Design and deploy approval, qualification, and segmentation strategies.
Develop underwriting policies and minimum acceptance criteria.
Create credit limit frameworks to optimize lifetime value with risk control.
Design pricing and rate strategies with testing for loss coverage and uptake.
Balance data collection value against customer friction and cost.
Partner with manual underwriting to build a hybrid risk framework and feedback loops.

🎯 Requirements

5+ years in commercial risk data science and credit strategy.
3–4 years designing and managing MCA credit strategies.
Production deployment and monitoring experience; ML Ops preferred.
Master’s degree in Data Science, Statistics, Economics, Finance, or related field.

🎁 Benefits

Medical, vision, and dental benefits.
FSA for healthcare and dependent care.
401(k) with matching contributions.
Paid time off, sick leave, and holidays.
Paid parental leave.
Learning stipend and EAP.

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