Data Scientist - Portfolio Consumer (Hybrid)
HybridNo visa sponsorship
Core
Develop, enhance, and test credit risk models to manage customer portfolios and drive growth while balancing risk for Enova's lending decisions.
Role type
Senior IC data scientist (credit risk modeling)
Builds
Proprietary credit risk models and A/B testing frameworks
Domain
Fintech / Consumer Lending
Deliverable
production ML models
Required skills
Python, SQL, applied statistical methods, machine learning models, predictive modeling, data analysis
Preferred skills
Financial services experience, fintech experience
Responsibilities
Develop and refine proprietary models to assess customer credit profile; Design and implement A/B testing frameworks to evaluate model performance; Communicate insights and recommendations to senior management on customer risk and product development strategies
Seniority
Mid-Senior, hands-on IC
