Senior Analyst - Business & Consumer Services Sector

Overview

Role scope and team context for internal use: Grade Level 11.

The team, Corporates, Credit Ratings is an integral part of the Global Ratings Services group, comprising analysts across key financial hubs.

The Corporates practice assesses the creditworthiness of companies by analyzing business risk, strategy, competitive position, and financial performance to produce opinions that support transparent, comparable decision-making.

Analysts translate sector and company fundamentals into clear views on resilience across cycles, incorporating emerging themes such as AI-driven business change and changing demand dynamics.

At S&P Global, our values—Discovery, Integrity, and Partnership—shape how we work and earn trust with customers and colleagues.

We embrace AI as an enabler with governance and risk management to preserve quality, accountability, and integrity.

Benefits / What You Stand to Gain

• Contribute to independent credit opinions relied on by the market, informed by innovative analysis.
• Join a diverse community where growth and well-being come first.
• Be part of an environment that values inclusion, collaboration, and authentic engagement.
• Continuous learning through education, training, and career coaching to adapt in a changing world.
• Access to People Resource Groups fostering awareness, engagement, and a sense of community.

Responsibilities

• Team Contribution & Capability Building
• Provide day-to-day guidance and coaching to Research Assistants and Rating Analysts, building capability in credit, data discipline, and tooling; reinforce values-led behaviours.
• Drive consistency and scalability by codifying standard work and promoting disciplined adoption to strengthen trusted, repeatable insights.
• Strengthen AI-enabled productivity by creating reusable assets and proposing lightweight automations that free capacity for human analysis and relationship work.
• Foster continuous improvement by proposing enhancements that remove manual steps without compromising governance or judgement.
• Partner with senior team members and Data/Engineering to identify and scale AI/automation use cases with governance-by-design, controls, and adoption support.
• Core Analytical & Delivery
• Lead end-to-end execution for assigned credits, ensuring high-quality analysis and timely delivery across priorities with clear accountability.
• Own surveillance/updates for assigned portfolio, synthesising performance, market signals, and peer context into decision-useful insights and clear implications for risk.
• Support LLM tools and automation embedded to accelerate workflows, followed by structured validation and refinement using analytical judgement to maintain trusted conclusions.
• Operate alongside AI agents in recurring workflows.
• Prepare and review inputs, reconcile metrics, and document assumptions/changes to ensure adherence to methodologies and standard operating procedures.
• Prepare and review key outputs ensuring clarity and alignment to methodology/sector frameworks and evidentiary standards.
• Support maintenance and review of models to ensure robustness and repeatability with clear linkage to risk views.
• Stakeholder & Market Engagement
• Engage with external parties alongside senior team members.
• Craft client- and executive-ready stories that translate complex data and analysis into a clear narrative, advising on issues within clear parameters and communicating S&P's analytical expertise to drive engagement with market participants.
• Build trusted stakeholder relationships through emotionally intelligent, collaborative, and adaptable delivery.
• Risk Management and Operating
• Ensure adherence to methodology, confidentiality, and data governance; escalate issues early with options/recommendations to protect integrity and trust.
• Embed responsible, governed AI use: approved tools and data only; protect confidential information.
• Drive controlled automation and agentic workflows by contributing to design requirements/controls, supporting testing/rollout, and training others.
• Support decisions relating to guardrails for automation: defining what can be automated versus what must remain human-led.

Qualifications (Implied)

• Strong analytical and communication skills with the ability to translate complex data into clear insights.
• Experience with credit analysis, financial statements, and risk assessment in corporate sectors.
• Familiarity with AI-enabled workflows and governance considerations is a plus.
• Ability to collaborate with cross-functional teams and manage stakeholder expectations.
• Notes

Note: This description reflects responsibilities and expectations for the role and may evolve with business needs.

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