Principal Business Analyst, Fraud

Mission Lane is a purpose-driven fintech company that uses data, technology, and exceptional service to help people achieve financial progress. The Principal Business Analyst, Fraud will design and test defenses against fraudulent applications, analyze emerging fraud patterns, build performance dashboards, and partner with cross-functional teams to improve fraud detection capabilities.

Responsibilities:

• 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

Requirements:

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