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Senior Data Scientist Fraud (Hybrid)

Enova


Job Location:

Chicago, IL - USA

Monthly Salary: Not provided by the employer
Posted: 30 July 2026 (30+ days ago)
Application Deadline: 27 October 2026
Vacancies: 1 Vacancy

Job Summary

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:

Staying a step ahead of fraudsters takes an inquisitive mind an appetite to dig deeper and the imagination to shed new light on how we fight fraud and here it all starts with data. As a Senior Data Scientist on Enovas Fraud Analytics team youll be the quantitative engine of our fraud prevention effort. Youll develop enhance and test the models and pattern-recognition pipelines that surface emerging fraud trends across our lending products then work hand-in-hand with our Fraud Operations team who investigate the individual applications your models flag. Their findings (the false positives and false negatives) come back to you to sharpen the identifying characteristics and pivot the approach. Its a fast iterative loop and you sit at the center of it.

The broader Enova Analytics department consists of 100 quantitative professionals dedicated to using the latest cutting-edge techniques to drive business value: providing customers with access to fast trustworthy credit while managing risk. Our company-wide data-driven culture means you spend less time presenting and more time on the fun part: crunching data.

Key responsibilities:

  • Develop deploy and monitor models and pattern-recognition algorithms to detect emerging and shifting fraud trends across one or more lending products
  • Write customized programs in Python for meaningful data analysis and predictive modeling and query large complex datasets in SQL
  • Partner closely with Fraud Operations through the full detection loop pulling data together surfacing suspicious patterns and incorporating their investigation results to refine features and reduce false positives/negatives
  • Conduct ad hoc analysis on large complex datasets to scope new or changing fraud trends and recommend risk verification and operational strategies
  • Communicate findings clearly to cross-functional partners provide requirements and support implementation
  • Help improve underwriting and verification processes from a fraud-risk perspective
  • Apply AI in production applications to streamline fraud prevention processes
  • Mentor and develop team members and help coordinate their work with business priorities.

Requirements:

  • 4 years of experience in analytics applied machine learning or quantitative modeling
  • Hands-on fraud experience required fraud analytics fraud strategy or risk modeling ideally in fintech or lending
  • Advanced Python and SQL; experience owning models end-to-end design through deployment and monitoring on large-scale transactional data
  • Track record of translating analysis into business strategy and communicating with senior stakeholders
  • Aspiration to grow into a people leadership role through mentoring teammates driving team initiatives and shaping priorities.

Compensation:

The budgeted annual salary range for this position is$96000 to $125000.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 detailhere.

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
  • 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 dayPlus so much more!

About Enova

Enova International is a leading financial technology company that provides online financial services through our AI and machine learning-powered Colossusplatform. We serve non-prime consumers and businesses alike while offering world-class technology and services to traditional banksin order to create accessible credit for millions.

Being a values-driven organization is at the core of Enovas success. We live our values by listening to our customers challenging assumptions thinking big setting high expectations and hiring and developing the best. Through our values and our commitment to making Enova an awesome place to work we maintain an environment of inclusion and culture where our employees can thrive. You can learn more about Enovas values and culture here.

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.


Required Experience:

Senior IC


About Company

Enova is the regional leader in integrated energy and multi-technical services, delivering comprehensive services to its clients. It provides performance-based Energy & Facilities Management solutions that help customers achieve their financial, operational, and environmental targets. ... View more

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