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Fraud Data Analyst

Stripe

Salary not specified
Sep 12, 2025
Remote, US
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Stripe is looking to hire an experienced fraud analyst to join their global fraud operations team to prevent transaction fraud, identify and mitigate fraud attacks, and implement fraud strategies and controls.

Requirements

  • A minimum of five years of experience conducting advanced data analysis & managing transaction fraud rulesets.
  • Advanced level proficiency in SQL.
  • Experience working closely with modeling, data science, and intelligence stakeholders to implement automatic & scaled controls & processes.
  • Experience creating data visualizations and dashboards & presenting findings to technical and non-technical audiences, including senior leadership.
  • Fraud experience in payments, e-commerce, fintechs, or cryptocurrency mitigating digital/card-not-present fraud
  • Experience investigating and mitigating card testing and account takeover attacks
  • Proficiency in Splunk, Python, Tableau, or other data visualization tools

Responsibilities

  • Build and maintain fraud rulesets to prevent transaction level fraud losses, including ongoing monitoring and measurements of precision and recall.
  • Conduct advanced data analysis of structured and unstructured data sets to proactively identify emerging fraud attacks impacting Stripe and its users.
  • Investigate, conduct root cause analysis, and deploy remediations to prevent future complex and distributed fraud attacks.
  • Investigate and take action against anomalous clusters of transactions based on account activity, processing volume, or other risk indicators while minimizing negative impacts to Stripe users.
  • Respond to incidents involving complex fraud schemes to quickly mitigate exposure to Stripe, its users, and financial partners.
  • Utilize analytics to identify & implement initiatives to automate manual processes and workload across the organization.
  • Create visualizations, dashboards, and queries to drive visibility and oversight into impact, performance, loss risks, and user experience.

Other

  • Collaborate closely with product, risk, and operations teams to proactively identify and mitigate fraud exposure.
  • The ability to drive execution on projects working in a heavily cross-functional environment.
  • Creativity, a team-focused mentality, and effective problem solving skills.
  • The ability and desire to question the status quo.
  • The ability to approach challenges from a user perspective while being pragmatic & solutions oriented.