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Credit Business Analyst

United States, Menlo Park 166000.00 - 195000.00 USD / Year · Job Posted February 18, 2026
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Job Description

Join us in building the future of finance. Our mission is to democratize finance for all. The Credit team focuses on designing and operating credit card and banking experiences that help customers access financial products safely and responsibly. The team combines data, technology, and customer insights to reduce risk while maintaining a seamless customer experience, and plays a critical role in protecting both customers and the business. As a Credit Business Analyst, you will design, build, and monitor fraud defenses across our banking and credit products. You’ll use data to identify emerging fraud risks, translate insights into actionable strategies, and work closely with product, operations, and engineering partners to implement solutions. Your work will directly influence fraud loss outcomes while ensuring customers can confidently use Robinhood’s financial products.

Job Responsibility

  • Use data, technology, and customer insights to design initiatives that reduce fraud across our banking and credit products
  • Partner closely with product managers, operations teams, and engineers to build and execute fraud defense strategies that protect customers and the business
  • Seek out relevant data and information to independently solve complex, ambiguous fraud problems
  • Own the development, monitoring, and ongoing improvement of fraud defenses, using performance signals and feedback loops to iterate and refine strategies
  • Develop and execute fraud strategies that balance risk reduction with a positive customer experience
  • Communicate findings, recommendations, and progress clearly to senior stakeholders, tailoring insights to the audience and driving alignment

Requirements

  • Strong quantitative and analytical skills, with experience using data to inform decisions
  • 5–7 years of experience building and leading credit and/or banking strategies that delivered measurable results
  • Hands-on experience using SQL and at least one statistical or programming language such as R or Python (e.g., Pandas, scikit-learn)
  • Strong written and verbal communication skills, with the ability to simplify complex analyses and focus on the most impactful areas
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field

Nice to have

Experience working on banking or payments fraud problems is a plus

What we offer

  • Performance-driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
  • 100% paid health insurance for employees with 90% coverage for dependents
  • Lifestyle wallet — a highly flexible benefits spending account for wellness, learning, and more
  • Employer-paid life & disability insurance, fertility benefits, and mental health benefits
  • Time off to recharge including company holidays, paid time off, sick time, parental leave, and more
  • Exceptional office experience with catered meals, events, and comfortable workspaces

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