About the Role:Grade Level (for internal use):11
The Team:Credit Ratings is an integral part of the Global Ratings Services team, comprising a diverse group of 1,400 analysts spread across key financial hubs worldwide. We are dedicated to delivering high-quality insights and exceptional client service across all industry sectors.
S&P Global Rating's North America infrastructure practice is growing rapidly, supported by a strong pipeline of new financings and refinancing activity funding a wide range of essential infrastructure. The role offers the opportunity to work on complex structures in fast growing market segments such as power, midstream, refining and digital infrastructure while contributing to S&P Global Ratings' high-profile coverage of the global infrastructure sector. Analysts will have the opportunity to use their corporate credit and project finance skills to facilitate and support capital formation for this critical sector.
Responsibilities: Team Contribution & Capability Building
- Provide day-to-day guidance/coaching to Research Assistants and Rating Analysts, building capability in credit, data discipline, and tooling and reinforcing values-led behaviors.
- Drive consistency/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, synthesizing performance, market signals, and peer context into decision-useful insights and clear implications for risk.
- Supporting LLM tools/automation being 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/review inputs, reconcile metrics, document assumptions/changes to ensure adherence to methodologies/standard operating procedures.
- Prepare/review key outputs ensuring clarity and alignment to methodology/sector frameworks and evidentiary standards.
- Support maintenance/review of models to ensure robustness and repeatability and clear linkage to risk views.
Stakeholder & Market Engagement
- Engage with external parties alongside senior team members.
- Crafts client and executive-ready stories that translate complex data, analysis, and research into a clear narrative. Advising on issues within clear parameters, integrating and communicating complex information to convey S&P's analytical expertise and drive engagement with market participants.
- Building trusted stakeholder relationships through emotionally intelligent, collaborative and adaptable delivery.
Risk Management
- Ensure adherence to methodology/confidentiality/data governance; escalate issues early with options/recommendations to protect integrity and trust.
- Embed responsible, governed AI use: approved tools/data only; protect confidential info.
- Drive controlled automation/agentic workflows by contributing to design requirements/controls, supporting testing/rollout, and training others.
- Supports decisions relating to guardrails for automation: defining what can be automated vs must remain human-led (especially material risk calls and committee conclusions).
Compensation/Benefits Information: (This section is only applicable to US candidates:)S&P Global states that the anticipated base salary range for this position is $110,000 USD to $153,000 USD. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses, and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. For more information on the benefits we provide to our employees, please click here.
Compensation/Benefits Information: (This section is only applicable to Canadian candidates:) S&P Global states that the anticipated range of compensation for this position is 105,000 CAD to 133,000 CAD. Final compensation for this role will be based on the individual's performance, geographic location, as well as experience level, skill set, training, licenses, and certifications. In accordance with Ontario's new regulations effective January 1, 2026, this job posting provides information on expected compensation. S&P Global will not be utilizing artificial intelligence in our hiring process. Additionally, we are committed to transparency and will inform all interviewed candidates of hiring decisions within 45 days of their interview. This posting is for an existing vacancy, and we encourage you to reach out for further information regarding our hiring practices or any questions you may have. Thank you for considering a career with us!
What We're Looking For: Practice Nuances:
- Developing and articulating credit views and managing a portfolio of credits, preparing committee-ready materials and actively participating in rating committees for credits across the spectrum of the North America infrastructure sector.
- Demonstrating service excellence and professionalism including preparing for and participating in management meetings, due diligence calls, and surveillance discussions to obtain information supporting credit analysis and rating decisions and drafting and driving publication of high-quality rating reports.
- Contributing to sector expertise and supporting thought leadership by contributing to commentaries and sector publications and through participation in regional and global analytical work groups and by staying current on market developments affecting North American infrastructure and supporting senior analysts in external analytical engagements.
Team Contribution & Capability Building
- Ownership/execution maturity across multiple credits; delivers high quality with limited oversight and models values-led behavior.
- Strong collaboration/relationship management; influences through credibility and constructive challenge.
- Coaching capability that improves team consistency through shared standards and tools.
- Continuous improvement mindset.
- AI fluency with judgement.
Core Analytical & Delivery
- Strong credit/financial/risk analysis linking drivers to forward-looking views and risk appetite.
- Practical experience embedding AI/LLMs/agents into workflows to improve productivity and insight.
- Strong analytical tool capability; willingness to learn data/automation tools to facilitate AI-enabled workflows.
Stakeholder & Market Engagement
- Strong synthesis into concise narratives for senior stakeholders/committees with transparent evidence.
- Effective written and verbal communicator, able to present research and analysis in a clear, structured way that supports informed decision making.
Risk Management and Operating
- High standards for quality, traceability, and governance; operates effectively in controlled environments.
- Sound judgement on responsible AI use.
- Ability to contribute to scalable automation/agent workflows.
Additional Information
- An S&P Global employee at this level would typically have three to five years' of relevant work experience.
- Education: Bachelor's degree or equivalent required. A master's degree or professional certification (such as CFA) is highly valued. We welcome candidates from traditional finance disciplines as well as diverse academic backgrounds that support innovative and critical thinking.
- Employees are required to work from the office a minimum of two days per week.
- Candidates who reach the final stage of the interview process will be asked to attend at least one in-person interview at their nearest S&P Global Ratings office before an offer can be extended.
