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3 дня назад

Fraud Lead - Consumer Lending (Fintech)

Формат работы
remote (только Argentina)/hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Argentina
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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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