Associate Director – Structured Finance, Novel Transactions

S&P Global

full-time

Posted on: 9/21/2025

Origin: • 🇺🇸 United States • Colorado, New York

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💰 $120,400 - $180,000 per year

Senior

PythonVBA

About the role

Act as a primary analyst on new engagements for novel structured finance and fund finance transactions
Market engagement and education with external stakeholders on rating feasibility of new and innovative structures
Execute new rating engagements and publish research, commentaries, podcasts, and webinars
Perform rigorous analytical work, research, fundamental credit analysis and writing of analytical reports on cross-practice transactions
Interact with market participants to educate external stakeholders about S&P’s analytical approaches and assess analytical proposals on novel structures
Collaborate with analytic teams from different practices and regions to provide rating solutions for complex and esoteric transactions
Complete the end-to-end ratings process for new issue and surveillance transactions
Perform cash flow analysis, synthesize results, and present findings in committees in a timely manner
Review legal and operating documents to ensure consistency with criteria and identify issues with transaction structure and provide comments to external parties
Actively manage relationships with internal and external clients and handle clients’ analytical questions
Contribute to training and outreach efforts, including completion of timely commentaries, podcasts, and webinars

A bachelor’s degree in Business, Economics, Information Technology, or a related field of analytical studies
Typically 3-5 years of relevant experience (role level expectation)
Financial Institutions and Structured finance industry experience focusing on ABS or credit analysis experience in funds finance within the financial services industry, including banking
Comfort considering relative creditworthiness outside of a typical criteria context
Ability to consider new asset and structural risks in the context of our rating principles
Diligent and intellectually curious self-starter with a strong work ethic and a drive to succeed
Strong proficiency with Excel, financial models, and financial data
Strong understanding of financial markets and their relationship to S&P products
Excellent verbal and written communication skills
Ability to analyze and solve non-routine problems in a timely and insightful manner
Ability to multi-task and manage deadlines under time pressure
Strong interpersonal skills and ability to work well in a collaborative team
Excellent research skills
Experience with cash flow modeling for esoteric assets, including triple net, data centers, private equity, transportation ABS
Preferred: Knowledge of cash flow modeling and programming languages (e.g. C++, MATLAB, Python, R or VBA) and strong Excel skills
Preferred: Prior experience with data analysis and cash flows
Right to Work Requirements: role limited to persons with indefinite right to work in the United States.