Senior Applied Scientist, Property Analytics to help reinvent real estate lending by tackling complex research and machine learning problems related to automated valuation models (AVMs), asset valuation, and process optimization.
Base Compensation Range: $132,000 - $198,000/yr
25% annual bonus target, paid quarterly
Company equity in the form of RSUs
- Lead the end-to-end design, architecture, development, and deployment of state-of-the-art automated valuation modeling (AVM) systems for novel lending products
- Architect and refine innovative machine learning, deep learning, and statistical models for asset valuation, incorporating spatial-temporal trends, macroeconomic factors, market liquidity, and property risk dynamics
- Establish robust quantitative frameworks for continuous model performance assessment, monitoring, and automated retraining across changing real estate cycles
- Build analytical tools and frameworks to empower cross-functional teams across risk, underwriting, and capital markets
- Partner closely with data infrastructure and MLOps engineering teams to drive initiatives that enhance data capabilities, build feature stores, and streamline real-time inference infrastructure
- Ph.D. or Master’s degree in a quantitative discipline (Computer Science, Data Science, Statistics, Economics, Applied Mathematics, or Machine Learning)
- Nice to have: Automated Valuation Models (AVMs)
- Nice to have: Time-to-event or survival analysis
- Nice to have: Financial econometric modeling
- Nice to have: Spatial-temporal forecasting
- Comprehensive medical, dental, and vision coverage (100% employer-paid premiums on select plans)
- Company HSA
- FSA
- Dependent Care FSA
- 401(k)
Senior Applied Scientist, Property AnalyticsNewFigure Lending · Remote, US