I am currently working on an exciting technical Credit Leadership opportunity with a top-tier fintech. They are looking for a hands on data scientist with extensive experience in consumer credit risk modeling, acquisition models, and pricing models. The ideal candidate will have strong expertise in XGBoost, Python, and Scikit-learn, along with a proven track record of building or deploying decisioning models for credit cards, HELOC, or auto lending.
This is a high-impact opportunity to collaborate with top talent, leverage cutting-edge technology, and thrive in a fast-paced, innovative environment.
Key Qualifications:
✔ At least 5 years in Credit Risk for Card Acquisitions, Loan Origination, Consumer Lending, or Risk Mitigation
✔ Proven experience developing or deploying credit risk models, line sloping, early risk mitigation, or lifecycle risk projections
✔ Currently practicing data scientist (hands-on modeling role)
✔ Background in top-tier universities (CS, Math, Physics preferred)
✔ Experience at leading banks, fintechs, or lending institutions
✔ Mortgage/HELOC experience is a plus
