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: 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 Lead Data Scientist on Enova's Fraud Analytics team, you'll be the quantitative engine of our fraud prevention effort. You'll 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. It's 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 Manage team members, and help coordinate their work with business priorities. Requirements: 5+ 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 Previous leadership experience mentoring teammates, driving team initiatives, and shaping priorities. Compensation: The budgeted annual salary range for this position is $106,000 to $140,000 . 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 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 day…Plus 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 Colossus™platform. We serve non-prime consumers and businesses alike, while offering world-class technology and services to traditional banks—in order to create accessible credit for millions. Being a values-driven organization is at the core of Enova’s 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 Enova’s 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.

Requirements

Must-haves

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.
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
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
Manage team members, and help coordinate their work with business priorities.
5+ 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
Previous leadership experience mentoring teammates, driving team initiatives, and shaping priorities.
PTO & paid holidays off
Sabbatical program (for eligible roles)
Summer hours (for eligible roles)
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 day…Plus so much more!

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

pythonsqlaimachine learning

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto

Parental Leave