Principal Business Analyst, Fraud

September 17, 2026
Application ends: December 16, 2026

Job Description

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.

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.

RESPONSIBILITES

  • 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.

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