E T Consultant

World Bank GroupWashington, DC
Onsite

About The Position

The World Bank Group is seeking an E T Consultant to join the Prosperity Vertical, specifically within the Distributional Impact of Policies Global unit (Poverty team). This team focuses on integrating distributional analysis of reforms and investments into operational knowledge and lending. The consultant will support WBG teams and governments with tools like macro-micro simulation modeling and poverty mapping to ensure policies and programs reduce poverty and inequality. The role involves estimating the distributional impacts of macroeconomic shocks, structural changes, and policy reforms across multiple country case studies, and collaborating to enhance, adapt, and scale existing approaches using best practices in programming and tool development. The Micro Modeling Lab, embedded within this unit, provides just-in-time assistance to regional teams on the distributional impact of policy reforms, aiming to inform analytical and operational work and ensure intervention design considers poverty and distributional impacts.

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.
  • Strong experience in data analysis and programming in STATA.
  • 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.
  • 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.
  • Experience with micro simulation methods to assess distributional impacts 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

  • Undertake the application of macro-micro simulation models for different country teams, ensuring methodological rigor and compliance with standards and protocols defined by the MML. All coding protocols and data archiving should be shared through GitHub and SharePoint.
  • 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.
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