Micro Modeling Economist for Policy & Poverty Analytics

The World Bank Group; Washington (District of Columbia); On-site; USD 90,000 - 130,000; Full time

Job summary

World Bank Group in Washington, DC seeks an E T Consultant to conduct distributional analysis using macro-micro simulations. The role focuses on poverty impacts, macro shocks, and policy reforms, supporting country teams with rigorous quantitative work.

The consultant will develop tools, collaborate with Poverty economists, and apply best practices in programming and data analysis, contributing to evidence-based policy design.

Qualifications

• Master's degree in Economics, Statistics or a related field is required.
• At least 3 years of experience applying quantitative methods to poverty analysis.
• Experience with micro-simulation methods to assess distributional impacts.
• Strong programming in STATA; proficiency in R and/or Python is a plus.
• Experience using Git or similar platforms for reproducible workflows.

Responsibilities

• Apply macro-micro simulation models for country teams with methodological rigor.
• Collaborate to create standardized models and resolve technical challenges.
• Develop and improve analytical, microsimulation, and visualization tools.
• Engage with World Bank teams across sectors and Global Solution Groups.

Skills

STATA

R

Python

Git

Poverty analysis

Education

Master's degree in Economics or related field

Tools

Git

Job description

World Bank Group in Washington, DC seeks an E T Consultant to conduct distributional analysis using macro-micro simulations. The role focuses on poverty impacts, macro shocks, and policy reforms, supporting country teams with rigorous quantitative work.

The consultant will develop tools, collaborate with Poverty economists, and apply best practices in programming and data analysis, contributing to evidence-based policy design.