Senior Analyst, Governments Modeling

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.

What You Stand to Gain:

• 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:

Impact: 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.

Responsibilities:

• 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.

What We’re Looking For:

• 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.

Basic Required Qualifications:

• 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.
• 3+ years of extensive experience in quantitative analysis, financial modeling, or data analytics, preferably within credit risk, ratings, or financial services.
• Proficiency in Python, R, SQL, or similar analytical tools for data manipulation and model development.
• Basic understanding of database modeling/design and applications; experience with SQL and databases such as Oracle, Sybase, or Access is beneficial.
• Strong analytical and problem‑solving skills with the ability to work with large, complex datasets and derive meaningful insights.
• Demonstrated ability to work collaboratively across teams and build relationships outside the immediate function.
• Willingness to adapt and continuously develop skills in a fast‑evolving analytical environment.

All employees are required to work from the office a minimum of 2 days per week. We require all candidates who reach the final stage of our interview process to attend at least one in‑person interview, ordinarily at their nearest S&P Global Ratings office. This must be completed before we can proceed to an offer.

Preferred Qualifications:

• Advanced degree (Master’s/PhD) in a quantitative field or professional certifications in data science, analytics, or financial modeling.
• Experience in credit risk modeling, sovereign or public finance analysis, or rating agency methodologies.
• Knowledge of regulatory frameworks and governance requirements related to model validation and documentation.

Benefits:

• Health care coverage designed for the mind and body.
• Generous time off helps keep you energized for your time on.
• Access a wealth of resources to grow your career and learn valuable new skills.
• Secure your financial future through competitive pay, retirement planning, and financial wellness programs.
• S&P Global has perks for your partners and little ones, too, with some best‑in class benefits for families.
• From retail discounts to referral incentive awards—small perks can make a big difference.

At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent.