Enova Analytics Intern at Enova working on real projects impacting business and production. Responsible for developing and testing models, conducting ad hoc analysis, and presenting findings to executives.
Responsibilities
As an Analytics Intern, you’ll immerse yourself in the Analytics department and get a unique experience by working on real projects that impact our day-to-day business and production. We are problem-solvers, self-directors and action-oriented thinkers so you’ll be expected to hit the ground running and own your projects, with guidance from your manager and teammates.
You’ll be placed on one of our core teams, however, you’ll also have opportunities to collaborate with other Analytics teams, giving you a broad view of our work and helping you discover where you might want to focus after graduation. When you’re not performing your Analytics responsibilities you’ll be having fun, learning professional skills and networking with the rest of Enova.
This internship will begin June 15, 2027 - August 19, 2027. This role is hybrid and eligible candidates must be able to work in the Chicago office 3 days per week.
Learn the technologies, strategies and analytic techniques we use here at Enova
Develop, enhance and test the company’s models for use in determining the appropriate lending criteria and verification procedures
Conduct ad hoc analysis using statistical and financial tools to recommend risk management, marketing and operational strategies
Work with senior management to develop key performance indicators (KPI's) to ensure that our products are performing optimally
Present on your project findings and results to key executives and the department at the conclusion of your internship
Qualification
Acceptable Graduation Dates
Required
Acceptable Graduation Dates: December 2027 - June 2028
Been working toward a Bachelor’s or Master's Degree in Statistics, Mathematics, Economics, Computer Science, or a related field
Advanced programming skills and the ability to write customized programs for meaningful data analysis and modeling (Python)
Experience working with relational databases, such as SQL
Knowledge in statistical methods and machine learning models
Ability to communicate technical concepts to a non-technical audience
Local to the Chicagoland area or willing to relocate
