Senior Data Scientist - Fraud (Hybrid)

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

The budgeted annual salary range for this position is

$96,000 to $125,000

.

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

.

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 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.

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.