Fraud Architect

Job Description

Stripe users face fraud and abuse across the customer lifecycle, including payment fraud, free-trial farming, multi-account abuse, and usage-based billing exploitation. They need a partner who understands their business, anticipates emerging threats, and helps them put effective protections in place as their business and the threat landscape evolve.

As a member of our Fraud Architect team, you’ll be the fraud and risk specialist embedded in strategic user relationships for a small portfolio of named users, acting as a technical extension of their teams. You’ll help users get more from Radar, build a proactive prevention strategy, and turn complex fraud problems into practical decisions.

Responsibilities

• Own each user’s prevention strategy. Maintain a current risk baseline, threat model, and agreed prevention plan for every assigned account.
• Make Radar’s behavior understandable and actionable. Investigate scoring, classification, rule behavior, and signal coverage using transaction evidence and technical context.
• Design and improve user protections. Help users configure and optimize Radar for their business model and risk tolerance.
• Anticipate established and emerging fraud vectors. Investigate payment, account, and behavioral patterns to understand how abuse works and where it may move next.
• Deliver consistent proactive coverage. Run a weekly risk-health review for every assigned account, including those without active incidents, and share a concise health update.
• Own follow-through, not just recommendations. Maintain a user action plan with named owners, due dates, expected impact, and implementation status.
• Connect incident response to durable prevention. During incidents, provide user context and prioritization, coordinate user-facing updates with the account team, conduct merchant-specific root-cause analysis, synthesize findings with Engineering, and translate them into an implemented prevention plan.
• Turn user evidence into product improvements. Partner with Radar Product, Engineering, and Fraud Data Science to investigate limitations and define actionable requirements.
• Enable others to act. Build reusable playbooks, investigation tools, and prevention frameworks. Train Customer Success Managers, Technical Account Managers, and Account Executives to recognize common fraud patterns, explain risk tradeoffs, and know when to involve a specialist.
• Build and evolve the program. Shape account segmentation, coverage expectations, tooling, and hiring as the function grows.

Requirements

• 8+ years in a technical role with substantial direct user engagement, such as solutions architecture, technical account management, fraud consulting, professional services, engineering, or technical product work, at a payments company, fintech, risk management platform, or fraud-prevention provider.
• Hands-on experience investigating fraud or abuse and translating findings into effective controls or user guidance.
• Depth in payment fraud, account takeover, subscription or trial abuse, multi-accounting, dispute management, and network monitoring programs.
• Technical depth to understand API integrations, trace data and signal flows, investigate system behavior, and discuss technical limitations and implementation options with engineers.
• Practical understanding of machine-learning-based risk decisions and rule systems.
• Strong investigative and data science fundamentals: SQL proficiency and experience using Python, R, or a similar language.
• Experience managing multiple user relationships or technical engagements while maintaining proactive coverage and driving recommendations through implementation and measured results.
• Strong communication and product judgment.