Associate Director - Infrastructure (Project Finance), New York or Toronto

Location: New York


About the Role:

Grade Level (for internal use):
12

The Team

The North America Infrastructure Project Finance Ratings team at S&P Global Ratings covers essential infrastructure projects across the United States and Canada, including transportation, power, and social infrastructure, assessed across PPP/availability-based, contracted-revenue, and demand-risk frameworks. The team values rigorous credit assessment, clear analytical reasoning, and a collaborative approach to supporting capital formation across critical and fast-evolving infrastructure subsectors including data centers and digital infrastructure.

Responsibilities and Impact

Team Contribution & Capability Building

• Coach junior team members on credit fundamentals, modeling discipline, and the responsible use of AI tools, coordinating work across credits to manage quality and capacity risks.
• Embed continuous improvement into team routines by developing analytical playbooks, prompt libraries, and standard processes, and driving their adoption across the team.

Core Analytical & Delivery

• Lead end-to-end credit analysis for an assigned portfolio of North America infrastructure project finance credits, preparing committee-ready materials and participating actively in rating committees.
• Manage portfolio surveillance and updates, connecting market developments and project performance to forward-looking risk themes, and embed AI tools into analytical workflows with disciplined validation and documentation.

Stakeholder & Market Engagement

• Synthesize data, analysis, and research into clear, market-facing narratives for senior stakeholders and market participants, and contribute to thought leadership and sector commentaries.

Risk Management and Operating

• Ensure adherence to analytical methodology, confidentiality standards, and data governance requirements, escalating risks early and contributing to controlled automation workflows with appropriate governance and human oversight.

Compensation / Benefits Information

US Candidates Only

S&P Global states that the anticipated base salary range for this position is $120,000 to $189,000 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 visit

Canadian Candidates Only

S&P Global states that the anticipated range of compensation for this position is CAD $110,000 to $165,000. Final compensation for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses, and certifications. In accordance with Ontario's 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.

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.

What We're Looking For

Required Skills and Experience

• An S&P Global employee at this level would typically have 5+ years of relevant experience in project finance or infrastructure finance, including roles in ratings, banking, advisory, investing, or credit.
• Demonstrated understanding of infrastructure project structures and documentation, including PPP agreements, EPC and O&M contracts, and offtake or availability-payment frameworks.
• Demonstrated financial analysis skills, including cash flow modeling, ratio and covenant analysis, and accounting fundamentals.
• Demonstrated ability to deliver high-quality credit analysis across a portfolio with limited oversight and coach junior analysts through structured feedback and quality review.
• Practical experience embedding generative AI, large language models, or agentic workflows into analytical processes with disciplined governance, validation, and responsible AI practices including bias awareness and adherence to approved boundaries.
• Effective written and verbal communication skills for…