Lead Data Scientist (Hybrid)
Company websiteenova.com (Enova International, opens in new tab)
Base salary $106K to $140K
Employer-published annual base salary, USD. Advertised base range in Chicago, IL
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationChicago, IL
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (1 h ago) · observed since
About this job
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.
Source: Enova International on Greenhouse · View original posting (opens in new tab)
Pay in context
This role's base floor ($106,000) is above 13% of the 94 Data & ML roles in Illinois listed on this site; 1 other lists the same floor. Their median floor is $137,000; the middle half runs from $116,685 to $160,000.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.
This listingLead Data Scientist (Hybrid)$106K to $140K
Underwriting Manager (Hybrid)$102K to $148K
Manager, Strategy & Operations - Corporate Development (Hybrid)$115K to $165K
Manager, Global Operations Analytics (Hybrid)$120K to $140K
Assistant General Counsel (Hybrid)$122K to $165K
Department Manager - B2B Collections (Hybrid)$140K to $160K
Senior Manager, Partnership Account Management (Hybrid)$150K to $185K
Chart as a table
| Role | Published base |
|---|---|
| Lead Data Scientist (Hybrid) (this listing) | $106K - $140K |
| Underwriting Manager (Hybrid) | $102K - $148K |
| Manager, Strategy & Operations - Corporate Development (Hybrid) | $115K - $165K |
| Manager, Global Operations Analytics (Hybrid) | $120K - $140K |
| Assistant General Counsel (Hybrid) | $122K - $165K |
| Department Manager - B2B Collections (Hybrid) | $140K - $160K |
| Senior Manager, Partnership Account Management (Hybrid) | $150K - $185K |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-10-26
Where this pay comes from
Location as the employer wrote it: Chicago, IL
The budgeted annual salary range for this position is $106,000 to $140,000. Actual annual salary will be determined based on qualifica
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
