Analytics Analyst - Fraud (Hybrid)

Enova International; Chicago (IL); Hybrid; USD 63,000 - 95,000; Full time

Job summary

Enova International seeks an Analytics role focused on fraud detection and model development. You will build, test, and refine models and pipelines that surface fraud trends across lending products, collaborating with Fraud Operations to translate findings into action.

The broader Analytics team is data-driven and values rigorous analysis, with opportunities to impact underwriting and risk controls across Enova’s products.

Qualifications

• Bachelor's degree in a quantitative field or equivalent experience.
• Solid programming skills for data analysis.
• Working knowledge of SQL databases.
• Foundational knowledge of statistics and machine learning.
• Comfort with AI tools to improve workflow.
• Curious, problem-solving mindset with fraud/fintech interest.

Responsibilities

• Develop, deploy, and monitor models and pattern-recognition algorithms to detect fraud trends.
• Write Python programs for data analysis and predictive modeling; query large datasets with SQL.
• Collaborate with Fraud Operations to refine features based on investigations.
• Conduct ad hoc analyses to scope new fraud trends and inform risk strategies.
• Communicate findings to cross-functional partners and support implementation.
• Contribute to underwriting and verification processes from a fraud-risk perspective.

Skills

Programming for data analysis

Quantitative mindset

Fraud analytics interest

Education

Bachelor's degree in quantitative field

Tools

Python

SQL

Relational databases

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 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

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 .

• 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 .

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