Associate Director - Infrastructure

S&P Global • New York, NY

3d

About The Position

The Infrastructure & Project Finance practice provides credit analysis on essential, long-lived assets and ring-fenced project financings—assessing contractual frameworks, demand and operating risks, sponsor strength, financial flexibility, and resilience under stress. The team’s work supports capital formation for critical infrastructure and helps the market understand fast-evolving subsectors such as data centres and digital infrastructure. The North America Infrastructure Project Finance Ratings team provides independent credit analysis and ratings on a growing portfolio of essential infrastructure projects across the U.S. and Canada, including transportation, power, and social infrastructure. The team’s coverage spans a broad range of project finance structures, including PPP/availability-based, contracted-revenue frameworks, and demand-risk assets. Supported by a strong pipeline of new issuance and refinancing activity, the team delivers timely, high-quality analytical execution and contributes to S&P Global Ratings’ high-profile Infrastructure sector coverage through rigorous credit assessment, clear rating rationale, and ongoing surveillance.

Requirements

• Five to seven years of experience in project finance and/or infrastructure finance (ratings, banking, advisory, investing, or credit) strongly preferred.
• Strong understanding of infrastructure project structures and documentation (e.g., concession/PPP agreements, EPC and O&M contracts, offtake or availability-payment frameworks, financing terms).
• Strong financial analysis skills, including cash flow modeling /interpretation, ratio and covenant analysis, and accounting fundamentals.
• Execution maturity across credit portfolio; delivers high quality with limited oversight.
• Strong collaboration/communication; influences through credibility and constructive challenge.

Responsibilities

• Act as senior reference point coaching (Research Assistants, Rating Analysts and Senior Analysts) on credit fundamentals, modelling discipline, data quality, and standard work including how to use AI as an enabler with governance.
• Coordinate work across credits; anticipate capacity/quality risks; influence outcomes through planning and constructive challenge in ambiguous situations.
• Embed continuous improvement into routines by improving playbooks/SOPs/prompt libraries and driving adoption.
• Partner with stakeholders to identify and shape high-impact use cases, supporting testing/adoption/rollout with governance, controls, and change management.
• Fosters a critical thinking mindset challenging assumptions and the status quo to generate insights that shape market views and strategic decisions.
• Model enterprise behaviours : Discovery, Integrity, and Partnership including human-centric leadership alongside AI-enabled change.
• Deliver end-to-end analytical execution across a defined portfolio, setting a consistently high bar for quality, timeliness, and clarity to sustain customer trust.
• Lead surveillance and analytical updates, connecting performance, market developments, and issuer peers to forward-looking risk themes.
• Own the quality of key outputs, ensuring consistency and clarity of reasoning.
• Use approved GenAI/LLMs to accelerate research/comparisons/drafting.
• Operate effectively alongside AI agents in recurring workflows.
• Support the execution of AI-driven projects.
• Validate inputs, reconcile metrics, document assumptions/ model changes.
• Synthesizes data, analysis, and research into executive-ready, market-facing narratives that convey S&P’s analytical expertise — leveraging broad market knowledge and detailed analysis to deliver trusted advice that influences decisions.
• Builds collaborative stakeholder trust through empathetic communication, differentiates S&P’s market viewpoint, and drives engagement with market participants.
• Contribute to strategic initiatives and also thought leadership by researching, drafting, and refining content with senior team input.
• Ensure adherence to methodology /confidentiality/data governance requirements; escalate emerging risks early.
• Embed responsible AI use in workflow process.
• Drive controlled automation/agentic workflows to remove low-leverage work, defining requirements/ controls and partnering with Data/Engineering to scale safely while setting expectations for ongoing monitoring and human oversight.

Benefits

• Health care coverage designed for the mind and body.
• Generous time off helps keep you energized for your time on.
• Access a wealth of resources to grow your career and learn valuable new skills.
• Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
• Perks for your partners and little ones, too, with some best-in class benefits for families.
• From retail discounts to referral incentive awards—small perks can make a big difference.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed