Data Science Engineer, Payment Risk

Adobe

San Jose, California, US
Base: $125,800 -- $239,725 annually; bonus/equity:...
Sql and python skills
Payment risk operations experience
Develop and maintain risk policies
Mitigate fraudulent payment activity involving various payment methods worldwide and collaborate with internal and external teams to establish fraud prevention capabilities

Job Summary

  • Mitigate fraudulent payment activity involving various payment methods worldwide and collaborate with internal and external teams to establish fraud prevention capabilities.
  • Bring a disciplined, analytical, and methodical approach to payment risk, defining and managing risk control measurements and promoting data-driven practices.
  • Define A/B tests and monitor performance with control groups to improve global false positive identification using statistical methods for better decision-making.

Matching Summary

Mitigate fraudulent payment activity involving various payment methods worldwide and collaborate with internal and external teams to establish fraud prevention capabilities.

Salary

Base: $125,800 -- $239,725 annually; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • SQL and Python skills
  • Payment risk operations experience
  • Develop and maintain risk policies
  • Define and manage risk control measurements
  • Build and operate analytic systems
  • A/B testing and control groups

Nice-to-have

  • Translate analytical outcomes into business decisions
  • Influence cross-functional teams
  • Experience with SEPA, PayPal
  • Machine learning in production

Key Requirements

  • Hands-on experience in risk industry
  • Deep technical fluency
  • Practical experience building and operating analytic systems
  • Proficiency in SQL and Python
  • Overseeing payment risk, fraud, or abuse operations
  • Direct knowledge of developing, implementing, and revising risk strategies

Work Rights

Not specified

Tailored Resume

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