Data Science Engineer, Payment Risk

Job description

The Opportunity

Adobe is building a global payments function and recruiting a seasoned payment risk specialist to join our team dedicated to managing payment fraud and related risks. You will bring both risk strategy experience from an online merchant and deep analytical capabilities to this role. Your ability to pull and analyze data will help you find ways to improve Adobe.com risk decisioning at checkout. This will allow you to block BOT attacks and prevent fraudulent transactions. You’ll balance the sensitive ratio of false positives to false negatives, and evolve prevention strategies to drive Adobe’s business objectives. You will help define payment risk policies and build programs that prevent, detect, identify and resolve fraudulent activity by customers, potential customers, and outside agents. You will support outreach programs to the large issuing banks around the world to influence how they decision Adobe transactions. You will define A/B tests and monitor performance with a control group. This improves how you identify false positives globally using statistical methods to enable better decision-making.

What You'll Do

• Mitigate fraudulent payment activity involving credit/debit cards, SEPA, PayPal, and other payment methods worldwide. Collaborate with Adobe’s third-party risk assessment partner and internal ML team.
• Partner closely with internal collaborator organizations across Adobe including Risk/Abuse team, Chargeback team, ML Decisioning Engineers, Product Management, Payments Partnerships and Finance.
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