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# Principal Business Analyst, Fraud

- **Company:** Mission Lane
- **Location:** Chicago, IL, United States
- **Experience:** Experienced
- **Salary:** $118,000.0 - $135,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Fraud Prevention and Detection, Python (Programming Language), Application Data, SQL Databases, Data Analytics
- **Published:** September 16, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=fe216b31822bb76b

## About the Role

* 2+ years of experience in a highly analytical role (e.g., risk, business analytics, data science), with the majority of that experience spent working directly with data rather than individual case decisioning.
 * Experience conducting analytical work with credit cards or other consumer lending products.
 * Hands-on experience designing and executing A/B or Champion/Challenger testing within an application or risk funnel.
 * Proven ability to independently frame an ambiguous question, form a hypothesis, analyze the data, and defend the answer with stakeholders.
 * Strong familiarity with SQL, Python, or other tools for data analysis.
 * Bachelor's or Master's degree in Economics, Finance, Engineering, Mathematics, or a similar quantitative field with a record of strong academic performance.
 * Ability to travel ~4-6+ times per year for high quality in person collaboration.

Preferred qualifications:

 * Direct experience in Fraud Strategy and Analytics.
 * Expertise in SQL and Python.
 * Experience helping scale a business in a fast-paced startup environment.

## Description

* Dig into application data to independently identify emerging fraud patterns and surface vulnerabilities before they scale.
 * Design, build, and run A/B and Champion/Challenger tests to develop new real-time defenses against fraudulent applications.
 * Balance risk and customer experience by translating test results into thoughtful, data-backed recommendations.
 * Build and maintain dashboards that track defense performance against coverage, applicant friction and abandonment, and losses.
 * Partner with Operations, Product, Data Science, and Engineering to continuously sharpen fraud detection capabilities.
 * Mentor less experienced analysts on the team as they build their own fraud analytics judgment.

You'll thrive in this role if:

 * You're comfortable working on an undefined problem. Application fraud data rarely comes with a clean hypothesis attached, and you enjoy framing the question as much as answering it.
 * You know how to tell the story behind your analysis, not just report the numbers.
 * You take ownership of your conclusions and can defend them under scrutiny, while always staying open to being wrong.


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