E T Consultant – ESG Data Analyst

Description

 

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 2023, IFC committed a record US$43.7 billion to private companies and financial institutions in developing countries, leveraging the power of the private sector to end extreme poverty and boost shared prosperity as economies grapple with the impacts of global compounding crises. For more information, visit www.ifc.org.

IFC promotes sustainable development through the provision of investment and advisory services, including promotion of sound environmental, social and governance (ESG) policies and practices. IFC’s ESG Department (CEG) makes an important contribution to IFC’s mandate – deploying ESG expertise to clients and other partners around the globe.

CEG’s Advisory, Knowledge and Learning team (CEGKL) provides knowledge and information support to IFC staff and clients on best-in-class ESG risk management, working in close collaboration with ESG specialists and operations staff, across units and geographies.

CEG is seeking to recruit a highly motivated extended-term consultant (ETC) to support the Innovation and Data Science work program with developing artificial intelligence and machine learning-powered ESG risk management and due diligence solutions for investors in emerging markets delivered through the Machine Learning ESG Analyst (MALENA) platform. The ETC will report to the CEG AKL Innovation and Data Science Lead.

Scope of Work

• Support MALENA use cases and proof of concepts
• Contribute to and support use cases with ESG specialists and MALENA beta testers by identifying relevant data sets, reviewing results of data science Proof of Concepts and model output, conducting Quality Assurance of results, refining results, and providing feedback on model performance to the data science team and users.
• Data management: Support data collection from various CEG/IFC/WBG/external databases, check and verify data quality, and conduct data analysis and presentation.
• Support data quality controls for the MALENA platform, ensure data completeness, and monitor data quality.
• ESG Data: Understand different ESG data sources and their strengths and weaknesses.
• Be creative and analytical in the use of available ESG data to support use cases and product features for MALENA users.
• Support management of corporate databases and ESG document repositories.
• Taxonomy development: Collaborate with IFC’s ESG Taxonomy and Ontology efforts.
• Refine and expand ESG risk terms, indicators and model training: Label documents using ESG criteria based on IFC’s Performance Standards requirements, Corporate Governance methodology, climate finance, green bond principles, gender, and biodiversity/nature criteria to create high-quality labeling data for machine learning applications.
• Check the accuracy of documents processed for ESG labeling and sentiment analysis.
• Review processed documents to refine sentiment analysis outcomes.
• MALENA product development: Actively participate in problem solving and product development and support the work of the MALENA data readiness, data science, product development, and client-facing teams.
• Data Analytics: Support the MALENA project team with data analytics for existing use cases and ad-hoc analysis.
• Provide analytical, research and administrative support to the Innovation and Data Science team and as requested, conduct research and analysis on ESG-related issues and topics.
• Support the continuous implementation and institutionalization of CEG’s goal to strategically use AI technologies to support ESG risk management.

 

Selection Criteria

 

 

World Bank Group Core Competencies

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