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S&P Global Ratings in London leads CMBS credit analysis for a defined portfolio, mentoring junior analysts and driving AI-enabled workflows to deliver faster, more rigorous insights. The role emphasizes high-quality analytical delivery and governance in a dynamic market environment.
The position requires extensive CRE/CMBS experience, strong communication skills, and a commitment to responsible AI practices within a robust governance framework. Hybrid work with office presence is expected.
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.
An S&P Global employee at this level would typically have 5 to 10 years of relevant experience in commercial real estate finance, structured finance, or CMBS analysis. 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.
At S&P Global Ratings, our analyst-driven credit ratings, research, and sustainable finance opinions provide critical insights that are essential to translating complexity into clarity so market participants can uncover opportunities and make decisions with conviction. By bringing transparency to the market through