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Short-Term Consultant: Economist

Job in Washington, District of Columbia, 20022, USA
Listing for: IFC - International Finance Corporation
Seasonal/Temporary position
Listed on 2026-01-27
Job specializations:
  • Finance & Banking
    Data Scientist
  • IT/Tech
    Data Analyst, Data Scientist
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

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International Finance Corporation (IFC), a member of the World Bank Group, is the largest global development institution focused on the private sector in emerging markets. We work in more than 100 countries, using our capital, expertise, and influence to create markets and opportunities in developing countries. In fiscal year 2025, IFC committed a record $71 billion to private companies and financial institutions in developing countries, leveraging private sector solutions and mobilizing private capital to create a world free of poverty on a livable planet.

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The Development Impact Measurement Department (CDI) at IFC is composed primarily of economists and results measurement specialists and works closely with IFC industry groups to identify opportunities and solutions for private sector development, formulate sector priorities and strategies, and provide rigorous analytical support throughout the project cycle. The CDI department is primarily tasked with implementing the Anticipated Impact Measurement and Monitoring (AIMM) framework for ex‑ante assessment of investment and advisory projects, ensuring high‑quality economic input for structuring, appraising, and monitoring projects, and developing sector economic analyses that inform strategies and enhance IFC’s impact reporting.

Within CDI, specialized sub‑teams collaborate with each of IFC’s industry groups:
Infrastructure (INR), Manufacturing and Agribusinesses (MAS), Financial Institutions Group (FIG), and Disruptive Technologies, Services, and Funds (CSF). The CDIDF unit within CDI partners works in collaboration with CSF, covering investments in early‑stage disruptive technology startups, Fin Tech startups, Telecom and Media companies, as well as Venture Capital and Private Equity funds.

CDIDF is offering a Short‑Term Consultant (STC) position for 80‑100 days, starting February 1, 2026. The STC will support data collection on IFC’s clients in the Disruptive Technologies and Funds space, in addition to performing data management, processing, and analytics to strengthen decision‑making and sector insights. The STC will report to Liliana Olarte (Economist – Disruptive Tech., Fin Tech, and VC Funds).

RESPONSIBILITIES

& DELIVERABLES
  • Support CDIDF’s results measurement efforts, mainly:
    • Implementing data collection strategies to assess the development impact across CSF’s portfolio.
    • Establishing and maintaining comprehensive databases to track development impact within CSF’s portfolio.
    • Streamlining the consolidation and reporting processes for essential WBG scorecard indicators.
  • Assist in articulating and measuring the economic impacts of IFC projects in the venture capital, disruptive technologies, and private equity sectors.
  • Help conduct analytical studies that can support IFC’s impact reporting and analytical sector studies.
  • Support economic and econometric research across various sectors of coverage.
  • Support the preparation of briefs, reports, and presentations to various stakeholders including senior management and the Board as well as external stakeholders.
  • Supporting annual monitoring and terminal assessments for ongoing projects.
  • SELECTION CRITERIA
    • Master’s degree in Economics or similar field with solid training in quantitative and qualitative research methods as well as Data Science.
    • At least 5 years of relevant experience working in data analytics, data science, statistics, or related fields.
    • Experience and knowledge of data science, data analytics and econometrics is required, including:
      • Prior experience designing and monitoring quantitative and qualitative data collection, including questionnaire design and use of data collection software.
      • Strong understanding of data creation and management principles and ability to write clean, efficient, and well‑documented code from scratch in R and Python.
      • Ability to create visualizations and dashboards using RShiny/Power

        BI (or similar software) for communicating results with internal and external clients.
      • Ability to interpret outputs from econometric and other quantitative research methods and specify…
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