Senior Analyst, Corporates Ratings – Media, Telecommunications and Business Services, New York

S&P Global•New York, NY

10d•$97,000 - $154,000•Hybrid

About The Position

The Senior Analyst leads credit analysis for an assigned portfolio of companies in the Media, Telecommunications, and Business Services sectors. The role synthesizes complex financial and market information into clear, forward-looking, committee-ready rating opinions and supports ongoing surveillance and timely delivery of high-quality analysis. It also contributes to productivity, quality, and consistency by incorporating approved AI tools and automation into analytical workflows while applying structured validation and sound analytical judgment. The position provides day-to-day coaching and guidance to Research Assistants and Rating Analysts, promotes shared analytical practices, and partners with senior colleagues and Data and Engineering teams on governed AI and automation use cases. The Senior Analyst prepares and reviews analytical outputs, engages with external stakeholders alongside senior team members, and communicates findings through clear narratives for clients, executives, and rating committees. The role requires adherence to methodology, confidentiality, and data governance standards, with responsible use of approved AI tools and protection of confidential information. Employees are required to work from the office at least two days per week. Candidates reaching the final interview stage must attend at least one in-person interview, ordinarily at their nearest S&P Global Ratings office. The role is limited to persons with an indefinite right to work in the United States.

Requirements

Typically 3 to 5 years of relevant experience in corporate credit analysis, financial analysis, or a related field.
Demonstrated credit, financial, and risk analysis skills, including the ability to connect key drivers to forward-looking risk views and actionable credit opinions.
Practical experience embedding AI tools, large language models (LLMs), or automation into analytical workflows to improve productivity and analytical insight.
Proficiency in analytical tools and willingness to learn data and automation platforms that support AI-enabled workflows.
Strong written and verbal communication skills, including the ability to synthesize complex analysis into concise, evidence-based narratives for senior stakeholders and rating committees.
High standards for quality, traceability, and governance, with sound judgment regarding responsible AI use in a controlled analytical environment.
Ability to manage multiple credits and competing priorities and deliver high-quality work with limited oversight.
Bachelor's degree or equivalent required.
Indefinite right to work in the United States.
Ability to work from the office a minimum of two days per week and attend at least one in-person interview if reaching the final interview stage.

Nice To Haves

Experience in the Media, Telecommunications, or Business Services sectors, or strong understanding of related corporate credit dynamics.
Master's degree or professional certification, such as CFA.
Coaching or mentoring experience that improved team capability, consistency, or adoption of shared analytical standards.
Experience contributing to process improvement, automation design, or rollout of AI-assisted workflows.
Ability to build and maintain stakeholder relationships across teams and functions through collaborative, credible engagement.
Academic backgrounds that support innovative and critical thinking.

Responsibilities

Lead end-to-end execution for assigned credits, ensuring high-quality analysis, timely delivery, and clear accountability across priorities.
Own ongoing surveillance for an assigned portfolio, synthesizing performance data, market signals, and peer context into decision-useful insights with clear risk implications.
Prepare and review analytical outputs, including model inputs, metrics, assumptions, and published reports, ensuring alignment with methodology, sector frameworks, and evidentiary standards.
Apply structured validation and analytical judgment when embedding AI and automation tools into analytical workflows to maintain the integrity and reliability of conclusions.
Provide day-to-day coaching and guidance to Research Assistants and Rating Analysts in credit analysis, data discipline, and analytical tooling.
Codify standard work and promote consistent, scalable analytical practices across the team.
Develop reusable assets and propose lightweight automations that free capacity for higher-value analysis and relationship work.
Partner with senior team members and Data and Engineering colleagues to identify, design, and scale governed AI and automation use cases.
Engage with external parties alongside senior team members, communicating complex analysis clearly and credibly.
Create client- and executive-ready narratives that translate data, research, and analysis into clear, actionable stories for diverse audiences.
Build trusted stakeholder relationships through collaborative, adaptable, and analytically confident delivery.
Ensure adherence to methodology, confidentiality requirements, and data governance standards; escalate issues early with options and recommendations.
Use only approved AI tools and data, protect confidential information, and support the design, testing, and rollout of controlled AI-assisted workflows and automation guardrails.