Fraud Analytics Pro – Hybrid Data Analyst

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

Benefits offered by this job

Health insurance

Dental & Vision

401(k) matching + Roth option

PTO & holidays

Sabbatical program

Summer hours

Paid parental leave

DEI groups

Volunteer day

Job summary

Enova in Chicago is seeking an Analytics Analyst for Fraud on a hybrid schedule. You will develop, deploy, and monitor models and pattern-recognition algorithms to detect fraud trends across lending products, writing Python programs and querying large datasets with SQL.

You will partner with Fraud Operations to refine features, examine false positives/negatives, and share findings with cross-functional partners to improve underwriting from a fraud-risk perspective.

Qualifications

• Bachelor's degree in a quantitative field or equivalent experience.
• Solid programming skills for data analysis—demonstrated through work, internships, coursework, or personal projects.
• Foundational knowledge of statistical methods and machine learning.

Responsibilities

• Develop, deploy, and monitor models and pattern-recognition algorithms to detect fraud trends across lending products.
• Write Python programs for meaningful data analysis and predictive modeling; query large datasets in SQL.
• Collaborate with Fraud Operations to surface patterns, refine features, and reduce false positives/negatives.
• Conduct ad hoc analyses on large datasets to scope new fraud trends and advise risk and verification strategies.
• Communicate findings clearly to cross-functional partners and support implementation.

Skills

Python

SQL

Statistics

Machine Learning

Data Analysis

Education

Bachelor's degree in a quantitative field

Tools

SQL

Job description

Enova in Chicago is seeking an Analytics Analyst for Fraud on a hybrid schedule. You will develop, deploy, and monitor models and pattern-recognition algorithms to detect fraud trends across lending products, writing Python programs and querying large datasets with SQL.

You will partner with Fraud Operations to refine features, examine false positives/negatives, and share findings with cross-functional partners to improve underwriting from a fraud-risk perspective.