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

S&P Global•New York, NY

10d•Hybrid

About The Position

The Senior Analyst leads credit analysis for an assigned portfolio of companies in the Media, Telecommunications, and Business Services sectors within S&P Global Ratings’ Corporates Ratings practice. The role synthesizes financial and market data into forward-looking, committee-ready rating opinions and supports timely, high-quality delivery of independent credit analysis. It also incorporates approved AI-enabled tools and automation into analytical workflows, with structured validation and sound judgment to maintain the integrity and reliability of conclusions. The analyst provides day-to-day coaching and guidance to Research Assistants and Rating Analysts, promotes consistent analytical practices, and works with senior colleagues and Data and Engineering teams to develop governed AI and automation use cases. The role includes ongoing portfolio surveillance, preparation and review of analytical outputs and published reports, and engagement with external parties and other stakeholders. It requires adherence to rating methodology, confidentiality requirements, and data governance standards. Employees are required to work from the office a minimum of 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 people 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 supporting 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 about 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.
Indefinite right to work in the United States.
Availability to work from the office at least 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.
Coaching or mentoring experience that has 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.
Master’s degree or professional certification, such as CFA.
Academic background that supports innovative and critical thinking; candidates from diverse academic backgrounds are welcome.

Responsibilities

Lead end-to-end credit analysis for assigned companies, ensuring high-quality analysis and timely delivery.
Conduct ongoing surveillance of an assigned portfolio, synthesizing company performance, market signals, and peer context into decision-useful insights and clear risk implications.
Prepare and review analytical outputs, including model inputs, metrics, assumptions, and published reports, in accordance with methodology, sector frameworks, and evidentiary standards.
Use and help embed approved AI and automation tools in analytical workflows, validating outputs and applying analytical judgment to protect 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 disciplined adoption of shared analytical practices across the team.
Develop reusable assets and propose lightweight automations to improve productivity and 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.
Build and maintain trusted stakeholder relationships through collaborative, adaptable, and analytically confident delivery.
Follow methodology, confidentiality, and data governance requirements; escalate issues early with options and recommendations.
Use only approved AI tools and data, protect confidential information, and contribute to guardrails distinguishing automatable work from work that must remain human-led.
Support the design, testing, and rollout of controlled automation and AI-assisted workflows.