Thinking of a Career in Emergency Management?
- BY Nicole Pelette
Main duties and responsibilities will include but are not limited to:
• Support the design and implementation of the next phases of the infrastructure prioritization framework developed by The World Bank team in Singapore.
• Generate sector/periodic infrastructure analyses applying economic and econometric models using the PPI database, WB infrastructure data and other sources of information, including contributing to the preparation and dissemination of the same such as reports, papers and blog-posts.
• Advise World Bank Group teams and governments to address obstacles to investment in the infrastructure sector including investment planning and prioritization.
• Support and contribute to policy notes, studies, and reports on a range of infrastructure planning and finance issues
• Participate in the design, preparation and dissemination of analytical economic work and reporting, including economic modeling, policy and project analysis, and report writing;
• Contribute to the interpretation of analytical findings, formulation of key messages, and identification of evidence-based policy implications and recommendations;
• Contribute to presentations, reports, notes, and other knowledge products on infrastructure planning and finance.
• Minimum of a Master’s Degree in Economics with at least 5 years professional experience related to infrastructure projects (PhD Preferred).
• Technical Proficiency: Skills and experience in working on economic policy issues, data analysis, and economic modeling. Proven strong conceptual, analytical and quantitative skills in these areas.
• Communication and Team Skills: High level of personal and professional integrity. Self-starter. Strong ability to function well in a multi-cultural environment, and working in teams. Results-oriented personality with proven problem-solving skills, and strong communication skills, including written and oral.
• Computer Skills: Familiarity with econometric software such STATA (preferred), E-Views, SPSS, SAS or other statistical packages and MS Office programs, including Excel (advanced), is essential.
• Strong quantitative and analytical skills (essential).