Remote opportunity at
FigureSenior Applied Scientist, Property Analytics
Figure Technology Solutions is seeking a Senior Applied Scientist specializing in Property Analytics to join its team on a remote basis. As a market leader in…
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About This Role
Figure Technology Solutions is seeking a Senior Applied Scientist specializing in Property Analytics to join its team on a remote basis. As a market leader in real-world asset tokenization and blockchain-native capital marketplaces, the organization operates platforms like Figure Connect, Democratized Prime, and DART for asset custody and lien perfection. Recognized among top fintech companies by Forbes and CNBC, Figure partners with over 480 entities and has originated more than…
Job Description
Figure Technology Solutions is seeking a Senior Applied Scientist specializing in Property Analytics to join its team on a remote basis. As a market leader in real-world asset tokenization and blockchain-native capital marketplaces, the organization operates platforms like Figure Connect, Democratized Prime, and DART for asset custody and lien perfection. Recognized among top fintech companies by Forbes and CNBC, Figure partners with over 480 entities and has originated more than $30 billion in loans.
In this role, the professional will spearhead research and machine learning initiatives aimed at transforming real-estate lending. Responsibilities center on creating automated valuation models (AVMs), advancing asset valuation strategies, and optimizing processes. The ideal candidate will guide technical direction, mentor team members, and collaborate with product, engineering, credit risk management, and capital markets groups to transition projects from initial research to production environments.
Responsibilities
- Manage the complete lifecycle of automated valuation modeling systems for new lending offerings
- Develop and refine machine learning, deep learning, and statistical approaches incorporating spatial-temporal trends, macroeconomic indicators, and property risk factors
- Set up quantitative structures to evaluate model performance continuously across fluctuating real estate cycles
- Construct analytical utilities to support cross-functional teams in underwriting, risk, and capital markets
- Collaborate with MLOps and data infrastructure personnel to improve real-time inference infrastructure and feature stores
- Create features using structured, unstructured, and multimodal data sources such as spatial features, listing descriptions, and property photographs
- Conduct exploratory analysis and assess frontier artificial intelligence capabilities to enhance valuation accuracy and decisioning frameworks
- Refine and optimize existing algorithms to boost execution efficiency, scalability, and reliability
Requirements
- 5+ years of industry experience with a Master's degree, or 3+ years with a Ph.D., building and deploying production machine learning models
- Demonstrated history of creating statistical and machine learning models focused on customer, account, or real estate asset levels
- Applied working knowledge of deep learning, advanced machine learning techniques, artificial intelligence, and spatial analytics
- Production-level programming abilities utilizing Python, SQL, and R
- Proven experience in technical leadership, cross-functional teamwork, and mentoring junior colleagues
- Effective verbal and written communication skills to convey complex technical concepts to executive leadership and non-technical stakeholders
- Adherence to company security policies, completion of mandatory security training, and reporting of security incidents
Qualifications
- Ph.D. or Master’s degree in a quantitative field such as Computer Science, Data Science, Statistics, Economics, Applied Mathematics, or Machine Learning
- Hands-on background in developing, evaluating, and deploying Automated Valuation Models or automated appraisal systems
- Exposure to survival analysis, time-to-event analysis, financial econometric modeling, or spatial-temporal forecasting
- Experience handling unstructured data including computer vision or natural language processing applications within real estate
- Familiarity with distributed computing frameworks like Spark and modern deep learning frameworks such as PyTorch and TensorFlow
- Experience with causal machine learning, Bayesian inference, or Monte Carlo simulations
- Knowledge of MLOps practices, model serving infrastructure, feature stores, and cloud architectures on AWS and GCP
- Progress toward or completion of financial or quantitative certifications like CFA or FRM
Core Skills
Benefits
- Comprehensive medical, dental, and vision coverage featuring 100% employer-paid premiums for employees and dependents on select plans
- Company Health Savings Account, Flexible Spending Account, Dependent Care FSA, 401(k), and commuter benefits
- Employer-funded life and disability insurance
- Paid time off plan alongside 11 observed holidays
- Up to 12 weeks of paid family leave
- Continuing education reimbursement
- 25% annual bonus target paid quarterly
- Company equity issued as RSUs
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the location or remote work policy for this role?
The position is remote.
What is the salary range and bonus structure for the Senior Applied Scientist?
The base compensation range is USD 132,000 to 198,000 per year, accompanied by a 25% annual bonus target paid quarterly and company equity in the form of RSUs.
What educational background is required?
Candidates must hold a Ph.D. or Master's degree in a quantitative discipline such as Computer Science, Data Science, Statistics, Economics, Applied Mathematics, or Machine Learning.
Does Figure offer work visa sponsorship for this position?
No, Figure will not sponsor work visas for this position.
Sample Interview Questions
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