Enova

HQ
Chicago, IL, US
Total Offices: 3
1,459 Total Employees
Year Founded: 2004
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Offices at Enova

Enova is headquartered in Chicago, IL and has 3 office locations.

Hybrid Workplace

Employees engage in a combination of remote and on-site work.

Enova’s hybrid work model allows employees to work in the office T, W, and TH with the option to work from home on Monday and Friday.

Typical time on-site: 3 days a week

U.S. Office Locations

HQ Chicago, IL, US Denver, CO, US New York, NY, US
HQ
Chicago, IL, US

175 W Jackson - Located right in the Loop and easily accessible from the suburbs or the city.

Jobs At This Office
Denver, CO, US

Across the street from Civic Center Park and a short walk from the Capitol Building.

Jobs At This Office
New York, NY, US

A short walk from the Empire State Building and Times Square, our office is located amid the bustle of midtown Manhattan.

Jobs At This Office

Search the 36 jobs at Enova

Recently posted jobs

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Fintech • Information Technology • Machine Learning • Software • Analytics • Financial Services
The Marketing Intern will perform data analysis to create reports that aid in strategic decision-making, support the marketing team with administrative tasks, manage marketing tools, and contribute to campaign performance analysis. The intern will also participate in team meetings and communicate daily in English.
Fintech • Information Technology • Machine Learning • Software • Analytics • Financial Services
The Compliance Manager oversees compliance examinations and ensures adherence to federal and state regulations in the collections and recovery operations. Responsibilities include developing compliance programs, managing audits, conducting training, and fostering a culture of compliance within the organization.
Fintech • Information Technology • Machine Learning • Software • Analytics • Financial Services
As a Data Scientist for Machine Learning Operations at Enova, you will develop, enhance, and deploy software to build and deploy critical models. The role involves conducting ad hoc analyses, interpreting data, and communicating findings to cross-functional teams while maintaining tools for efficient model lifecycle management.
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