The board
- Hours
- Full time
- Where
- New York, NY
- Posted
- Sep 23
Grade Level (for internal use):
09The Impact:
At S&P Global, our values - Discovery, Integrity, and Partnership - shape how we work, how we collaborate, and how we earn trust with our customers and each other. We embrace AI as an enabler, guided by rigorous governance and risk management, to enhance what has always defined us: the intelligence of our people, deep relationships, and trusted insights. By leveraging technology with human expertise, we help our teams navigate complexity and deliver actionable, decisionready intelligence without compromising quality, accountability, or integrity.
What You Stand to Gain & Program Overview:
S&P Global Ratings is one of the world's leading providers of independent credit risk research and benchmarks.
What you'd do
- 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.
- Starts
- 2026-09-23