Data Science Engineer, Payment Risk

ADOBE

Base: $125,800 - $239,725 annually (us); californi...
Hands-on sql and python skills
Experience building analytic systems
Deep knowledge of payment risk strategies
You will bring risk strategy experience from an online merchant and deep analytical capabilities to manage payment fraud and related risks

Job Summary

  • You will bring risk strategy experience from an online merchant and deep analytical capabilities to manage payment fraud and related risks.
  • The role involves defining A/B tests and monitoring performance with control groups to improve false positive identification globally using statistical methods.
  • Adobe empowers everyone to create through innovative platforms, seeking a disciplined, analytical professional to join their global payments function.

Matching Summary

You will bring risk strategy experience from an online merchant and deep analytical capabilities to manage payment fraud and related risks.

Salary

Base: $125,800 - $239,725 annually (US); California: $165,600 - $239,725; Short-term incentives in form of Annual Incentive Plan

Skills & Requirements

Must-have

  • Hands-on SQL and Python skills
  • Experience building analytic systems
  • Deep knowledge of payment risk strategies
  • Managing false positive/negative trade-offs
  • Operationalizing machine learning models

Nice-to-have

  • Background in fraud or abuse operations
  • Ability to influence external issuing banks
  • Strong analytical and methodical approach
  • Experience with predictive decisioning models

Key Requirements

  • Strong hands-on SQL and Python skills
  • Practical experience overseeing payment risk or fraud operations
  • Direct knowledge of developing and revising risk strategies
  • Track record applying machine learning in production

Work Rights

Not specified

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