- Remote, United States +1 more
- Remote
- Full-time · Senior
- $159K–$232K per year
- 2+ years
Build predictive and causal models to improve loan servicing outcomes.
Locations (2)
- United States
- Canada
Compensation
$167,700—$231,800 USD (US) $159,000—$193,000 USD (Canada)
Responsibilities
- Develop and evaluate machine‑learning models for borrower repayment behavior
- Apply causal inference and experimentation to measure intervention impact
- Translate model predictions into decision algorithms
- Partner with Product, Engineering, and Operations on payment experiences and collections strategy
- Identify machine‑learning opportunities in servicing areas
Requirements
- Graduate degree in mathematics, applied mathematics, statistics, physics, econometrics, operations research, computer science, or a related quantitative field
- Nice to have: PhD in a quantitative field