Lead Data Scientist, Enova
Fraud
$106-140k
More information about location
3 days a week in office
AI-driven financial credit provider
Posted today
AI-driven financial credit provider
1001+ employees
Posted today
$106-140k
More information about location
3 days a week in office
1001+ employees
Company mission
To help hardworking businesses and individuals get access to fast, trustworthy credit through its AI-driven credit solutions.
Role
Who you are
- 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
What the job involves
- 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
- 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
Our take
Providing customers with quick access to credit is important for fintech companies to survive in today's financial landscape of open banking, but this is made difficult by high credit rejection rates from banks. However, these decisions are generally made by human assessments of data, which are limited due to the complexity of the modern financial landscape. AI-driven solutions, able to analyse vast amounts of data almost instantly to derive accurate credit risk assessments, present room for improvement in the lending industry.
Enova provides a platform called Colossus that leverages AI and machine learning-enabled analytics to provide businesses and individuals with fast, reliable, and trustworthy credit. The company achieves this by partnering with banks and sharing its data analysis solutions, helping to identify credit opportunities when they would otherwise be missed. There is definitely a market for its product: over 15M customers have funded almost $70B through the platform to date.
Enova has grown strongly in recent years based on the rapid uptake of its product. As the macroeconomic climate remains volatile, businesses will become increasingly reliant on Enova's AI-based solutions to help them manage credit risk and navigate a complex lending environment.
Steph
Company Specialist at Welcome to the Jungle
Insights
13% employee growth in 12 months
Company
Company benefits
- 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
- 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!
- 401(k) matching plus a roth option
Company HQ
Chicago Loop, Chicago, IL
Leadership
David Fisher
(Executive Chairman)Before joining Enova as CEO, they were the CEO of optionsXpress and CFO at Potbelly Sandwich Works, Prism Financial and RBC Mortgage.
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