
Required Experience
- A minimum of 1.5 years of professional work experience in analyzing macro-financing and industrial policy issues, particularly data-driven, microfinancing and econometric modeling.
- One year of previous work experience in research, data analytics, and data analysis.
- One year of experience in research, data extraction or using statistical tools.
Qualifications
- A master’s degree or equivalent in economics, finance, econometrics, business analytics, or related field is required.
- A first-level university degree in combination with qualifying experience may be accepted in lieu of the advanced university degree.
