Staff+ Software Engineer, Financial Fraud

at Anthropic

📍 New York City, United States
📍 San Francisco, United States
📍 Seattle, United States

USD 320,000-485,000 per year

SENIOR

✅ Hybrid

✅ Visa Sponsorship

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI Communication @ 7 Data Analysis @ 6 Data Science Fraud @ 4 Machine Learning Payments @ 7 Python @ 6 SQL @ 6 Stripe @ 6

Details

Anthropic's Fraud Prevention team protects payment and monetization surfaces from financial abuse while preserving a smooth experience for legitimate customers. The team builds systems for real-time risk decisions, dispute and chargeback management, and detection of monetization abuse across subscriptions, in-app purchases, and promotions.

Responsibilities

Design and build real-time risk decisioning systems that score transactions at authorization time while balancing fraud loss, approval rates, and latency constraints.
Build tooling and automation for the dispute and chargeback lifecycle, including review queues, evidence collection, and loss reporting.
Engineer fraud signals at scale, including device fingerprinting, BIN and issuer signals, velocity features, and cross-account linkage.
Detect monetization abuse across subscriptions, trials, promotions, and in-app purchases.
Own metrics including loss rate, dispute rate, authorization approval impact, and false-positive rate.
Lead investigations into emerging fraud patterns and build multi-layered defenses designed to adapt to attackers.
Collaborate with finance, support, legal, data science, 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 the ability to explain complex technical tradeoffs to non-technical stakeholders.
A bachelor's degree or equivalent combination of education, training, and experience in a field relevant to the role.

Preferred Qualifications

8+ years of industry software engineering experience, with a focus on payments fraud or risk.
Fluency with payment rails, including card networks, payment service providers such as Stripe and Adyen, in-app purchase platforms such as Apple and Google, refund flows, and the chargeback and dispute lifecycle.
Experience combating card testing, stolen-card monetization, refund and chargeback abuse, subscription and trial abuse, promotional abuse, and friendly fraud.
Understanding of fraud loss accounting, including fraud loss, dispute fees, and card network monitoring programs such as VDMP, iVFMP, and Mastercard ECP.
Experience building hybrid rules-and-ML risk systems with real-time authorization scoring and post-authorization review workflows.
Experience at a marketplace or subscription business, or on a processor-side or issuer-side risk team.

Compensation

Annual salary: $320,000–$485,000 USD

Work Policy and Immigration

Hybrid policy: Staff are expected to work from one of Anthropic's offices at least 25% of the time, though some roles may require more office time.
Anthropic sponsors visas and will make reasonable efforts to obtain a visa for candidates who receive an offer, with support from an immigration lawyer.

About Anthropic

Anthropic is a public benefit corporation headquartered in San Francisco. Its mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society.