Staff Software Engineer, Real-Time Payments Fraud

Anthropic Limited; Seattle (WA); Híbrido; USD 320.000 - 485.000; Jornada completa

Descripción de la vacante

Anthropic Limited in Seattle is seeking an experienced software engineer for the Fraud Prevention team. You will build real-time risk decisions for payments, protect monetization surfaces, and balance fraud loss with user experience across subscriptions and in-app purchases.

The role requires collaborating with finance, support, legal, data science, and external processors. You will own end-to-end risk signals, contribute to post-authorization workflows, and help shape scalable defenses while

Formación

• Proficiency in Python, SQL, and data analysis tools.
• Experience building or operating fraud, risk, or abuse detection systems in production.
• Strong communication skills and ability to explain complex technical tradeoffs to non-technical stakeholders.

Responsabilidades

• Design and build real-time risk decisioning that scores transactions at authorization time.
• Build tooling and automation for the dispute and chargeback lifecycle, from review queues to evidence collection and loss reporting.
• Engineer fraud signals at scale — device fingerprinting, BIN and issuer signals, velocity features, and cross-account linkage — and detect monetization abuse across subscriptions, trials, promotions, and in-app purchases.
• Own a portfolio of metrics — loss rate, dispute rate, authorization approval impact, and false-positive rate.
• Lead investigations into emerging fraud patterns, building multi-layered defenses designed for attacker adaptation rather than point-in-time rules.
• Work cross-functionally with finance, support, legal, and data science, and with external payment processors and platform partners.

Conocimientos

Python

SQL

Data analysis

Educación

Bachelor's degree

Descripción del empleo

Anthropic Limited in Seattle is seeking an experienced software engineer for the Fraud Prevention team. You will build real-time risk decisions for payments, protect monetization surfaces, and balance fraud loss with user experience across subscriptions and in-app purchases.

The role requires collaborating with finance, support, legal, data science, and external processors. You will own end-to-end risk signals, contribute to post-authorization workflows, and help shape scalable defenses while