Senior Credit Analyst: AI-Driven Portfolio Leader

S&P Global; New York (NY); On-site; USD 97,000 - 154,000; Full time

Benefits offered by this job

Annual incentive plan

Benefits package

Job summary

S&P Global is seeking a Senior Analyst in Credit Ratings to lead analysis for a portfolio across Media, Telecommunications, and Business Services. You will synthesize financial and market data into clear rating opinions, integrating AI-enabled tools to boost productivity, quality, and consistency across the credit process.

Responsibilities include coaching researchers, codifying standard work, building scalable analysis assets, and partnering with data and engineering teams to design AI-driven

Qualifications

• 3 to 5 years of relevant experience in corporate credit analysis, financial analysis, or related field.
• Demonstrated credit, financial, and risk analysis skills with ability to link drivers to forward-looking views.
• Experience embedding AI tools, LLMs, or automation into analytical workflows.

Responsibilities

• Lead end-to-end execution for assigned credits with high-quality analysis and timely delivery.
• Own ongoing surveillance for an assigned portfolio with clear risk implications.
• Support embedding AI and automation into analytical workflows with governance and validation.
• Prepare and review key analytical outputs ensuring alignment with methodology and standards.
• Engage with stakeholders to translate analysis into actionable narratives.

Skills

Credit analysis

Financial analysis

Risk analysis

AI tools / automation

LLMs / AI-enabled workflows

Tools

AI tools

Automation tooling

Job description

S&P Global is seeking a Senior Analyst in Credit Ratings to lead analysis for a portfolio across Media, Telecommunications, and Business Services. You will synthesize financial and market data into clear rating opinions, integrating AI-enabled tools to boost productivity, quality, and consistency across the credit process.

Responsibilities include coaching researchers, codifying standard work, building scalable analysis assets, and partnering with data and engineering teams to design AI-driven