about 6 hours ago
Base Salary
$229k - $343k/yr
Responsibilities
- Apply a scientific approach to underwriting new customer segments using alternative data sources.
- Lead ML Operations initiatives to enhance modeling capabilities.
- Design and implement the full credit modeling stack for decisioning.
- Utilize data science techniques to clarify business decisions from messy datasets.
- Identify and execute improvements to credit policy for better outcomes.
- Support team members with model updates and troubleshooting in production.
- Operate within a regulated banking framework while innovating.
Requirements
- Minimum of 8 years of experience with a Bachelor's degree, or 6 years with a Master's, or a PhD with 3 years of experience.
- Degree in a technical field such as Computer Science, Mathematics, or Engineering.
- Strong quantitative intuition and data visualization skills.
- Full-stack proficiency preferred, covering data pipelines to software architecture.
- Ability to communicate effectively with technical and non-technical audiences.
- Pragmatic problem-solving approach balancing business, technical, and regulatory constraints.
- Experience with tree-based models and gradient boosting is a plus.
Benefits
- Remote work options available.
- Comprehensive medical insurance.
- Flexible time off policy.
- Retirement savings plans.
- Modern family planning support.