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Stripe
Stripe
1.001 – 5.000 Angajați
Sponsor pentru viza H1BB2BComerț electronicFintech
Stripe este o companie de tehnologie financiară care dezvoltă soluții de plăți și infrastructură financiară pentru companii din întreaga lume. Platforma sa acceptă plăți online și în persoană, facturare, gestionarea veniturilor și servicii financiare integrate prin instrumente și API-uri ușor de utilizat de către dezvoltatori. Stripe deservește clienți de la startupuri până la întreprinderi consacrate pe piețele B2B și B2C, oferind oportunități legate de dezvoltarea și operarea unor produse care ajută companiile să își gestioneze banii și să crească.
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Senior Fraud Architect at Stripe (Remote, US)

Lead fraud-prevention strategy for Stripe users through Radar, combining threat investigation, risk-control optimization, and technical guidance. Turn fraud insights into measurable improvements across payments, accounts, and abuse prevention.

USStatele Unite ale AmericiiRemoteNormă întreagăSeniorLiderLimbă Obligatorie: englezăArhitect
PythonSQL

Descriere

  • Own prevention strategies for assigned users, including risk baselines, threat models, and prevention plans
  • Analyze Radar scoring, classifications, rules, and signal coverage using transaction evidence and technical context
  • Explain fraud evidence and uncertainty while recommending configuration, integration, model, or feature changes
  • Guide users in configuring and optimizing Radar, including the development and validation of rules, thresholds, and integrations
  • Investigate payment, account, and behavioral abuse such as payment fraud, promotion abuse, multi-accounting, bots, and usage-based billing exploitation
  • Lead weekly risk-health reviews and provide concise updates
  • Set early-warning thresholds and notification paths, then convert fraud, dispute, approval-rate, and false-positive changes into prevention actions
  • Track action plans with owners, deadlines, expected impact, and implementation status
  • Coordinate incident communications, perform merchant-specific root-cause analysis, and confirm prevention effectiveness
  • Work with Radar Product, Engineering, and Fraud Data Science to investigate limitations and define requirements
  • Manage a cross-user backlog covering signal, model, integration, and payment-method gaps
  • Create playbooks, investigation tools, and prevention frameworks while training Customer Success Managers, Technical Account Managers, and Account Executives
  • Help shape account segmentation, coverage standards, tooling, hiring, incident handoffs, and program measurement

Cerințe

  • At least eight years in a technical role with substantial direct user engagement at a payments company, fintech, risk platform, or fraud-prevention provider
  • Hands-on experience investigating fraud or abuse and converting findings into effective controls or user guidance
  • Deep knowledge of payment fraud, account takeover, subscription or trial abuse, multi-accounting, dispute management, and network-monitoring programs such as VAMP, ECM, or EFM
  • Technical understanding of API integrations, trace data, signal flows, system behavior, technical constraints, and implementation options
  • Practical knowledge of machine-learning risk decisions and rule systems, including signal availability, model behavior, rules, and thresholds
  • Proficiency in SQL plus Python, R, or a comparable language for hypothesis testing, pattern analysis, and control evaluation
  • Ability to evaluate data quality, delayed fraud outcomes, precision, recall, false positives, and business impact
  • Experience managing multiple user relationships or technical engagements and driving recommendations through implementation and measured outcomes
  • Strong communication skills and sound product judgment
  • Preferred: experience with Stripe Radar or comparable platforms such as Forter, Sift, Ravelin, or Signifyd
  • Preferred: experience designing, testing, and tuning production fraud rules or thresholds
  • Preferred: experience collaborating with product managers, engineers, and data scientists
  • Preferred: familiarity with device intelligence, alternative payment methods, non-payment abuse prevention, or usage-based business models
  • Preferred: experience building and scaling a technical advisory function or multi-account service model

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75.000 $ – 141.750 $ / an
La sediuNormă întreagăNivel mediuSeniorLimbă Obligatorie: englezăManager

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