WBG Pioneer - Macroeconomic Modeling and Fiscal Analytics Intern

WBG Pioneer - Macroeconomic Modeling and Fiscal Analytics Intern

Description

WBG Pioneers, the World Bank Group’s Internship Program, offers undergraduate and postgraduate students a high impact learning experience at the heart of global development. Participants gain hands on experience in a diverse and dynamic environment, contribute fresh perspectives and innovative ideas, and connect with international professionals working to end poverty on a livable planet. The World Bank Group (WBG) is a leading source of finance and knowledge for developing countries. Its Fiscal Policy and Growth (FPG) vertical supports sound macroeconomic and fiscal policy, domestic revenue mobilization, efficient public spending, and fiscal-risk management. EAEM2 leads FPG's Eastern Africa program, including Burundi.

In Burundi, FPG anchors policy dialogue with the Ministry of Finance, central bank (BRB), and revenue authority (OBR). The program uses a country-specific CGE model, CEQ fiscal-incidence analysis, BOOST budget-execution data, and emerging AI-assisted analytics. The internship covers (i) CGE and DSGE modeling, (ii) BOOST and AI-assisted fiscal analytics, and (iii) knowledge and database management. Working with the Senior Country Economist and country team, the intern will gain hands-on experience with advanced economic analysis in a low-income setting.

Duties and Responsibilities

The intern will support the Burundi macro-fiscal program through the following tasks:

•CGE modeling and extensions. Run fiscal, exchange-rate, trade, and sectoral simulations; document assumptions and results; update the input-output tables and social accounting matrices, calibration, elasticities, and selected model blocks; and prepare tables and charts. •DSGE modeling. Support the literature review, specification, calibration or estimation, coding, solution, and documentation of a small open-economy model for Burundi using Dynare/MATLAB, Julia, or Python. •BOOST and AI-assisted fiscal analytics. Clean and analyze budget-execution data; develop diagnostics, anomaly detection, revenue forecasts, and dashboards; and test and document AI-assisted workflows. •Knowledge and database management. Maintain macro-fiscal databases and a validated register of key indicators; improve reusable templates and AI-enabled agents; and document data sources, model versions, and tools. •Contribute inputs from these workstreams to FPG flagship and surveillance products (Macro Poverty Outlook, Burundi Economic Update, and follow-up work on the Public Finance Review and Country Climate and Development Report), and undertake related tasks as assigned.

Selection Criteria

•Current enrollment in, or final-year completion of, a postgraduate master's/PhD program in economics or a related quantitative field. •Strong macroeconomics training; CGE or DSGE coursework or research strongly preferred. •Proficiency in at least one of GAMS, Dynare/MATLAB, Julia, Python, R, or Stata, plus advanced Excel. •Interest in AI-enabled economic analysis, data pipelines, or research workflows is an asset. •Strong analytical, research, communication, teamwork, organizational, and problem-solving skills, including ability to meet tight deadlines. •Ability to work effectively in diverse, team-based environments •Commitment to development and the WBG mission; English proficiency required.

Note: Please limit your applications to a maximum of three positions. Applications exceeding this limit will not be considered. WBG Culture Attributes: 1. Sense of urgency: Anticipate and quickly respond to the needs of internal and external stakeholders.2. Thoughtful risk-taking: Challenge the status quo and push boundaries to achieve greater impact.3. Empowerment and accountability: Empower yourself and others to act and hold each other accountable for results.

The World Bank Group values diversity and encourages all qualified candidates who are nationals of World Bank Group member countries to apply, regardless of gender, gender identity, religion, race, ethnicity, sexual orientation, or disability. Sub-Saharan African nationals, Caribbean nationals, and female candidates are strongly encouraged to apply.