CREDit Graduate Program Analyst

S&P Global•New York, NY

13d•$75,000 - $90,000•Hybrid

About The Position

S&P Global Ratings is seeking CREDIT Program Analysts for its two-year training and development program, with the next intake in September 2027. This program offers a unique opportunity to engage with senior market participants and the global investor community while producing high-quality fundamental research and ratings. Analysts will work across various practices including Corporates, Public Finance, Financial Institutions, Structured Finance, Sovereign and International Public Finance, and Infrastructure. The program combines practical work experience with the completion of a relevant professional qualification, such as an MBA or CFA. Analysts will contribute to AI-enabled team productivity, support colleagues, champion continuous improvement, and deliver reliable execution. They will also build and maintain research and data packs, use approved large language model tools for research and drafting, collect and validate data, and support financial model maintenance. Additionally, analysts will monitor market developments, translate data into clear narratives, and apply confidentiality and governance requirements.

Requirements

Current undergraduate or postgraduate student in the penultimate year of study only.
Candidates from traditional finance disciplines e.g. Accounting, Business Administration, Engineering, Economics, Finance, Math, Public Policy, Quantitative Analysis, Data and Statistics.
Diverse academic backgrounds that support innovative and critical thinking and storytelling e.g. Engineering and Sciences, Philosophy, Politics, Classics, Theology, English Language, English Literature and Languages.
Collaborative and dependable working style, with the ability to manage priorities, communicate clearly, and deliver consistently in a team-oriented environment.
A learning mindset, comfortable adopting new tools to enhance quality, with a genuine interest in automation and efficiency improvements that maintain clear controls and measurable outcomes.
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 to improve reliability and consistency.
Practical fluency with generative AI and large language model tools — or a strong willingness to develop this — paired with sound validation discipline and judgment on when AI should not be used to protect accuracy and confidentiality.
Effective written and verbal communication skills, with the ability to present research and analysis in a clear, structured format that supports informed decision-making.
A solutions-oriented mindset focused on delivering excellent service to internal and external stakeholders.
High standards for accuracy, traceability, and quality, with a commitment to responsible technology use — including protecting confidential information and ensuring AI-generated outputs are verified and appropriately attributed.
English: Required — Fluent (able to conduct meetings, collaborate effectively, and communicate clearly in writing and verbally).

Responsibilities

Build capability in credit, financial data, and analytical tooling by applying feedback quickly and adopting standard ways of working that reinforce consistent, decision-ready outputs.
Contribute to AI-enabled team productivity by sharing reusable prompts, templates, checklists, and lightweight automation that augments team judgment, not replaces it, reducing rework and improving turnaround time.
Support colleagues proactively with strong attention to detail, and contribute creative, resourceful ideas in collaborative team discussions.
Champion continuous improvement by questioning existing processes, exploring new tools, and applying fresh perspectives to data and problem-solving.
Partner with analysts and managers to deliver reliable execution, including clear status updates, early escalation of risks, and consistent follow-through to protect quality and trust.
Build and maintain high-quality research and data packs using standard templates, applying automation where appropriate to improve consistency while retaining human review of key outputs.
Use approved large language model tools as an enabler to accelerate research, summarization, and initial drafting - followed by human validation, correction, and explicit evidence capture.
Collect, clean, reconcile, and validate data; proactively identify inconsistencies, assess assumptions, and flag risks early.
Support financial model maintenance and contribute to recurring analyst monitoring workflows and process improvement initiatives.
Monitor issuer, sector, and market developments and produce concise, clearly sourced summaries that help analysts move faster and inform decision-making.
Translate data, analysis, and research into clear, actionable narratives for client and market engagement.
Develop a client-oriented, solutions-focused mindset by observing and learning from service excellence in practice.
Apply confidentiality, documentation, and governance requirements consistently across all analytical and operational activities.
Support supervised piloting and testing of new tools within defined guidelines.