Develop and refine proprietary models to assess customer credit profile
Collaborate closely with the Strategy and Operations team to drive new initiatives
Design and implement A/B testing frameworks to evaluate the performance of our models, analyzing outcomes to drive continuous improvement
Communicate insights and recommendations to senior management, providing a data-driven perspective on customer risk and product development strategies

Requirements

Degree in Statistics, Mathematics, Economics, Computer Science, or a related field
3+ years of experience in Data Science, Analytics or related field
Advanced programming skills and the ability to write customized programs for meaningful data analysis and predictive modeling (Python)
Experience working with relational databases, such as SQL
Excellent knowledge in applied statistical methods and machine learning models
Strong problem-solving skills and the ability to work independently in a fast-paced, dynamic environment
Experience in financial services, fintech, or a related industry preferred

Benefits

Health, dental, and vision insurance including mental health benefits
401(k) matching plus a roth option (U.S. Based employees only)
PTO & paid holidays off
Sabbatical program (for eligible roles)
Summer hours (for eligible roles)
Paid parental leave
DEI groups (B.L.A.C.K. @ Enova, HOLA @ Enova, Women @ Enova, Pride @ Enova, South Asians @ Enova, APEX @ Enova, and Parents @ Enova)
Employee recognition and rewards program
Charitable matching and a paid volunteer day…Plus so much more!

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonSQLA/B testingpredictive modelingapplied statistical methodsmachine learning modelsdata analysisdata-driven insightscustomer credit assessmentmodel performance evaluation

Soft Skills

problem-solvingindependent workcommunicationcollaborationstrategic thinkingcontinuous improvementanalytical thinkingadaptabilityinitiativeleadership