WBG Pioneer - Blended Finance Data Analytics Intern

WBG Pioneer - Blended Finance Data Analytics Intern

Job #: req37749 Organization: IFC Grade: T4 Location: Washington, DC,United States Hiring Manager:Elizabeth Kibirige Namugenyi
Required Language(s): English Preferred Language(s): Closing Date: 8/12/2026 (11:59pm UTC)

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.

WBG Pioneer

The International Finance Corporation (IFC) is the private sector arm of the World Bank Group and the largest global development institution focused exclusively on the private sector in emerging markets and developing economies. IFC operates in more than 100 countries and works with businesses, financial institutions, investors, and governments to create jobs and
As part of its strategy, IFC 2030, IFC is strengthening its role as a platform for private capital mobilization, helping to address development challenges by crowding in institutional and commercial investors at scale.

IFC's work focuses on creating and expanding markets, supporting private sector growth, and generating sustainable employment opportunities across key sectors including infrastructure, agribusiness, manufacturing, health, and tourism. Through investment, innovation, partnerships, and blended finance, IFC seeks to accelerate development impact while supporting job creation and economic resilience.

The Partnerships & Blended Finance (CBF) Department plays a critical role in advancing IFC's strategic objectives by mobilizing concessional catalytic capital and donor resources, managing relationships with bilateral and multilateral development partners, foundations, philanthropies, and other strategic stakeholders, and deploying blended finance solutions that help de-risk investments and attract private capital into high-impact projects. The department supports IFC's efforts to expand investment opportunities in frontier and emerging markets, particularly in areas where commercial financing alone is insufficient to address market barriers or perceived risk

The Portfolio Operations (CBFPO) unit in CBF oversees the integration of blended finance and fundraising operations into IFC’s systems and processes, strengthens portfolio supervision, improves operational efficiency, and provides analytics, automation, and reporting.

Duties and Responsibilities

• The Blended Finance Data Analytics Intern will be part of the CBFPO unit and will support data analytics, reporting automation, and the development of data-driven insights for Blended Finance and fundraising operations.

• Contribute to Blended Finance and Fundraising analytics by identifying trends, drivers, performance patterns, and forward-look recommendations to Management.

• Apply advanced data analytics, visualization, and AI-enabled techniques to generate insights from Blended Finance and Fundraising data.

• Explore opportunities to leverage artificial intelligence (AI), machine learning, and generative AI solutions to improve data quality and data gaps.

Selection Criteria

• Candidates must be currently enrolled in, or in the final year of, a postgraduate (master’s/PhD) program

• Demonstrated experience through coursework, academic research, internships, or employment in financial services, investment analysis, data analytics, or related disciplines.

• Understanding of financial products, investment processes, financial institutions, capital markets, or development finance.

• Strong analytical and quantitative skills, with experience working with large and complex datasets.

• Experience with data visualization and business intelligence tools, particularly Power BI.

• Knowledge of artificial intelligence (AI), machine learning, generative AI, data automation, and advanced analytics tools and their practical application to business problems.

• Academic background must align with the requirements outlined in the job description

• Demonstrated interest in development work and the World Bank