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Payments Risk Analyst II

Posted 29 days agoViewed

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💎 Seniority level: Middle, 4+ years relevant experience

📍 Location: USA

💸 Salary: 135320.0 - 159200.0 USD per year

🔍 Industry: Finance & Accounting

🏢 Company: Coinbase Careers Page👥 1000-5000

⏳ Experience: 4+ years relevant experience

🪄 Skills: SQLBlockchainData AnalysisTableauData visualization

Requirements:
  • 4+ years relevant experience.
  • 2+ years fighting push payment fraud in an e-commerce or financial services environment.
  • 2+ years of experience in data analysis, working with databases, and querying (e.g., SQL, MySQL, etc.).
  • BA / BS degree or equivalent practical experience.
  • Strong knowledge of pull payment processes and experience with fraud claim investigations.
  • Passion for fighting fraud and abuse, with curiosity to self-drive investigations and identify patterns.
  • Experience in data analyses using SQL.
  • Experience with data visualization and storytelling using Looker, Tableau, SuperSet, or other business intelligence platforms.
  • Ability to independently create plans for analytics projects and build collaboration within the team.
  • Demonstrate core cultural values: clear communication, positive energy, continuous learning, and efficient execution.
Responsibilities:
  • Identify, investigate and mitigate fraudulent deposit activity.
  • Implement logic targeting bad actors and high-risk behavior associated with unauthorized deposit activity across multiple regions.
  • Review and respond to alerts regarding anomalous customer and transaction behavior.
  • Measure fraud performance across payment methods, develop core metrics, and create dashboards to track and understand them.
  • Proactively identify and close gaps in monitoring.
  • Own risk controls from end-to-end and scale processes as the business expands.
  • Own reporting processes and communication with relevant banking partners.
  • Collaborate with internal stakeholders in Product, Growth, Data Science, and Engineering to develop custom risk management strategies.
  • Use data to assess risk and make decisions impacting large customer segments, measuring associated tradeoffs with quantitative analysis.
  • Synthesize data learnings into compelling stories for Payments Risk leadership.
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