Staff Real-Time Payments Fraud Engineer

Anthropic Limited; San Francisco (CA); On-site; USD 320,000 - 485,000; Full time

Benefits offered by this job

Equity donation matching

Generous vacation and parental leave

Flexible working hours

SF office with collaboration space

Job summary

Anthropic Limited is seeking a senior software engineer for the Fraud Prevention team in San Francisco to design real-time risk decisions that protect payments while minimizing false positives. You will build systems for the dispute and chargeback lifecycle and detect monetization abuse across subscriptions, trials, and in-app purchases.

The role requires strong Python/SQL skills, production-grade fraud experience, and the ability to communicate complex tradeoffs to non-technical stakeholders.

Qualifications

• 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.

Responsibilities

• 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.
• 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.
• Work cross-functionally with finance, support, legal, and data science, and with external payment processors and platform partners.

Skills

Python

SQL

Data analysis

Education

Bachelor's degree

Tools

Stripe

Adyen

Apple Pay

Google Pay

Job description

Anthropic Limited is seeking a senior software engineer for the Fraud Prevention team in San Francisco to design real-time risk decisions that protect payments while minimizing false positives. You will build systems for the dispute and chargeback lifecycle and detect monetization abuse across subscriptions, trials, and in-app purchases.

The role requires strong Python/SQL skills, production-grade fraud experience, and the ability to communicate complex tradeoffs to non-technical stakeholders.