# Safeguards Analyst, Account Abuse

**Company**: Anthropic
**Location**: San Francisco, CA | New York City, NY
**Work arrangement**: hybrid
**Experience**: mid
**Job type**: full-time
**Salary**: $230,000-$310,000 USD
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q116758847

**Apply**: https://job-boards.greenhouse.io/anthropic/jobs/5108841008
**Canonical**: https://yubhub.co/jobs/job_1421728f-e82

## Description

As a Safeguards Analyst focusing on Account Abuse, you will play a critical role in building and scaling the detection, enforcement, and operational capabilities that protect our platform against scaled abuse.

You will develop and iterate on account signals and prevention frameworks that consolidate internal and external data into actionable abuse indicators.

You will develop and optimize identity and account-linking signals using graph-based data infrastructure to detect coordinated and scaled account abuse.

You will evaluate, integrate, and operationalize third-party vendor signals , assessing whether new data sources provide genuine lift in detection.

You will expand internal account signals with new data sources and behavioural indicators to improve detection coverage.

You will build and maintain processes that evaluate new product launches for scaled abuse risks, working closely with product teams to ensure enforcement readiness.

You will operationalize and iterate on enforcement tooling , including appeals workflows, review processes, and user communications , to maintain quality and scale with growing volume.

You will analyse enforcement performance through operational metrics, partnering with the team to keep detection accurate as abuse patterns evolve.

You will manage payment fraud and dispute operations to protect revenue and maintain our standing with payment partners.

You will coordinate enforcement efforts for policy compliance gaps across products, working with relevant teams to build scalable review processes.

You will collaborate with cross-functional teams (Engineering, Product, Legal, Data Science) to surface new signals and translate detection capabilities into enforcement workflows.

You will maintain detailed documentation of signal development, enforcement processes, and operational decisions.

This role requires 2+ years of experience in risk scoring, fraud detection, trust and safety, or policy enforcement.

You should have hands-on experience building detection systems, risk models, or enforcement processes and workflows.

You should have experience evaluating and integrating third-party data sources into detection or scoring pipelines.

You should have strong SQL and Python skills , this role involves heavy data analysis across complex, multi-table data relationships.

You should have familiarity with identity signals such as device fingerprinting, account linking, or entity resolution, or experience with appeals processes and customer-facing enforcement communications.

You should have demonstrated ability to analyse complex data problems and translate findings into actionable improvements.

You should have strong written and verbal communication skills , ability to explain technical tradeoffs and navigate cross-functional stakeholder conversations.

Equivalent practical experience or a Bachelor's degree in Computer Science, Data Science, or related field is required.

This role offers an annual salary range of $230,000-$310,000 USD.

## Skills

### Required
- risk scoring
- fraud detection
- trust and safety
- policy enforcement
- SQL
- Python
- identity signals
- device fingerprinting
- account linking
- entity resolution
- appeals processes
- customer-facing enforcement communications