Senior Analyst, Americas Public Finance – Utilities

S&P Global•New York, NY

1d•$91,000 - $115,000•Hybrid

About The Position

S&P Global Ratings is a leading provider of independent credit risk research. The Americas Public Finance – Utilities sector is crucial for supporting funding initiatives and essential infrastructure. This role involves joining a professional team focused on analytical excellence, customer service, and a supportive, diverse environment. As a Senior Analyst, you will be instrumental in producing high-quality credit analysis for water, wastewater, solid waste, and public power and cooperative electric utilities nationwide. Your work will directly impact market transparency, investor confidence, and access to capital for public infrastructure. The position requires strong quantitative and qualitative analytical skills, particularly in evaluating water and sewer utilities, and the ability to form well-supported credit opinions. This is a mid-level analytical role with significant growth opportunities for individuals demonstrating strong aptitude, sound judgment, and a deepening understanding of the utilities sector. Opportunities for presenting at conferences, contributing to research, supporting thought leadership, and representing S&P Global Ratings in external forums may arise as careers progress. The role is part of a talent-development culture that values integrated analysis, service excellence, diversity, and empowerment.

Requirements

A bachelor’s degree is required; a master’s degree is acceptable with fewer years of experience.
2–5+ years of relevant work experience, with experience in the municipal markets or utilities sector a plus.
Ability to think independently and critically with strong integrity, analytical curiosity, problem-solving, and research skills.
Strong interpersonal and verbal and written communication skills in front of internal and external audiences.
Strong attention to detail and demonstrated skills in quantitative analysis.
Ability to accurately interpret data and appropriately apply criteria to generate key analytical insights and conclusions.
Ability to work in a team environment, as well as independently, with a willingness to expand, learn, and support team initiatives.
Proactive and organized with excellent time management skills and ability to plan, prioritize, and meet multiple deadlines.
Strong understanding of financial reporting and markets, with knowledge of S&P’s analytical products and services a plus.
Proficient in Microsoft Office and aptitude for learning new applications/proprietary software.
All employees are required to work from the office a minimum of 2 days per week.
Must attend at least one in-person interview at your nearest S&P Global Ratings office before an offer can be made.

Nice To Haves

Experience combining quantitative and qualitative analysis in the evaluation of water and sewer utilities.
Demonstrated ability to synthesize complex information into clear, actionable credit insights.
Familiarity with public finance, municipal markets, or utility sector operations.
Experience with programming languages and data analytics, as well as AI and automation tools that enhance efficiency, is preferred.

Responsibilities

Serve as the primary analyst on credit transactions and prepare well-supported rating recommendations for rating committees, with clear rating reports supporting our credit opinion.
Serve as an active, vocal voting member of the rating committee, which deliberates rating outcomes and reviews materials prior to publication.
Publish timely and insightful credit reports and contribute to relevant research pieces.
Demonstrate strong knowledge of ratings criteria and financial statement analysis, while staying informed on relevant news and issues affecting credit quality in the utilities space and municipal bond market.
Apply strong detail orientation, critical thinking, and analytical discipline to evaluate both quantitative and qualitative credit factors.
Leverage data tools, programming languages, or automation/AI-enabled workflows where appropriate to enhance analytical efficiency (experience with AI or automation is a plus).