Senior Analyst, Governments Modeling

Overview

The Government’s Global Analytics and Methodologies (GAM) team develops and maintains a broad portfolio of criteria and quantitative models spanning U.S. Public Finance, Sovereigns, and International Public Finance. These models support analysts globally in producing independent, high‑quality credit ratings across sectors such as State and Local Governments, Higher Education, Healthcare, Public Housing, and Infrastructure. The team values analytical rigor, innovation, and close collaboration with subject matter experts to deliver transparent, market‑relevant insights.

About The Role

Grade Level (for internal use): 11

The GAM team develops and maintains a broad portfolio of criteria and quantitative models spanning U.S. Public Finance, Sovereigns, and International Public Finance. These models support analysts globally in producing independent, high‑quality credit ratings across sectors such as State and Local Governments, Higher Education, Healthcare, Public Housing, and Infrastructure. The team values analytical rigor, innovation, and close collaboration with subject matter experts to deliver transparent, market‑relevant insights.

• Opportunity to work as a Model SME embedded within a global analytical practice, contributing to cutting‑edge quantitative tools used across Ratings.
• Exposure to a wide range of public finance and sovereign sectors, gaining insight into global credit markets and policy‑relevant topics.
• Hands‑on involvement in transforming our analytical infrastructure, including cloud‑based model delivery and modernized tooling.
• A collaborative, collegial environment that supports continuous learning, innovation, and professional growth.

The Impact and Responsibilities: This role strengthens our ability to deliver high‑impact, transparent credit analysis by developing and enhancing quantitative models and tools used across the Governments practice. The Senior Analyst contributes directly to Ratings’ market relevance by synthesizing complex datasets, enabling analysts to make well‑supported credit decisions, and advancing our data analytics capabilities across Global Analytics and Methodologies.

• Develop and maintain nimble, user‑friendly quantitative tools and solutions used globally for credit rating analysis and research.
• Partner with Global Analytics and Methodologies, Ratings Technology, and Validation teams to ensure models and tools are reliable, performant, and aligned with business requirements.
• Build applications and dashboards that integrate models, tools, and datasets to generate analytical insights for credit decisions.
• Identify opportunities for innovation and continuous improvement while solving complex, non‑routine analytical challenges.
• Collaborate closely with analysts, model developers, and subject matter experts to ensure data analyses effectively inform credit decisions across U.S. Public Finance, International Public Finance, and Sovereign portfolios.
• Support end‑to‑end criteria projects, including tool development, testing new concepts, data gathering, writing, and preparing governance‑compliant documentation.

Compensation/Benefits Information: S&P Global states that the anticipated base salary range for this position is $91,000 - $122,000. Final base salary for this role will be based on the individual’s geographic location, experience level, skill set, training, licenses, and certifications.

• Strong quantitative abilities to develop analytic solutions and models that support high‑quality credit analysis and research.
• Ability to navigate a steep learning curve and demonstrate strong analytical, teamwork, and presentation skills.
• Interest in gaining exposure to a wide range of global sectors and market topics.
• Desire to work in a collegial, collaborative environment with broad stakeholder interaction.

• Bachelor’s degree in Mathematics, Statistics, Economics, Finance, Computer Science, or a related quantitative field.
• Knowledge of capital markets and financial instruments, with an emphasis on credit risk modeling preferred.
• An S&P Global employee at this…