Fraud Architect

Responsibilities

• 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…
• 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…
• This role combines analytical rigor, deep fraud investigation, and product judgment. You’ll develop a deep understanding of how Radar scores and classifies transactions, how integrations and available signals affect its decisions, and where its capabilities and limitations matter for a user. You’ll explain what the…
• Your focus is proactive, user-specific risk ownership and durable prevention. You’ll provide user context, communicate implications and next steps, and turn incident findings into an implemented and verified prevention plan. You’ll help build, expand, and evolve defenses as user needs and fraud patterns change.
• Own each user’s prevention strategy.
• Maintain a current risk baseline, threat model, and agreed prevention plan for every assigned account. Understand payment methods, integrations, billing flows, trial and promotion mechanics, existing controls, and risk preferences; identify the top risks and gaps across the full customer lifecycle.
• Make Radar’s behavior understandable and actionable. Investigate scoring, classification, rule behavior, and signal coverage using transaction evidence and technical context. Explain observed behavior and uncertainty clearly, distinguish configuration or integration issues from potential model or feature gaps, and…
• Design and improve user protections. Help users configure and optimize Radar for their business model and risk tolerance.
• Develop and validate user-facing rules, thresholds, and integration recommendations, test their expected impact, and guide approved implementation. Balance fraud prevention with legitimate payment acceptance and false-positive risk, without taking on internal-rule deployment or model operations.
• Anticipate established and emerging fraud vectors. Investigate payment, account, and behavioral patterns to understand how abuse works and where it may move next. Advise on payment fraud, trial and promotion abuse, multi-accounting, bot activity, and usage-based billing exploitation. Evaluate defenses across payment…

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