Staff+ Software Engineer (Financial Fraud)

Join Anthropic, a leading AI safety and research company, as a Staff+ Software Engineer on the Fraud Prevention team. In this role, you will build systems that make real-time risk decisions, manage the dispute and chargeback lifecycle, and detect monetization abuse. You will collaborate closely with finance, support, and legal teams internally, and with payment processors and platform partners externally. The ideal candidate has experience in fraud detection systems, a strong understanding of payments, and excellent communication skills.

• Concevoir et construire des systèmes de décision en temps réel pour évaluer les transactions, équilibrant les pertes dues à la fraude, les taux d'approbation et les contraintes de latence.
• Développer des outils et des automatisations pour le cycle de vie des litiges et des rétrofacturations, de la collecte des preuves à la déclaration des pertes.
• Diriger les enquêtes sur les modèles de fraude émergents, en construisant des défenses multicouches conçues pour l'adaptation des attaquants.
• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Experience building or operating fraud, risk, or abuse detection systems in production
• Experience at a marketplace or subscription business, or on a processor-side or issuer-side risk team
• Proficiency in Python, SQL, and data analysis tools
• 8+ years of industry software engineering experience, with a focus on payments fraud or risk
• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
• Direct experience combating fraud typologies such as card testing, stolen-card monetization, refund and chargeback abuse, subscription and trial abuse, promotional abuse, and friendly fraud
• Strong communication skills and ability to explain complex technical tradeoffs to non-technical stakeholders
• Experience building hybrid rules-and-ML risk systems: real-time scoring at authorization plus post-authorization review workflows
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
• Fluency with payments rails: card networks, payment service providers (e.g., Stripe, Adyen), in-app purchase platforms (Apple, Google), refund flows, and the chargeback and dispute lifecycle
• Understanding of fraud loss accounting — fraud loss vs. dispute fees vs. card network monitoring programs (e.g., VDMP, i VFMP, Mastercard ECP) — and why chargeback rate thresholds carry existential stakes
• We encourage you to apply even if you do not believe you meet every single qualification