Staff Machine Learning Engineer, Credit Products

Own the full credit modeling stack from data ingestion through production decisioning. Evaluate alternative external data signals, apply rigorous scientific methods to underwrite new customer segments, deploy models into production, scale data pipelines and MLOps infrastructure, troubleshoot real-time model issues, and improve credit policy while balancing innovation with regulatory and compliance requirements.

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

Requirements

• At least 8 years of related experience with a Bachelor's degree, 6 years with a Master's degree, or 3 years with a PhD, focused on developing and deploying machine learning and statistical models in production
• Degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or another technical field
• 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 skills balancing business, technical, and regulatory constraints
• Familiarity with tree-based models and gradient boosting is helpful but not required

Benefits

• Remote work
• Medical insurance
• Flexible time off
• Retirement savings plans
• Modern family planning