CREDit Graduate Program Analyst

About the Role

S&P Global Ratings is a leading provider of independent credit risk research and benchmarks. The CREDit Program Analyst role is a two-year training and development opportunity, with the next intake in September 2027. Analysts contribute to high-quality fundamental research and ratings based on established criteria, engaging with senior market participants and the global investor community.

Key Responsibilities

Team Contribution & Capability Building

• Build capability in credit, financial data, and analytical tooling, applying feedback and adopting standard working methods.
• Contribute to AI-enabled team productivity by sharing reusable prompts, templates, checklists, and lightweight automation.
• Proactively support colleagues with attention to detail and contribute creative ideas.
• Champion continuous improvement by questioning existing processes, exploring new tools, and applying fresh perspectives to data and problem-solving.

Core Analytical & Delivery

• Partner with analysts and managers to deliver reliable execution, including clear status updates and early escalation of risks.
• Build and maintain high-quality research and data packs, applying automation where appropriate.
• Use approved large language model tools to accelerate research, summarization, and initial drafting, followed by human validation.
• Collect, clean, reconcile, and validate data; proactively identify inconsistencies and flag risks.
• Support financial model maintenance and contribute to recurring analyst monitoring workflows.

Stakeholder & Market Engagement

• Monitor issuer, sector, and market developments, producing concise summaries.
• Translate data, analysis, and research into clear, actionable narratives for client and market engagement.
• Develop a client-oriented, solutions-focused mindset.

Risk Management and Operating

• Apply confidentiality, documentation, and governance requirements consistently.
• Support supervised piloting and testing of new tools within defined guidelines.

Requirements & Tech Stack

• English: Fluent (able to conduct meetings, collaborate effectively, and communicate clearly in writing and verbally).
• Employees are required to work from the office a minimum of two days per week.
• Candidates reaching the final stage will be asked to attend at least one in-person interview.
• This role is limited to persons with indefinite right to work in the United States.

Qualifications

Education

• Current undergraduate or postgraduate student in the penultimate year of study only.
• Candidates from traditional finance disciplines such as Accounting, Business Administration, Engineering, Economics, Finance, Math, Public Policy, Quantitative Analysis, Data, and Statistics are welcome.
• Diverse academic backgrounds that support innovative and critical thinking and storytelling are also welcome, including Engineering and Sciences, Philosophy, Politics, Classics, Theology, English Language, English Literature, and Languages.

Team Contribution & Capability Building

• Collaborative and dependable working style, with the ability to manage priorities and communicate clearly.
• A learning mindset, comfortable adopting new tools, with a genuine interest in automation and efficiency improvements.

Core Analytical & Delivery

• Demonstrated ability or clear willingness to develop strength in research and data analysis, synthesizing information into clear, concise, decision-ready outputs.
• Strong spreadsheet skills with a willingness to develop proficiency in data and automation tools.
• Practical fluency with generative AI and large language model tools—or a strong willingness to develop this—paired with sound validation discipline.

Stakeholder & Market Engagement

• Effective written and verbal communication skills, with the ability to present research and analysis clearly.
• A solutions-oriented mindset focused on delivering excellent service.

Risk Management and Operating

• High standards for accuracy, traceability, and quality, with a commitment to responsible technology use.