About this role
Join JPMorganChase’s US CMBS Strategy team as an Associate, where you’ll help shape insights and strategy for institutional investor clients. You will be part of the Commercial & Investment Bank’s research organization delivering analysis and analytics on commercial mortgage-backed securities.
Our coverage spans Agency CMBS (GSE and Ginnie Mae-guaranteed) and private label (non-Agency) CMBS. The role involves developing views grounded in commercial real estate and CMBS credit fundamentals, market technicals, and deal structuring.
Job responsibilities
• Write and produce regular research reports, including flagship publications and special topic notes
• Partner with economists and strategists to develop forecasts and communicate market views
• Build and enhance analytical frameworks and datasets to support strategic initiatives
• Engage internal sales and trading teams and external institutional clients to communicate research and respond to requests
• Contribute to trade idea generation using valuation frameworks and anticipated market catalysts
• Monitor market developments to keep analyses and viewpoints current and decision-useful
Required qualifications, capabilities, and skills
• Bachelor’s degree in a related field
• Strong quantitative and analytical skills, with the ability to interpret complex datasets and extract actionable insights
• Proficiency in Python and advanced Microsoft Excel for data analysis and workflow automation
• Excellent written and verbal communication skills, with ability to explain complex concepts clearly to varied audiences
• Strong collaboration skills and ability to work effectively across partners (e.g., economists, strategists, sales & trading)
• Ability to manage multiple priorities and deadlines in a fast-paced, dynamic environment
• Intellectual curiosity, high sense of urgency, strong work ethic, and a team-oriented mindset
Preferred qualifications, capabilities, and skills
• 2–4 years of fixed income experience
• Specialization in economics, mathematics, engineering, or data science
• Familiarity with AI workflows and applied analytics methods
• Experience applying valuation frameworks and translating analysis into trade ideas