Fraud Patterns Analyst

Stripe
United States
Workplace: RemoteFull timeFunction: Healthcare (Clinical, Medical, Wellness)Experience: 5+ yearsSkills: ["Data analysis","Data visualization","Problem-solving","Communication"]

Join Stripe's Risk Operations team as a Fraud Patterns Analyst to design and maintain fraud rulesets, perform SQL-driven analyses, and collaborate with product, data science, and operations to identify and mitigate evolving fraud threats across ecommerce, payments, and cryptocurrency. You’ll build dashboards, automate controls, and drive risk mitigation while minimizing impact to users.

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Stripe
Stripe
4 months ago

Fraud Patterns Analyst

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Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Join Stripe's Risk Operations team as a Fraud Patterns Analyst to design and maintain fraud rulesets, perform SQL-driven analyses, and collaborate with product, data science, and operations to identify and mitigate evolving fraud threats across ecommerce, payments, and cryptocurrency. You’ll build dashboards, automate controls, and drive risk mitigation while minimizing impact to users.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Healthcare (Clinical, Medical, Wellness)

Key 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.
  • •Collaborate closely with product, risk, and operations teams to proactively identify and mitigate fraud exposure.
  • •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.

Key Requirements

  • •Minimum five years of experience conducting advanced data analysis and managing transaction fraud rulesets.
  • •Advanced level proficiency in SQL.
  • •Experience working with modeling, data science, and intelligence stakeholders to implement automatic, scaled controls and processes.
  • •Experience creating data visualizations and dashboards and presenting findings to technical and non-technical audiences, including senior leadership.
  • •Ability to drive execution on projects in a heavily cross-functional environment.
Experience:5+ yearsFraudPaymentsEcommerceCryptocurrency
Skills:Data analysisData visualizationProblem-solvingCommunication
Languages:English
Tech Stack:SQLPythonTableauSplunk

Company Brief

Stripe
Provides payment processing APIs and financial infrastructure for internet businesses. Powers online payments for millions of companies from startups to Fortune 500s.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Decacorn (USD 10B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2010
Glassdoor
Glassdoor: 4.2
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