Overview
In this role you will lead analytical coverage of a defined CMBS portfolio from London, mentoring junior analysts and advancing AI-enabled workflows. You will produce independent credit opinions to support issuers and investors, driving insights on performance trends and market conditions. You’ll shape CMBS and CRE research, collaborating with cross-functional teams to deliver rigorous, timely analyses. This is a chance to contribute to market-leading insights and to push responsible use of AI in credit analysis.
Pay / Benefits
- Health & Wellness
- Flexible Downtime
- Continuous Learning
- Invest in Your Future
- Family Friendly Perks
- Beyond the Basics
Responsibilities
- Lead end-to-end CMBS portfolio analysis including new transactions and surveillance
- Mentor and coach junior analysts on credit fundamentals, models, and quality standards
- Coordinate workflows, manage capacity and risk, and drive process improvements
- Use approved generative AI tools to accelerate research and drafting with strong validation
- Translate data and analysis into market-facing narratives for issuers and investors
- Maintain strict methodology, confidentiality, and data governance; escalate risks
- Embed responsible AI practices with governance and human oversight across workflows
Key requirements
- Specialized CRE/CMBS experience with transaction analysis and portfolio surveillance
- Strong credit and financial analysis skills for structured finance
- Proven ability to coach juniors and deliver high-quality outputs with limited oversight
- Experience integrating generative AI or LLMs into analytical workflows within governance frameworks
- Effective written and verbal communication for committee-ready documentation
- Continuous improvement mindset; ability to standardize processes through tooling or automation
- Sound judgment on responsible AI use, including validation, bias awareness, and data protection
- leadership
- clear communication
- collaboration
- commercial real estate finance
- CMBS credit analysis
- financial modeling
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