Quantitative Trading & Research - CMBS - Analyst

Modernize how CMBS deals get done.

Partner across Banking, Trading, Underwriting, and Technology to streamline workflows, strengthen data quality, and deploy AI-enabled tools that accelerate origination, execution, and asset management.

Job Summary

As an Analyst on the Quantitative Trading & Research team, you will be an embedded Quantitative Strategist within the CMBS business, applying AI engineering, analytics, and automation across the full deal lifecycle - origination, execution, portfolio monitoring, and reporting.

You will have direct exposure to senior investment professionals and broad coverage of CRE finance and structured credit markets.

Job Responsibilities


* Build working knowledge of CMBS/CRE deal workflows; target high-impact automation opportunities


* Design and deploy ML/LLM solutions that reduce turnaround time, minimize errors, and sharpen analytical insight


* Build document-intelligence tools to summarize and extract structured data from legal, underwriting, and ac Materials


* Deliver controlled draft-generation workflows for front-office content (investment summaries, credit memos, IC materials) with human-in-the-loop review


* Build Python tools and data pipelines for market monitoring, deal sourcing, scenario analysis, and portfolio performance reporting


* Partner with Technology and business stakeholders to embed solutions into origination, distribution, risk, and


* asset-management systems, including third-party data platforms

Required Qualifications, Capabilities, and Skills


* Bachelor's or higher in a quantitative discipline (CS, Engineering, Data Science, Finance, Real Estate)


* 3+ years as a quantitative strategist or in a related role - quantitative finance, data engineering, or applying ML/LLMs to production workflows


* Strong Python; proven ability to build reliable tools and pipelines on a centralized data warehouse and platform framework


* Hands-on with structured and unstructured data; familiarity with vector databases, fine-tuning, evaluation


* frameworks, and RAG/MCP patterns for LLM integration


* Ability to decompose complex workflows, identify root causes, and deliver scalable improvements with minimal supervision


* Strong written and verbal communication; able to convey technical concepts to credit and non-technical partners


* Strong cross-functional partnering across Banking, Trading, Underwriting, and Technology

Preferred Qualifications, Capabilities, and Skills


* Experience embedding AI and analytics into front-office workflows on AWS and enterprise systems; rapid prototyping in deal-driven environments


* Working knowledge of and background in CMBS/CRE origination, underwriting, securitization, surveillance, or structured credit modeling


* Familiarity with CMBS relative value analytics, financing facilities, collateral monitoring, and mark-to-market

JPMorganChase, one of the oldest financial institutions, of...