You will bring deep analytical capabilities to improve Adobe.com risk decisioning at checkout and block BOT attacks
Job Summary
You will bring deep analytical capabilities to improve Adobe.com risk decisioning at checkout and block BOT attacks.
The role requires balancing the sensitive ratio of false positives to false negatives while evolving prevention strategies to drive business objectives.
Successful candidates must have strong hands-on SQL and Python skills to write queries, build data pipelines, and drive insights from large datasets.
Matching Summary
You will bring deep analytical capabilities to improve Adobe.com risk decisioning at checkout and block BOT attacks.
Salary
Base: $125,800 - $239,725 annually (US); California Base: $165,600 - $239,725; Short-term incentives in form of Annual Incentive Plan (AIP) and potential equity awards
Skills & Requirements
Must-have
Hands-on SQL and Python skills
Experience building analytic systems
Payment risk or fraud operations background
Tuning decision engines for fraud detection
Nice-to-have
Practical machine learning production experience
Ability to influence external issuing banks
Experience with A/B testing and control groups
Data-driven approach to business decisions
Key Requirements
Deep technical fluency in SQL and Python
Direct knowledge of developing risk strategies
Hands-on experience in payment risk or fraud operations