Data Scientist - Portfolio Consumer (Hybrid)

Confirmed live in the last 24 hours

Enova International

Compensation

$87,000 - $110,000/year

Chicago, IL

Hybrid

Posted April 9, 2026

Job Description

We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas or take over sponsorship at this time.

About the role:
We are seeking a talented Data Scientist to join our Credit Risk Modeling team. In this role, you will develop, enhance and test our models for use in new customer acquisition and managing our existing customer portfolio. Our team focuses on ways to drive growth while balancing risk. You will independently dive into open-ended problems in order to present recommendations to executives and actively manage the credit models and offer generation that power Enova’s business. You will demonstrate the ability to interpret and organize data, and communicate it effectively to cross functional teams to solve business problems, provide requirements, and support implementation.
Our models power our lending decisions, providing critical risk insight to enable competitive and profitable loan offers. Your role will be essential in improving and managing this fundamental area of our business.
Key responsibilities:

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 and product configurations, 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
Ability to improve your work flow and delivery timelines with AI tools.
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

Compensation:

The budgeted annual salary range for this position is $87,000 to $110,000. Actual annual salary will be determined based on qualifications, skills, experience, and level assessed during the hiring process and may fall outside of the range shown. Additional compensation for this role may include a bonus. All full-time employees are eligible to participate in Company benefits, described in more detail here.

Benefits & Perks:

Our hybrid roles require in-office work Tuesday through Thursday, with remote flexibility on Mondays and Fridays. This schedule fosters collaboration, team connection, and strategic planning, enhancing communication and effectiveness to drive results.
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
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