E T Consultant

The consultant will apply macro-micro simulation models to estimate distributional impacts of macroeconomic shocks and policy reforms, supporting the Poverty team in enhancing and scaling analytical tools. The role involves collaboration with global teams to develop standardized models and contribute to the department's knowledge base.

Responsibilities

• Undertake the application of macro-micro simulation models for different country teams, ensuring methodological rigor and compliance with standards and protocols defined by the Micro Modeling Lab.
• Collaborate on efforts to create standardized macro-micro simulation models to strengthen just-in-time analytics, helping to resolve technical challenges as they arise in close coordination with the broader team.
• Contribute to the development, refinement, and improvement of standardized analytical, microsimulation, and visualization tools that support analytical and operational work.
• Participate in activities and exchange information with other World Bank teams working on related issues across sectors and Global Solution Groups.
• Contribute to the global knowledge base of the department as part of the Poverty Global Practice.

Requirements

• Master's degree or equivalent in Economics, Statistics, or a related field.
• A minimum of 3 years of relevant professional experience applying quantitative methods and analytical tools to poverty and distributional analysis.
• Experience working with both household and administrative data is desirable.
• Experience with micro simulation methods to assess distributional impacts is desirable.
• Strong experience in data analysis and programming in STATA; proficiency in R and/or Python is considered a plus.
• Experience using Git or other code-sharing platforms for collaborative and reproducible workflows is desirable.
• Demonstrated ability to work independently on complex analytical tasks, paired with the ability to collaborate with others within multicultural and multidisciplinary teams.
• Excellent written, communication, and presentation skills in English, including the ability to convey complex analytical findings clearly to both technical and non-technical audiences.
• Experience working effectively with cross-functional teams.

Skills

• Quantitative Methods
• Distributional Analysis
• Poverty Analysis
• Micro Simulation Methods
• Data Analysis
• STATA Programming
• R Programming
• Python Programming
• Household Survey Analysis
• Administrative Data Analysis
• Git
• Collaborative Workflows
• Macroeconomic Modeling
• Policy Impact Evaluation
• Analytical Reporting
• Multidisciplinary Team Collaboration

Languages

English