About the Role
You will own the full credit modeling stack from data ingestion through production decisioning. You will evaluate alternative external data signals and apply rigorous scientific methods to underwrite new customer segments. You will design, build, and deploy models into production, scale data pipelines and MLOps infrastructure, and troubleshoot real-time model issues. You will identify and implement material improvements to credit policy and balance rapid innovation with regulatory and compliance requirements.
Requirements
- Minimum of 8 years related experience with a Bachelor's degree or 6 years with a Master's degree or PhD with 3 years experience developing and deploying ML and statistical models in production
- Degree in a technical field such as Computer Science, Mathematics, Statistics, Physics, or Engineering
- Strong quantitative intuition and data visualization skills
- Full-stack proficiency across data pipelines and production-grade software architecture
- Ability to communicate clearly with technical and non-technical audiences
- Pragmatic problem-solving approach balancing business, technical, and regulatory constraints
- Familiarity with tree-based models and gradient boosting (helpful but not required)
Responsibilities
- Underwrite new customer segments using rigorous scientific methods
- Lead ML operations and infrastructure initiatives
- Design and implement the full credit modeling stack
- Leverage new data sources for modeling using data science techniques
- Identify and execute material improvements to credit policy
- Support model updates and troubleshoot production issues
- Operate within regulated banking constraints balancing innovation and compliance
Benefits
- Remote work
- Medical insurance
- Flexible time off
- Retirement savings plans
- Modern family planning