Sustainability Sovereign Model Development Researcher

Your Team Responsibilities

MSCI ESG Research creates value in financial markets by transforming unstructured and inconsistently reported sustainability data into actionable insights that support better investment decisions. The ESG Rating Model Development team is seeking a detail-oriented researcher to advance models and methodologies for evaluating sustainability risks and opportunities. The successful candidate will contribute to the maintenance and enhancement of MSCI’s existing sovereign ESG products while also supporting strategic innovation initiatives to launch new products and datasets.

This role can be based in either the Frankfurt or Budapest office

Your Key Responsibilities

• Maintain and enhance MSCI’s existing sovereign ESG rating methodologies and models
• Develop new quantitative models and analytical frameworks for measuring sovereign and sub-sovereign ESG risks based on regulatory and other alternative datasets
• Use statistical methods and programing to analyze, interpret, and visualize data

• Implement, test and document new computations used in scoring models
• Collaborate with other teams such as Data, Application Development etc. to deliver the developed solutions to clients
• Communicate complex topics in a simple way to internal and external stakeholders not familiar with the topics

Your skills and experience that will help you excel

• 5+ years experience working on building analytical frameworks, credit ratings/ rankings of countries, and developing scorecards using large macro-economic data sets (for example: United Nations, World Bank, Eurostat, etc.)
• Strong analytical capabilities and advanced skills in Microsoft Excel and software development, particularly Python are a must-have. Familiarity with AI/ML techniques would be a plus.
• Advanced educational background and experience in the fields of climate, economics, finance, sustainability, or credit ratings
• Excellent communication skills and ability to work as part of a multi-cultural and geographically distributed team