3 months ago
Base Salary
$320k - $485k/yr
Responsibilities
- Design and build real-time risk decisioning that scores transactions at authorization while balancing fraud loss, approval rates, and latency.
- Build tooling and automation for dispute and chargeback workflows, including review queues, evidence collection, and loss reporting.
- Engineer fraud signals such as device fingerprinting, BIN and issuer signals, velocity features, and cross-account linkage at scale.
- 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 layered defenses that adapt to attackers.
- Collaborate with finance, support, legal, data science, payment processors, and platform partners.
Requirements
- Proficiency in Python, SQL, and data analysis tools.
- Production experience building or operating fraud, risk, or abuse detection systems.
- Strong communication skills and the ability to explain complex technical tradeoffs to non-technical stakeholders.
- Preferred: 8+ years of industry software engineering experience focused on payments fraud or risk.
- Preferred: Fluency with card networks, payment service providers such as Stripe and Adyen, Apple and Google in-app purchase platforms, refund flows, and the chargeback and dispute lifecycle.
- Preferred: Direct experience combating card testing, stolen-card monetization, refund and chargeback abuse, subscription and trial abuse, promotional abuse, and friendly fraud.
- Preferred: Understanding of fraud loss accounting, dispute fees, card network monitoring programs, and chargeback rate thresholds.
- Preferred: Experience building hybrid rules-and-ML risk systems with real-time authorization scoring and post-authorization review workflows.
- Preferred: Experience at a marketplace or subscription business or on a processor-side or issuer-side risk team.
- A bachelor’s degree or an equivalent combination of education, training, and/or experience is accepted; the field should be relevant to the role.
Benefits
- Hybrid work with staff expected in an office at least 25% of the time
- Visa sponsorship may be available, with immigration-lawyer support
- Competitive benefits
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
- Office space for collaboration
About Anthropic
Anthropic builds large language models and the Claude AI assistant for developers and enterprises, offered via API access and enterprise plans. Founded in 2021 and headquartered in San Francisco, it distributes Claude through its own platform and via partners such as Amazon Bedrock and Google Cloud’s Vertex AI. Its work emphasizes model reliability, interpretability, and practical tooling for tasks like coding assistance, analysis, and customer support automation.