# Staff+ Software Engineer, Financial Fraud

**Company**: Anthropic
**Location**: San Francisco, CA
**Work arrangement**: hybrid
**Experience**: staff
**Job type**: full-time
**Salary**: $320,000 - $485,000 USD
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q116758847

**Apply**: https://job-boards.greenhouse.io/anthropic/jobs/5325909008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_248c5dbe-f9f

## Description

## 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

## Skills

### Required
- Python
- SQL
- data analysis
- fraud detection
- risk management

### Nice to have
- payments rails
- card networks
- payment service providers
- in-app purchase platforms
- refund flows
- chargeback and dispute lifecycles
- fraud loss accounting
- hybrid rules-and-ML risk systems

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/anthropic/jobs/5325909008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)