Senior Analyst - Corporate Ratings, New York

S&P Global•New York, NY

14h•Hybrid

About The Position

The Corporates Ratings practice within S&P Global's Global Ratings Services is seeking a Senior Analyst in New York. This team comprises over 1,400 analysts globally and focuses on providing forward-looking credit insights for corporate entities. The role involves analyzing industry trends, evaluating company performance and credit risk, and contributing to the maintenance of credit ratings. The Senior Analyst will lead the analysis for an assigned corporate portfolio, synthesizing financial and market data into rating opinions. This position leverages AI-enabled tools alongside analytical expertise to enhance productivity, quality, and consistency in the credit process, providing essential intelligence to investors, issuers, and market participants worldwide.

Requirements

3 to 5 years of relevant experience in corporate credit analysis, financial analysis, or a related field.
Demonstrated credit, financial, and risk analysis skills, with 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, with a willingness to learn data and automation platforms that support AI-enabled workflows.
Strong written and verbal communication skills, with 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 on the responsible use of AI in a controlled analytical environment.
Demonstrated ability to manage multiple credits and competing priorities, delivering high-quality work with limited oversight.
Bachelor's degree or equivalent required.
Must have an indefinite right to work in the United States.

Nice To Haves

Coaching or mentoring experience that has contributed to improved team capability, consistency, or the adoption of shared analytical standards.
Experience contributing to process improvement, automation design, or the rollout of AI-assisted workflows.
Demonstrated ability to build and maintain stakeholder relationships across teams and functions through collaborative, credible engagement.
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

Provide day-to-day coaching and guidance to Research Assistants and Rating Analysts, building capability in credit analysis, data discipline, and analytical tooling while reinforcing values-driven behaviors.
Drive consistency and scalability by codifying standard work and promoting the disciplined adoption of shared analytical practices across the team.
Strengthen AI-enabled productivity by developing reusable assets and proposing lightweight automations that free capacity for higher-value human analysis and relationship work.
Partner with senior team members and Data and Engineering colleagues to identify, design, and scale AI and automation use cases with governance built in from the outset.
Lead end-to-end execution for assigned credits, ensuring high-quality analysis and timely delivery with 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.
Support the embedding of AI and automation tools into analytical workflows, applying structured validation and analytical judgment to maintain the integrity and reliability of conclusions.
Prepare and review key analytical outputs — including model inputs, metrics, assumptions, and published reports — ensuring alignment with methodology, sector frameworks, and evidentiary standards.
Engage with external parties alongside senior team members, communicating complex analysis clearly and with credibility.
Craft client- and executive-ready narratives that translate data, research, and analysis into clear, actionable stories.
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 clear options and recommendations to protect analytical integrity.
Embed responsible, governed AI use into day-to-day workflows, using only approved tools and data while protecting confidential information at all times.
Support the design, testing, and rollout of controlled automation and AI-assisted workflows, contributing to guardrail definitions that distinguish what can be automated from what must remain human-led.