Payments Risk Analyst II

Remote $68k–$112k middle 2 months ago full-time quality 8.5/10
data analysisSQLMySQLfraud detectiondata visualizationLookerTableauPythonR
  • Identify, investigate and mitigate fraudulent deposit activity.
  • Implement logic targeting bad actors and high-risk behavior associated with unauthorized deposit activity across multiple regions.
  • Use data to assess risk and make decisions impacting large segments of our customer population; effectively measure and assess associated tradeoffs using quantitative analysis.
  • Synthesize data learnings into compelling stories and communicate them to Payments Risk leadership.
  • 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 our monitoring.
  • Own risk controls from end-to-end and scale processes to provide appropriate coverage as we expand our business.
  • Own reporting processes and communication with relevant banking partners.
  • Work with internal stakeholders in Product, Growth, Data Science and Engineering to develop and drive forward custom risk management strategies and techniques for different geographies.
  • 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
  • A passion for fighting fraud and abuse, and the curiosity to self-drive investigations, identify patterns, and conduct root cause analysis
  • Experience in data analyses using SQL and Databricks.
  • Experience with data visualization and storytelling using Looker, Tableau, SuperSet or other business intelligence platforms
  • Be able to independently create plans for analytics projects and build collaboration within the team
  • Demonstrate our core cultural values: clear communication, positive energy, continuous learning, and efficient execution.
  • Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.
  • Competitive salary range of $68K-$112K
  • Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, and vision).
  • In-person participation is required throughout the year with team and company-wide offsites held multiple times annually.

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