E T Consultant Jobs

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 2022, IFC committed a record $32.8 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.
The mission of the International Finance Corporation (IFC), the private sector arm of the World Bank Group, is to promote sustainable private sector investment in developing countries, helping to reduce poverty and promote shared prosperity. 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.
Scope of Work:
Data management:

• Support data quality controls for the MALENA platform: ensure data completeness, and monitor data quality
• Support data collection from various CEG/IFC/WBG/external databases, check and verify data quality, and conduct data analysis and presentation.

ESG Data:

• Understand different ESG data sources and their strengths and weaknesses.
• Support management of corporate databases and ESG document repositories.
• Be creative and analytical in the use of available ESG data to support use cases and product features for MALENA users.

Taxonomy development:

• Collaborate actively with the IFC’s ESG Taxonomy and Ontology efforts.

Refine and expand ESG risk terms and indicators to support MALENA use cases, Model training:

• Label documents using ESG criteria based on IFC’s Performance Standards requirements, CG 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.
• MALENA product development: Actively participate in problem solving and product development and support the work of the MALENA data readiness, data science, and product development, and client-facing teams.
• Support the continuous implementation and institutionalization of CEG’s goal to strategically use AI technologies to support ESG risk management.
• Retrofit NLP processed documents to refine sentiment analysis outcomes.
• 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.
• Data Analytics: Support the MALENA project team with data analytics for existing use cases and ad-hoc analysis.

Selection Criteria
The candidate should be an early career professional with experience in innovation, project, or information management and a demonstrated technical knowledge of ESG related issues. Specifically, the candidate should meet the following criteria:

• Graduate degree in a relevant discipline (e.g., Business Administration, Finance, Economics, Sustainability, ESG, Innovation, Knowledge or Information Management, Information Technology, or other related discipline), with at least 5 years of relevant work experience; or a combination of relevant education and work experience.
• A self-starter and quick learner with keen eyes to details and able to take initiatives.
• Outstanding analytical and quantitative skills to critically evaluate data and ability to link and make associations between datasets and data needs.
• Demonstrated knowledge in the design of taxonomies for knowledge management applications and web semantics.
• Knowledge and interest in understanding emerging technologies including for ESG applications, by staying abreast of new trends and developments.
• Experience with design-thinking and agile or other innovation related techniques.
• Relevant experience with environmental and social management systems a plus.
• Advanced skills in Excel, PowerPoint and Word and experience with data visualization software such as Microsoft Business Intelligence or Tableau a plus.
• Strong motivation and organizational/time management skills.
• Basic understanding of data science methods, artificial intelligence, and machine learning and labeling and taxonomy applications a plus.
• Demonstrated strong abilities with Labeling documents for NLP applications (2 years of experience).
• Familiarity with IFC’s Policy and Performance Standards on Social and Environmental Sustainability, Corporate Governance Methodology, and associated tools is highly desirable.
• Excellent English oral and written communication skills with ability to quickly develop high quality presentations tailored to different audiences.
• Good team player with strong interpersonal skills, including the ability to work as a member of a multi-disciplinary and multi-cultural team, and network effectively across geographies and time zones.

World Bank Group Core Competencies
We are proud to be an equal opportunity and inclusive employer with a dedicated and committed workforce, and do not discriminate based on gender, gender identity, religion, race, ethnicity, sexual orientation, or disability.
Learn more about working at the World Bank and IFC, including our values and inspiring stories.
Note: The selected candidate will be offered a one-year appointment, renewable for an additional one year, at the discretion of the World Bank Group, and subject to a lifetime maximum ET Appointment of two years. If an ET appointment ends before a full year, it is considered as a full year toward the lifetime maximum. Former and current ET staff who have completed all or any portion of their second-year ET appointment are not eligible for future ET appointments.