Staff+ Software Engineer, Financial Fraud

About the Role

The Fraud Prevention team at Anthropic protects payment and monetization surfaces from financial abuse. As a Staff+ Software Engineer on this team, you will build systems that make risk decisions in real-time, manage dispute and chargeback lifecycles, and detect monetization abuse.

Responsibilities:

• Design and build real-time risk decisioning systems that score transactions at authorization time, balancing fraud loss, approval rates, and latency constraints.
• Develop tooling and automation for dispute and chargeback lifecycles, including review queues, evidence collection, and loss reporting.
• Engineer fraud signals at scale, such as device fingerprinting, BIN and issuer signals, velocity features, and cross-account linkage.
• Detect monetization abuse across subscriptions, trials, promotions, and in-app purchases.
• Own a portfolio of metrics, including loss rate, dispute rate, authorization approval impact, and false-positive rate.
• Lead investigations into emerging fraud patterns and build multi-layered defenses.
• Collaborate cross-functionally with finance, support, legal, and data science teams, as well as external payment processors and platform partners.

Requirements:

• 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 trade-offs to non-technical stakeholders.

Preferred Qualifications:

• 8+ years of industry software engineering experience, with a focus on payments fraud or risk.
• Fluency with payments rails, including card networks, payment service providers, in-app purchase platforms, refund flows, and chargeback and dispute lifecycles.
• Direct experience combating fraud typologies such as card testing, stolen-card monetization, and refund and chargeback abuse.
• Understanding of fraud loss accounting and chargeback rate thresholds.
• Experience building hybrid rules-and-ML risk systems.

Logistics

• Annual salary: $320,000 - $485,000 USD
• Minimum education: Bachelor’s degree or equivalent combination of education, training, and/or experience
• Required field of study: A field relevant to the role
• Location-based hybrid policy: 25% office time
• Visa sponsorship: Available