Analytics Analyst - Fraud; Hybrid

Position: Analytics Analyst - Fraud (Hybrid)
# Analytics Analyst - Fraud (Hybrid)
Enova Chicago, ILPosted a day ago Apply Now## Details Location Chicago , IL##

Job Summary Analytics##

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 an Analyst 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 SQLPartner 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

Requirements:

A Bachelor's degree in a quantitative field (Statistics, Mathematics, Economics, Computer Science, or similar) or equivalent experience

Solid programming skills for data analysis — demonstrated through work, internships, coursework, or personal projects

Working knowledge of relational databases (SQL)
Foundational knowledge of statistical methods and machine learning

Comfort using AI tools to improve your workflow and delivery

Strong problem-solving instincts and a naturally inquisitive, dig-deeper mindset

Prior experience is not required; fraud, fintech, or lending exposure is a plus, interest in them is a must Compensation:

This position includes various levels within our career ladder. The actual annual salary will be determined based on qualifications, skills, experience, and level assessed during the hiring process and may fall outside of the ranges shown.

Budgeted annual salary ranges:

Analytics Analyst I: $63,000 - $83,000

Analytics Analyst II: $75,000 - $95,000

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.

He…