Manager of Data Science, Credit & Fraud Risk Modeling

📋 Description

• Feature engineering on internal/external data for credit signals
• End-to-end credit risk model development
• Data preparation and pipeline ownership
• Evaluate third-party data vendors and scoring products
• Apply ML research to production risk problems
• Model implementation and validation with engineering

🎯 Requirements

• Master's/PhD in quantitative field
• 5+ years in data science/ML with credit risk focus
• Advanced Python for modeling; SQL for data extraction
• ML for structured/tabular data: GBM, ensembles, trees
• Experience in consumer lending/fintech preferred
• Model risk governance and validation teamwork

🎁 Benefits

• Salary: competitive $95,000-$140,000
• Healthcare coverage (80%), dental/vision included
• 401k retirement plan
• Paid time off from day one