Economic Consultant

Grade Level (for internal use): 11 The Team: The EMEA Economist team is a focused group of four economists embedded across Frankfurt, London, and Paris, operating as part of a global economics practice of approximately 15 professionals. The team is distinguished by its commitment to rigorous quantitative analysis and its pioneering work at the intersection of macroeconomics and artificial intelligence. You will collaborate directly with the EMEA Chief Economist and the Head of Economic Modelling, contributing to high-visibility initiatives that shape how S&P Global delivers economic intelligence to global markets. Responsibilities and Impact: Design and develop components of an AI-assisted economic scenario tool, delivering production-ready outputs that enhance the global team's analytical capabilities. Construct and validate econometric models using large-scale macroeconomic datasets, ensuring empirical integrity across scenario frameworks. Translate complex economic findings into structured scenario outputs, directly supporting decision-making by senior economists and internal stakeholders. Collaborate with economists across EMEA and global regions to integrate scenario tool outputs into broader research workflows and publications. Present progress updates and model results to the EMEA Chief Economist and Head of Economic Modelling, driving iterative improvements to the tool. Contribute to a growing internal capability at the frontier of applied AI in economics, with direct exposure to senior leadership and cross-divisional research initiatives.

Master's degree in Economics, Econometrics, or a related quantitative discipline.

2-4 years of professional experience in applied economics, macroeconomic modelling, or econometric analysis. Technical Skills: Demonstrated proficiency in Python or R for econometric modelling and large dataset processing. AI Application: Proven use of AI or machine learning tools (e.g., scikit-learn, TensorFlow, or equivalent Python-based ML libraries) in an economics or research context. Language: Business-proficient English (written and spoken) required. Additional Preferred Qualifications: Domain Experience: Prior experience building or contributing to macroeconomic scenario frameworks or forecasting models. Technical Skills: Experience working with structured macroeconomic databases (e.g., IMF, World Bank, ECB datasets). AI Tools: Hands-on experience integrating large language models (LLMs) or generative AI APIs into analytical workflows. Language: Business-proficient German or French (written and spoken). Collaboration: Experience working in cross-regional or globally distributed research teams. Communication: Track record of presenting quantitative findings to senior stakeholders or in published research.

We require all candidates who reach the final stage of our interview process to attend at least one in-person interview, which is ordinarily at your nearest S&P Global Ratings office. This must be completed before we can proceed to an offer Employees are required to work from the office a minimum of two days per week About S&P Global Ratings At S&P Global Ratings, our analyst-driven credit ratings, research, and sustainable finance opinions provide critical insights that are essential to translating complexity into clarity so market participants can uncover opportunities and make decisions with conviction. By bringing transparency to the market through high-quality independent opinions on creditworthiness, we enable growth across a wide variety of organizations, including businesses, governments, and institutions. S&P Global Ratings is a division of S&P Global (NYSE: SPGI).  S&P Global is the world’s foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we