Senior Analyst, S&P Global Ratings, New York or Colorado - NBMBA

S&P Global•Boulder, CO

2d•Hybrid

About The Position

S&P Global Ratings is seeking Senior Analysts to join their team. The role involves leading end-to-end credit analysis and surveillance for assigned credits, synthesizing portfolio performance and market signals into decision-ready insights, and embedding generative AI and large language model tools within workflows. The position requires translating complex data and analysis into clear, evidence-based narratives for clients and senior stakeholders, building trusted relationships through credible, collaborative engagement. Analysts will also be responsible for applying methodology, confidentiality, and data governance requirements consistently, and contributing to the responsible design of automation and AI-enabled workflows. The team is global, with analysts across key financial centers, and focuses on various practices including Financial Services, Corporates, Structured Finance & Alternative Investment Funds, Infrastructure & Project Finance, and Public Finance.

Requirements

Strong credit, financial, and risk analysis skills, with the ability to link fundamental drivers to forward-looking risk views.
Practical experience embedding generative AI or large language model tools into professional workflows to improve productivity and analytical output.
Proficiency in analytical and spreadsheet tools, with a willingness to develop skills in data and automation platforms.
Demonstrated ability to deliver high-quality work across multiple credits with limited oversight, and to coach junior colleagues through shared standards and tools.
Strong collaboration and relationship management skills, with the ability to influence outcomes through credibility and constructive engagement.
Effective written and verbal communication skills, with the ability to synthesize complex analytical content into concise, evidence-based narratives for senior stakeholders and rating committees.
High standards for quality, traceability, and governance, with sound judgment on the responsible use of AI tools in a controlled environment.

Nice To Haves

Bachelor's degree or equivalent required. A master's degree or professional certification (such as CFA) is highly valued.
Candidates from traditional finance disciplines as well as diverse academic backgrounds that support innovative and critical thinking are welcome.

Responsibilities

Guide and coach junior analysts, building capability in credit analysis, data discipline, and analytical tooling to reinforce consistent, high-quality outputs.
Contribute to automation initiatives that free capacity for human analysis, judgment, and relationship-building.
Lead end-to-end credit analysis and surveillance for assigned credits, delivering timely, high-quality outputs with clear accountability.
Synthesize portfolio performance, market signals, and peer context into decision-ready insights, and embed generative AI and large language model tools within workflows while maintaining human accountability for all conclusions.
Translate complex data and analysis into clear, evidence-based narratives for clients and senior stakeholders, building trusted relationships through credible, collaborative engagement.
Apply methodology, confidentiality, and data governance requirements consistently, escalating issues early and contributing to the responsible design of automation and AI-enabled workflows.