Portfolio Data & Results Consultant

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Date: Jun 22, 2026

Location: Incheon, South Korea (ICN), KR

Company: Green Climate Fund

About the Green Climate Fund

The Green Climate Fund is the world’s largest dedicated multilateral climate fund and invests in impactful, innovative, catalytic programs and projects in developing countries across the globe. The GCF has a portfolio of 353 projects across 134 countries, with a total commitment of USD 20.2 billion to date.

In 2023, an additional USD 12.8 billion was pledged, to support our new strategic and programming cycle from 2024-2027; our ambition is to grow to become at least a USD 50 billion fund by 2030. Rooted in the core objectives of impact and efficiency, access and a focus on the most vulnerable, and mobilizing a much higher scale of public and private sector financial flows for climate action we have an unparalleled scale of resources, which, together with our risk appetite and flexibility allows us to bring together different partners and stakeholders in innovative partnerships for profound impact.

GCF is seeking a top-tier individual with a demonstrable track record of harnessing experience, energy and networks to tackle complex global climate change challenges. You will be committed to making a positive, measurable difference through a mission-driven role, and thrive in a fast-paced, diverse environment. You will be able to quickly scan and analyze complex, competing issues and lead significant sized teams to find solutions in evolving contexts, across multiple geographic locations.

Role

The Green Climate Fund seeks a Portfolio Data & Results Consultant to serve as a critical technical contributor to DMEL's data and reporting deliverables. The Consultant will leverage advanced analytics and Python-based development to extract, structure, and analyse data that is not readily available through existing dashboards and systems, thereby directly enabling portfolio analytics, as well as contributor, Board and other stakeholders reporting, while reinforcing data governance through improved data quality, consistency, and integration across systems. The Consultant's work will directly support the implementation of key objectives outlined in the 2025–2027 DMEL Work Programme, particularly under the Monitoring, Data and Results workstream. The Consultant will report to the Monitoring, Results and Data Management Manager.

Duties and Responsibilities

Under the guidance of the Monitoring, Results and Data Management Manager, the Consultant will undertake the following tasks:

1.Python-Based Analytics

  • Develop and maintain Python-based tools to extract and structure data from non-standard APR Excel templates, automating disbursement and financing breakdown extraction.
  • Build NLP-driven Python models to extract thematic project and other data from unstructured PDFs, enabling enhanced portfolio, COP and contributor reports and analyses.
  • Contribute to Python-supported data cleaning, migration, and integration pipelines (ETL) across PPMS/iPMS, underpinning analytics and reporting workflows.

2. Results Monitoring and Portfolio Analysis

  • Prepare visualizations and analytical summaries for internal reports, Board materials and external communications, including UNFCCC COP reporting.
  • Deliver analyses on USP2/USP3 (as relevant) indicators, including development and clarification of methodologies;
  • Validate and rectify portfolio data in iPMS to address tagging and consistency issues are addressed.
  • Maintain dashboard-ready datasets underpinning portfolio-level reporting;
  • Flag data issues affecting trend analysis and portfolio interpretation.
  • Support regional and thematic portfolio analyses through data-driven presentations and technical follow-up on portfolio composition and performance.

3. Dashboard Development and Data Visualization

  • Maintain and enhance Power BI dashboards and supporting datasets tracking implementation, disbursement, and climate results across the portfolio.
  • Provide technical inputs to the design and refinement of interactive dashboards, including enhancements to semantic models, data filters, and alignment with GCF results frameworks (PMFs, iRMF, Rev. RRMF, HRMF).
  • Coordinate with regional teams and project leads to validate dashboard content and improve usability.

4. Contributor and External Reporting

  • Prepare and refine datasets for contributor reporting .
  • Support clarification of assumptions and data limitations for external sharing and stakeholder engagement.
  • Extract, clean, and analyse ex-post co-financing data from APRs; document methodological and system constraints; prepare project-level and aggregate datasets.

5. Data Quality, Governance, and Systems Coordination

  • Identify and flag data inconsistencies across monitoring platforms; contribute to the application of validation rules and cleaning protocols.
  • Coordinate with DIT and OCIO on system limitations and interim solutions pending full GPP–iPMS integration.
  • Support development and documentation of SOPs and data dictionaries to standardize data entry and reporting practices.
  • Coordinate DMEL inputs to internal data requests

6. Learning, Knowledge Sharing, and Other Tasks

  • Assist in preparing training materials, user guides, and FAQs related to data systems and results reporting tools.
  • Support team briefings, data clinics, and internal learning sessions to disseminate findings and promote capacity building.
  • Contribute to updates to the RPSP knowledge site and other internal knowledge repositories.
  • Undertake background research in support of results framework harmonization (RMF, IRMF, RRMF).
  • Carry out additional tasks as assigned by the supervisor.

Qualifications and Experience

  • Bachelor's degree in Applied Mathematics, Data Science, Statistics, Computer Science, Economics, or a related quantitative field. A Master's degree is plus.
  • Minimum of 1–2 years of hands-on experience in data analytics, data engineering, or monitoring and evaluation in a climate finance, development finance, or international organization context.
  • Demonstrated experience developing Python-based data extraction, automation, and analysis tools, including work with semi-structured and unstructured data sources (e.g., Excel, PDF, APR templates).
  • Proven experience with NLP or machine learning methods applied to classification or text analysis tasks.
  • Experience with ETL pipeline development and database integration (e.g., PPMS/IPMS or comparable systems).
  • Track record of contributing to high-stakes institutional reporting & analysis

Technical Skills

  • Advanced proficiency in Python (required);
  • Advanced proficiency in Power BI, including DAX and semantic model development. (required);
  • Proficiency in SQL and advanced Excel.
  • Familiarity with R, MATLAB, or C/C++ is an asset.
  • Experience with statistical methods including regression analysis, GLM, GAM, clustering, and NLP.

Interpersonal and Communication Skills

  • Strong analytical, problem-solving, and organizational skills with demonstrated ability to manage multiple workstreams simultaneously.
  • Excellent verbal and written communication skills in English; ability to translate complex technical findings for non-technical audiences.
  • Demonstrated ability to work independently and collaboratively in multicultural, cross-functional teams.
  • Capacity to serve as a coordination point across internal teams (e.g., DMEL(Department of Monitoring, Evaluation, and Learning), DIT(Department of Information Technology), OCIO(Office of Chief Investment Officer)) and external stakeholders.

Contract Period

12 months

*The consultancy covers the period from the contract start date through the end of the agreed engagement, subject to performance review and satisfactory delivery of outputs.

Duty Station

GCF Headquarters in Songdo, Incheon, South Korea

*Kindly note that this position does not provide relocation or housing support.

Department/ Reports to

The Department of Monitoring, Evaluation, and Learning (DMEL)

Applications from women and nationals of developing countries are strongly encouraged. Candidates of all nationalities are welcome to apply; Closing date for applications is 6 July 2026, 23:59 (KST). Applications received after the closing date may not be considered.

At Impactpool we do our best to provide you the most accurate info, but closing dates may be wrong on our site. Please check on the recruiting organization's page for the exact info. Candidates are responsible for complying with deadlines and are encouraged to submit applications well ahead.
Before applying, please make sure that you have read the requirements for the position and that you qualify. Applications from non-qualifying applicants will most likely be discarded by the recruiting manager.