Fraud Architect

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of each assigned user’s prevention strategy, encompassing risk baseline, threat model, and prevention plan.

• Analyze Radar scoring, classification, rule behavior, and signal coverage by utilizing transaction evidence and technical context.

• Clarify fraud evidence and uncertainty while recommending configuration, integration, model, or feature actions.

• Assist users in configuring and optimizing Radar; develop and validate rules, thresholds, and integration recommendations.

• Explore payment, account, and behavioral fraud patterns, including payment fraud, trial and promotion abuse, multi-accounting, bot activity, and exploitation of usage-based billing.

• Conduct weekly risk-health reviews and deliver succinct health updates.

• Set up early-warning thresholds and notification processes; convert changes in fraud, dispute, approval rates, and false positives into prevention actions.

• Keep action plans updated with owners, due dates, anticipated impact, and implementation status.

• Coordinate incident updates, perform merchant-specific root-cause analyses, and assess prevention effectiveness.

• Collaborate with Radar Product, Engineering, and Fraud Data Science to explore limitations and establish requirements.

• Manage a cross-user backlog of signal, model, integration, and payment-method gaps.

• Develop playbooks, investigation tools, and prevention frameworks; educate Customer Success Managers, Technical Account Managers, and Account Executives.

• Influence account segmentation, coverage expectations, tooling, hiring, incident handoffs, and program measurement.

⛳️ Requirements

• 8+ years in a technical role that involves significant direct user engagement at a payments company, fintech, risk management platform, or fraud-prevention provider.

• Practical experience in investigating fraud or abuse and converting findings into effective controls or user guidance.

• Expertise in payment fraud, account takeover, subscription or trial abuse, multi-accounting, dispute management, and network monitoring programs like VAMP, ECM, or EFM.

• Technical knowledge of API integrations, trace data and signal flows, system behavior, technical limitations, and implementation options.

• Solid understanding of machine-learning-based risk decisions and rule systems, including signal availability, model behavior, rules, and thresholds.

• Proficiency in SQL and experience with Python, R, or similar languages for hypothesis testing, pattern exploration, and control assessment.

• Capacity to evaluate data quality, delayed fraud outcomes, precision, recall, false positives, and business impact.

• Proven experience managing multiple user relationships or technical engagements and driving recommendations from implementation to measurable results.

• Excellent communication skills and strong product judgment.

• Preferred: experience with Stripe Radar or comparable platforms like Forter, Sift, Ravelin, or Signifyd.

• Preferred: experience in designing, testing, and fine-tuning fraud rules or thresholds in production environments.

• Preferred: experience collaborating with product managers, engineers, and data scientists.

• Preferred: familiarity with device intelligence, alternative payment methods, abuse prevention beyond payments, or usage-based business models.

• Preferred: experience in establishing and scaling a technical advisory function or multi-account service model.

🏝️ Benefits

• Comprehensive health, dental, and vision insurance.

• Generous paid time off and holiday policies.

• Opportunities for professional development and career advancement.

• Flexible work environment with remote work options.

• Collaborative and inclusive company culture.