E T Consultant

World Bank Group • Washington, DC

3d • Onsite

About The Position

The World Bank Group is seeking an experienced economist or data scientist to join the Micro Modeling Lab (MML), embedded within the Distributional Impact of Policies Global unit. The MML provides just-in-time assistance to regional teams working on the distributional impact of policy reforms, aiming to inform the Bank’s analytical and operational work. The role involves integrating distributional analysis into operational knowledge and lending, supporting WBG teams and governments with tools like fiscal incidence analysis and fiscal microsimulation to ensure policies reduce poverty and inequality. The consultant will lead the estimation of distributional impacts of policies and alternative reforms across multiple country case studies, collaborate with the Poverty team to enhance and scale existing approaches, and contribute to the development of analytical, microsimulation, and visualization tools. This position is for a one-year contract based in Washington, DC, with the possibility of extensions.

Requirements

• Master's degree (PhD preferred) or equivalent in Economics, Statistics, or a related field.
• A minimum of 5 years of relevant professional experience applying economic data, analytical tools, and models to conduct fiscal incidence analyses, with a demonstrated track record of producing high-quality results independently.
• Proven experience building and working with microsimulation models to assess the distributional impact of alternative policy reforms.
• Sound expertise in data analysis and programming in STATA.
• Demonstrated ability to work independently on complex analytical tasks, paired with strong collaborative skills 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.
• This internal requisition is open to WBG and IMF staff only (including short-term and extended term consultants/ temporaries).

Nice To Haves

• Experience working with both household and administrative data is desirable.
• 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.

Responsibilities

• Lead fiscal incidence analyses for different country teams, ensuring methodological rigor and compliance with standards and protocols defined by the Micro Modeling Lab. All coding protocols and data archiving should be shared through GitHub and SharePoint.
• Drive the integration of fiscal incidence analyses into a global microsimulation model for cross-country comparisons, taking ownership of key components and resolving technical challenges as they arise in close coordination with the broader team.
• Lead microsimulations of alternative reform scenarios and independently produce write-ups — including assumptions, methodological choices, and findings — communicating distributional impacts of reforms clearly to both technical and non-technical audiences.
• Make substantive contributions to the development, refinement, and improvement of standardized analytical, microsimulation, and visualization tools that support the Bank's analytical and operational work, drawing on demonstrated expertise to improve robustness and scalability.
• Actively engage and share knowledge with other World Bank teams working on related issues across sectors and Global Solution Groups, contributing to cross-practice learning on microsimulation approaches.
• Contribute to the global knowledge base of the department.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level