Analytics Analyst – Fraud

Enova International

. Develop, deploy, and monitor models and pattern-recognition algorithms to detect emerging and shifting fraud trends across lending products .

Posted 10/15/2026full-timeChicago • Illinois • United StatesMid-LevelSenior💰 $63,000 - $95,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying models and algorithms for fraud detection, utilizing Python for data analysis and SQL for querying complex datasets. Strong analytical skills are complemented by foundational knowledge in statistical methods and machine learning, with a focus on improving fraud-risk processes.

Highest-signal resume keywords

Python ProgrammingSQL QueryingStatistical MethodsMachine LearningFraud Detection

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisPredictive ModelingPattern RecognitionAd Hoc AnalysisFeature Refinement

Soft Skills

Problem-SolvingInquisitive MindsetClear Communication

Tools & Technologies

AI ToolsRelational Databases

Industry Keywords

FraudFintechLendingRisk StrategiesVerification Processes

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Develop, deploy, and monitor models and pattern-recognition algorithms to detect emerging and shifting fraud trends across lending products
Write customized Python programs for data analysis and predictive modeling
Query large, complex datasets in SQL
Partner with Fraud Operations through the full detection loop
Pull data together and surface suspicious patterns
Incorporate investigation results to refine features and reduce false positives and false negatives
Conduct ad hoc analysis on large, complex datasets to scope fraud trends
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

What you’ll need

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 workflow and delivery
Strong problem-solving instincts and an inquisitive, dig-deeper mindset
Prior experience is not required; fraud, fintech, or lending exposure is a plus, while interest in them is required
Eligible to work in the United States
Enova does not sponsor visas or take over sponsorship

Benefits

Comp & perks

Hybrid schedule with remote flexibility on Mondays and Fridays
Health, dental, and vision insurance including mental health benefits
401(k) matching plus a Roth option (U.S. Based employees only)
PTO and 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
Potential bonus
Company benefits for full-time employees