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Stripe
Stripe
1 001 – 5 000 Xodimlar
H1B vizasi homiysiB2BElektron tijoratFintex
Stripe butun dunyodagi bizneslar uchun to‘lovlar va moliyaviy infratuzilma yaratadigan fintech kompaniyasidir. Uning platformasi dasturchilar uchun qulay vositalar va API’lar orqali onlayn va oflayn to‘lovlar, hisob-kitoblar, daromadlarni boshqarish hamda ichki moliyaviy xizmatlarni qo‘llab-quvvatlaydi. Stripe B2B va B2C bozorlarida startaplardan tortib, faoliyati yo‘lga qo‘yilgan yirik korxonalargacha bo‘lgan mijozlarga xizmat ko‘rsatadi. Kompaniya bizneslarga mablag‘larni boshqarish va rivojlanishda yordam beradigan mahsulotlarni ishlab chiqish hamda ulardan foydalanish bilan bog‘liq imkoniyatlarni taqdim etadi.
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Kompaniyadagi ish o‘rinlari

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.

USAmerika Qo‘shma ShtatlariMasofaviyTo‘liq stavkaSeniorYetakchiTalab Qilinadigan Til: inglizchaArxitektor
PythonSQL

Tavsif

  • 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

Talablar

  • 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

O‘xshash ish o‘rinlari

Supermicro

Software Quality Engineer, Manufacturing Data

Supermicro
5 001 – 10 000 Xodimlar
Ishlab chiqarishKonsaltingLogistika
TWTayvanOfisdaTo‘liq stavkaJuniorO‘rta darajaTalab Qilinadigan Til: inglizchaTalab Qilinadigan Til: xitoyQA muhandisi
DockerETLNumpyOraclePandasPostgresPythonSQL

Build ETL pipelines, PostgreSQL data services, and warehouse layers for Supermicro’s server and networking solutions. Support manufacturing analytics, quality metrics, and data governance across sites.

Ochish