Senior Applied Scientist, Property Analytics
Figure uses blockchain technology to provide lending, trading, and investment solutions for consumer credit and digital assets.
Funding history
Investors
About Figure
Figure operates a vertically integrated blockchain-based capital markets platform for consumer assets and digital assets. The platform enables home equity lending, crypto-backed loans, tokenized asset trading, and yield-generating products through the Provenance Blockchain. Figure serves consumers, institutional partners, and investors across the United States.
Skills
About the Role
You will tackle complex research and machine learning problems around automated valuation models, asset valuation, and process optimization. You'll lead technical direction, mentor teammates, and partner with MLOps, product, credit risk, and capital markets to take initiatives from research to production.
Requirements
- Ph.D. or Master's in a quantitative discipline with 5+ years (or 3+ with Ph.D.) deploying ML models in production
- Track record developing models at account, customer, or real estate asset level
- Hands-on advanced machine learning, deep learning, and spatial analytics
- Production-level Python, SQL, and R
- Technical leadership and mentoring experience
- Excellent communication skills
- AVM experience (preferred)
- Survival analysis or spatial-temporal forecasting (preferred)
- Computer vision or NLP experience (preferred)
- Spark, PyTorch, TensorFlow (preferred)
- Monte Carlo, Bayesian inference, causal ML (preferred)
- MLOps, AWS, GCP, feature stores (preferred)
- FRM or CFA progress (preferred)
- Adhere to company security policies and complete security training
Responsibilities
- Lead design, development, and deployment of AVM systems
- Architect machine learning, deep learning, and statistical models for asset valuation
- Establish frameworks for model monitoring and automated retraining
- Build analytical tools for risk, underwriting, and capital markets teams
- Partner with data infrastructure and MLOps teams on feature stores and real-time inference
- Design data features from structured, unstructured, and multimodal data
- Perform exploratory data analysis and recommend improvements
- Refactor and optimize analytical solutions
Benefits
- Medical, dental, and vision coverage with 100% employer-paid premiums on select plans
- HSA, FSA, Dependent Care FSA, 401(k), and commuter benefits
- Employer-paid life and disability insurance
- 11 observed holidays and PTO plan
- Up to 12 weeks of paid family leave
- Continuing education reimbursement
- 25% annual bonus target, paid quarterly
- Company equity in the form of RSUs
