Staff+ Software Engineer, Financial Fraud

Anthropics mission is to create reliable interpretable and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers engineers policy experts and business leaders working together to build beneficial AI systems.

The Fraud Prevention team protects Anthropics payment and monetization surfaces from financial abuse keeping fraud losses dispute rates and network monitoring exposure in check while preserving a smooth experience for legitimate customers. As a software engineer on this team you will build the systems that make risk decisions in real time manage the dispute and chargeback lifecycle and detect monetization abuse across subscriptions in-app purchases and promotions. The ideal candidate can see things from attackers perspectives anticipate their responses to countermeasures and never loses sight of the fact that a false positive here is a paying customer.

Payments fraud is more externally coupled than most trust and safety work youll collaborate closely with finance support and legal teams internally and with payment processors and platform partners externally.

• Design and build real-time risk decisioning that scores transactions at authorization time balancing fraud loss approval rates and latency constraints
• Build tooling and automation for the dispute and chargeback lifecycle from review queues to evidence collection and loss reporting
• Engineer fraud signals at scale device fingerprinting BIN and issuer signals velocity features and cross-account linkage and detect monetization abuse across subscriptions trials promotions and in-app purchases
• Own a portfolio of metrics loss rate dispute rate authorization approval impact and false-positive rate rather than optimizing any single number
• Lead investigations into emerging fraud patterns building multi-layered defenses designed for attacker adaptation rather than point-in-time rules
• Work cross-functionally with finance support legal and data science and with external payment processors and platform partners

• 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 tradeoffs to non-technical stakeholders

• 8 years of industry software engineering experience with a focus on payments fraud or risk
• Fluency with payments rails: card networks payment service providers (e.g. Stripe Adyen) in-app purchase platforms (Apple Google) refund flows and the chargeback and dispute lifecycle
• Direct experience combating fraud typologies such as card testing stolen-card monetization refund and chargeback abuse subscription and trial abuse promotional abuse and friendly fraud
• Understanding of fraud loss accounting fraud loss vs. dispute fees vs. card network monitoring programs (e.g. VDMP i VFMP Mastercard ECP) and why chargeback rate thresholds carry existential stakes
• Experience building hybrid rules-and-ML risk systems: real-time scoring at authorization plus post-authorization review workflows
• Experience at a marketplace or subscription business or on a processor-side or issuer-side risk team

Minimum education: Bachelors degree or an equivalent combination of education training and/or experience

Required field of study:A field relevant to the role as demonstrated through coursework training or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently we expect all staff to be in one of our offices at least 25% of the time. However some roles may require more time in our offices.

Visa sponsorship:We do sponsor visas! However we arent able to successfully sponsor visas for every role and every candidate. But if we make you an offer we will make every reasonable effort to get you a visa and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy so we urge you not to exclude yourself prematurely and to submit an application if youre interested in this work. We think AI systems like the ones were building have enormous social and ethical implications. We think this makes representation even more important and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams remember that Anthropic recruiters only contact you some cases we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money fees or banking information before your first day. If youre ever unsure about a communication dont click any linksvisit for confirmed position openings.

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact advancing our long-term goals of steerable trustworthy AI rather than work on smaller and more specific puzzles. We view AI research as an empirical science which has as much in common with physics and biology as with traditional efforts in computer science. Were an extremely collaborative group and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic including: GPT-3 Circuit-Based Interpretability Multimodal Neurons Scaling Laws AI & Compute Concrete Problems in AI Safety and Learning from Human Preferences.

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits optional equity donation matching generous vacation and parental leave flexible working hours and a lovely office space in which to collaborate with colleagues. Guidance on Candidates AI Usage:Learn aboutour policy for using AI in our application process.