CRE AI Analyst

U.S. Bank • Minneapolis, MN

1d

About The Position

We are seeking a highly analytical and technically sophisticated Commercial Real Estate (CRE) Prompt Engineer & Data Analyst to drive the development and deployment of AI-enabled tools across our CRE credit, underwriting, and portfolio management functions. This role sits at the intersection of data science, credit analytics, and generative AI, responsible for designing high-quality AI prompts, improving model outputs, and translating complex CRE data into actionable insights for senior decision-makers. The ideal candidate combines deep CRE domain knowledge with hands-on experience in data analytics, AI tools (LLMs), and workflow automation, enabling scalable improvements in underwriting efficiency, portfolio monitoring, and risk management.

Requirements

• Deep CRE domain knowledge
• Hands-on experience in data analytics
• Hands-on experience with AI tools (LLMs)
• Hands-on experience with workflow automation

Responsibilities

• Design, test, and optimize prompt frameworks for large language models (LLMs) to support: Credit memos and underwriting narratives, Deal screening and risk identification, Portfolio monitoring summaries, Market and asset-level analysis.
• Develop repeatable prompt templates and workflows to ensure consistency, explainability, and auditability.
• Evaluate model outputs for accuracy, bias, and alignment with credit policy.
• Partner with technology teams to embed AI tools into underwriting and portfolio systems.
• Analyze loan-level, property-level, and market data to generate actionable insights on: Portfolio performance (NOI trends, DSCR, LTV migration), Sector exposure (multifamily, office, industrial, retail, specialty), Geographic and MSA-level risk concentrations.
• Build dashboards and reporting to support: Credit committees, Portfolio reviews, Regulatory and risk management reporting.
• Use statistical and analytical techniques to identify early warning signals and emerging risks.
• Partner with credit officers and underwriters to streamline underwriting workflows via automation and AI.
• Standardize data inputs and outputs across deal teams.
• Reduce manual effort in memo writing, data aggregation, and analysis.
• Translate credit policy and underwriting standards into machine-readable logic and prompts.
• Support the development of structured CRE data environments, including: Data ingestion, cleaning, and normalization processes, Integration of internal and external data sources (e.g., market comps, rent data).
• Ensure adherence to data governance, model risk management (MRM), and compliance standards.
• Document methodologies, assumptions, and prompt logic for auditability.

Benefits

• Healthcare (medical, dental, vision)
• Basic term and optional term life insurance
• Short-term and long-term disability
• Pregnancy disability and parental leave
• 401(k) and employer-funded retirement plan
• Paid vacation (from two to five weeks depending on salary grade and tenure)
• Up to 11 paid holiday opportunities
• Adoption assistance
• Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed