Securitized Products Group - Business AI Strategist - Vice President

JPMorgan Chase & Co.•New York, NY

3h•$156,750 - $200,000

About The Position

Help modernize how CMBS deals get done. In this role, you’ll partner across banking, trading, underwriting, and technology to simplify workflows, strengthen data quality, and deploy AI-enabled tools that improve speed, accuracy, and decision support across origination, execution, and asset management. This role sits within the CMBS business and focuses on applying AI, analytics, and automation to improve loan origination, deal execution, portfolio monitoring, and reporting. You will evaluate current processes end-to-end, identify bottlenecks and data gaps, and build scalable solutions—integrated into existing systems—with strong controls and human review where required. The position offers broad exposure to CRE finance and structured credit.

Requirements

Bachelor’s degree or higher in a quantitative field (e.g., CS, Engineering, Data Science, Math, Finance, Real Estate)
Production experience applying machine learning and large language models to real business workflows
Strong Python skills; ability to build and maintain reliable tools and data pipelines
Experience working with structured datasets (loan/bond-level, collateral, property financials) and unstructured documents (leases, rent rolls, appraisals, loan/offering documents, servicer reports)
Ability to break down complex workflows, find root causes, and deliver scalable improvements with minimal supervision
Strong written and verbal communication; able to explain technical topics to credit professionals and non-technical partners
Strong partnering skills across banking/trading/underwriting/technology to deliver usable solutions at scale

Nice To Haves

Experience integrating AI/analytics into front-office workflows and enterprise systems; rapid prototyping in deal-driven environments
Prior experience in CRE origination/underwriting/securitization/surveillance or drafting structured credit investment materials
Working knowledge of CMBS structures and CRE credit workflows (conduit and single-asset/SASB; related documentation/monitoring)
Familiarity with CRE financing facilities (e.g., warehouse/repo), including collateral monitoring and mark-to-market processes

Responsibilities

Build a working understanding of CMBS and CRE deal workflows and identify high-impact opportunities to improve execution
Design and implement ML/LLM solutions to reduce turnaround time, minimize errors, and improve insight quality
Develop document intelligence tools to summarize and extract structured data from legal/underwriting/deal materials
Create controlled draft-generation workflows for front-office content (e.g., investment summaries, credit memos, IC materials) with human review
Design and maintain Python tools and data pipelines for market monitoring, deal sourcing, and scenario analysis
Deliver recurring pipeline/portfolio/performance reporting to support investment decisions and asset management
Partner with Technology and stakeholders to embed solutions into origination, distribution, risk, and asset management systems (including third-party data where appropriate)