RPM is looking to evaluate potential real estate acquisitions using data modeling, market intelligence, and machine learning insights, and continue to add value post-close through performance tracking and operational optimization.
Requirements
- Two years of experience in real estate analysis, data analytics, or AI/ML application
- Knowledge of AI/ML tools (e.g., OpenAI, LangChain, vector databases)
- Knowledge of real estate investment metrics (e.g., NOI, IRR, cap rates, DSCR)
- Skilled with BI tools (Power BI, Tableau, or Looker)
- Skilled in financial modeling and analytics
- Skilled in working with large, unstructured datasets (e.g., PDFs, Excel files, APIs)
- Ability to synthesize complex datasets to evaluate risk, return, and performance potential
Responsibilities
- Build and maintain financial and data models to evaluate new real estate investment opportunities
- Use AI tools and APIs (e.g., GPT, computer vision, predictive analytics) to extract, analyze, and summarize data from offering memorandums, rent rolls, and third-party reports
- Develop dashboards and scoring systems to assess deal attractiveness based on historical performance, market trends, and risk factors
- Analyze market, demographic, and economic data to support underwriting assumptions
- Automate sourcing, screening, and comparison of opportunities from brokers and public listings
- Create real-time dashboards to monitor asset performance (occupancy, rent growth, expenses, NOI, etc.)
- Develop predictive models to flag risks or opportunities across the portfolio (e.g., tenant churn, capex overages)
Other
- Bachelor’s degree in Data Science, Finance, Real Estate, Computer Science, Economics, or related field. Experience may substitute for education.
- Ability to communicate effectively both verbally and in writing
- Ability to creatively apply AI and data tools to improve sourcing, underwriting, and portfolio management processes
- Ability to manage multiple tasks across acquisitions and asset management timelines
- This is a hybrid role, requiring the associate to work in one of our corporate or regional offices 4 days per week
