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We’re seeking a talented Software Engineer III to join our Payments & Risk team. In this role, you will play a critical part in extracting meaningful signals from diverse data sets, designing and improving our “risk engine,” and continuously experimenting to enhance our Key Risk Indicators (KRIs) for customers globally. 🌎 Location: United States ✦ Remote ✦ Contract ✦ Mid-Senior level 🔎 Full details here ➡️ https://buff.ly/3S4DsPu Primary responsibilities: 🔹 View our Payments domain as a “cube” of Customers, Payment Methods, and Geography. Design empirical systems to optimize our sellers’ revenue in every cell without impacting others. Monitor and learn signals from specific cells (e.g., Credit Card Payments in Brazil) to build data-driven, bottom-up risk solutions that minimize fraud and chargebacks. 🔹 Develop customer-facing solutions (for both buyers and sellers) using industry best practices (3DS, KYC, MFA, Threat Score, etc.) to minimize fraud and increase customer revenue, positively impacting NPS (Net Promoter Score). 🔹 Understand and discover nuances between Payment Methods and customer purchase behavior in different geographies. Encode these behaviors into actionable rules to improve risk management. 🔹 Emphasize Security, Resilience, and Scale built on Observability. Own end-to-end actionable observability in Payments and Risk, proactively enhancing it to support our Product Strategy (“Ship One New Payment Method a month”). Qualifications: ✔️ Strong background in software engineering and risk management. ✔️ Experience with AI/ML-driven risk solutions. ✔️ Ability to design empirical systems for optimizing payments. ✔️ Familiarity with industry best practices for fraud prevention. ✔️ Strong understanding of global payment methods and customer behaviors. ✔️ Excellent collaboration and influence skills.

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