Analytics Internship Summer 2022
The health and safety of Enova’s employees is our number one priority. Enova has not yet determined a return to office date, but will require all employees to be fully vaccinated for COVID-19 before such date. Proof of vaccination will be required. Enova will consider exceptions to this policy on a case-by-case basis for those who need accommodation due to medical reasons or sincerely-held religious beliefs or practices.
About the role:
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 four workgroups (Portfolio, Business Intelligence, Data Services, or Fraud) and, while that will be your primary team for the summer, you’ll gain exposure to and work with the other groups throughout your internship so you leave Enova with a strong understanding of what we do and what you’d like to focus on post-graduation. When you’re not performing your Analytics responsibilities you’ll be having fun, learning professional skills and networking with the rest of Enova.
What you'll be doing:
- 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
We get excited about you if you have:
- Working towards a Bachelor's degree, Master's or PhD in a related field of study with a planned graduation of Winter 2022 or Spring 2023
- Advanced programming ability to write customized code for meaningful data analysis in at least one programming language
- Working knowledge of SQL
- Proficiency in spreadsheet applications and advanced use of statistical applications and databases
- Experience communicating technical concepts to a non-technical audience
About the Analytics team:
We live and breath data at Enova, and our 70+ person Analytics team is at the heart of it all. They use cutting-edge machine learning and advanced modeling techniques to drive business value in a number of different ways. Depending on the team, that could mean building a state-of-the-art credit risk model; it could mean spotting patterns in data that indicate fraud; it could mean researching a brand new type of algorithm we’ve never even used before. Whatever it is, it’ll typically be used to make real-time decisions on our website. What makes us different from Analytics teams elsewhere? We’re language agnostic here which means YOU get to pick the tool that works best for you and the analysis at hand. The team primarily uses Python, R, SAS, and SQL but if you think another tool is right for your project, go for it.
About Enova:
Enova is a leading financial technology company providing online financial services through its AI and machine learning powered lending platform. Enova serves the needs of non-prime consumers and small businesses, who are frequently underserved by traditional banks. Enova has provided more than 7 million customers with over $40 billion in loans and financing with market leading products that provide a path for them to improve their financial health. Want to learn more? Just ask any of our almost 1,500 employees.
Our goal at Enova, we believe that diversity and inclusion among our teammates is critical to our success as a global company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. It is our policy to provide equal employment opportunity for all persons and not discriminate in employment decisions by placing the most qualified person in each job, without regard to any other classification protected by federal, state, or local law. California Applicants: Click here to review our California Privacy Policy for Job Applicants.
