WBG Pioneer

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.