Associate Director – Structured Finance; CMBS

Grade Level (for internal use):

12

S&P Global Ratings' Structured Finance CMBS team evaluates the credit risk of securitized commercial mortgage structures, analyzing underlying asset performance, structural protections, cash-flow mechanics, and downside stress scenarios to produce independent credit opinions that help issuers and investors compare complex instruments. Based in London, you will lead analytical coverage of a defined CMBS portfolio, mentor junior analysts, and drive the responsible adoption of AI-enabled workflows — contributing to market insights on performance trends, issuance conditions, and emerging themes in commercial real estate.

You will contribute to independent credit opinions that the commercial mortgage securitization market depends on. Your analytical leadership will maintain the quality and consistency of S&P Global's CMBS coverage, your coaching of junior analysts will deepen the team's commercial real estate credit expertise, and your contribution to AI-enabled workflows will help the team deliver faster, more rigorous, and more consistent insights.

• Act as a senior reference for junior analysts, coaching on CMBS credit fundamentals, financial modeling, data quality, and responsible AI use; coordinate portfolio workflows, proactively manage capacity and quality risks, and drive continuous improvement through refined processes and the governed rollout of new tools.

• Deliver end-to-end analytical execution across a defined CMBS portfolio — including new transaction analysis and ongoing surveillance — reconciling credit inputs, documenting assumptions and model changes, and maintaining consistently high standards of analytical quality and clarity.
• Use approved generative AI tools to accelerate research, comparisons, and drafting, with rigorous validation and full accountability for all outputs.

• Translate data, analysis, and research into market-facing narratives for issuers, investors, and senior market participants; build trusted stakeholder relationships and contribute to thought leadership on CMBS and commercial real estate trends.

• Maintain strict adherence to methodology, confidentiality, and data governance requirements; elevate emerging risks early and embed responsible AI practices with appropriate governance and human oversight throughout all workflows.

• Specialized experience in commercial real estate finance and/or CMBS, including leading new transaction analysis and ongoing portfolio surveillance.
• Strong credit and financial analysis skills in structured finance, with the ability to translate complex CMBS data into clear, decision-useful narratives grounded in evidence and sound judgment.
• Proven ability to coach and advise junior colleagues on credit fundamentals, operational processes, and quality standards, with a track record of delivering high-quality outputs with limited oversight.
• Practical experience integrating generative AI or large language model tools into analytical workflows to drive productivity, with the ability to shape AI and automation use cases within appropriate governance and change management frameworks.
• Effective written and verbal communication skills for committee-ready documentation and engagement with issuers, investors, and market participants.
• A continuous improvement mindset, with experience simplifying and standardizing analytical processes through tooling, automation, or workflow redesign.
• Sound judgment on responsible AI use, including rigorous validation practices, bias awareness, data…