Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Высокий темп
Смена формата
Чёткая зона ответственности
Растущий финтех
Современные технологии
Перспективный финтех
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Fraud Lead - Consumer Lending (Fintech): Architecting fraud prevention and decisioning frameworks for a WhatsApp-based Send Now Pay Later product with an accent on repayment fraud, identity spoofing, synthetic identities, chargebacks, and lending unit economics. Focus on designing rule-engine logic, deploying and calibrating machine-learning risk models, detecting sophisticated attack vectors, and coordinating operational and regulatory responses.
Location: Buenos Aires, Argentina; currently fully remote with a future transition to a hybrid setup
Company
hirify.global is building an AI-powered financial companion for Latinos in the US, combining conversational interfaces with real-time infrastructure for remittances, credit, savings, and wallet services.
What you will do
Design and refine first-party and third-party fraud typologies for the WhatsApp conversational lending ecosystem.
Own repayment fraud, identity spoofing, chargeback, exploit-loop, and synthetic-identity analytics for the Send Now Pay Later product.
Own fraud metrics including net fraud rate, false-positive ratios, challenge rates, and chargeback-to-sales ratios across the lending vertical.
Design decision-engine rules and logic using platforms such as Taktile, Provenir, or Alloy, and partner with Data Science on production machine-learning risk models.
Develop automated blocking protocols and manual investigation workflows with Operations and Engineering.
Coordinate with Legal and Compliance on Suspicious Activity Reports, loan abuse patterns, and system exploitation.
Requirements
4–5+ years of hands-on fraud risk strategy and prevention experience in consumer lending, BNPL, digital wallets, or credit card ecosystems.
Advanced SQL skills, including BigQuery or Snowflake, plus independent transactional-log analysis using Python, R, or BI visualization tools.
Experience with modern decision engines such as Taktile, Provenir, Alloy, or similar, and with deploying and monitoring machine-learning risk models in live environments.
Deep understanding of emerging fraud vectors, account takeover, and synthetic fraud, including the use of data and OSINT techniques for threat detection.
Ability to translate complex fraud patterns and technical metrics into actionable business risks for C-suite executives, product managers, and engineering teams.
Builder mentality with an experimental approach and the ability to move from high-level insights to policy execution with speed and precision.
Equivalent competencies in the listed areas may also be considered.
Culture & Benefits
Currently fully remote, with a future transition to a hybrid work model.
Competitive salary, initial stock options grant, and annual performance bonus.
Health, dental, and vision plans.
Continuous learning opportunities and growth in an entrepreneurial environment.
Unlimited PTO and paid parental leave.
Culture centered on customer focus, urgency, extreme ownership, low-ego collaboration, transparency, curiosity, and experimentation.
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