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3 дня назад

Fraud Lead - Consumer Lending (Fintech)

Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
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): Designing and operating fraud prevention architecture for a conversational cross-border lending product with an accent on repayment fraud, identity spoofing, chargeback analytics, and dynamic decisioning. Focus on building decision-engine rules, deploying machine-learning risk models, detecting synthetic identities and account takeover, and protecting lending unit economics while maintaining conversion.

Location: USA; Conditions: Washington. Currently fully remote, with a future transition to a hybrid setup.

Company

hirify.global is a hyper-growth Series C fintech building an AI-powered conversational financial platform for Latinos in the US, including 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, synthetic identity, and exploit-loop analytics for the Send Now Pay Later product.
  • Manage fraud metrics including net fraud rate, false-positive ratios, challenge rates, and chargeback-to-sales ratios.
  • Architect decision-engine rules and partner with Data Science to deploy, monitor, and calibrate machine-learning risk models.
  • Design automated blocking protocols and manual investigation workflows with Operations and Engineering.
  • Coordinate with Legal and Compliance on Suspicious Activity Reports, loan abuse, and system exploitation.

Requirements

  • 4–5+ years of hands-on fraud risk strategy and prevention experience in consumer lending, BNPL, digital wallets, or credit cards.
  • Advanced SQL skills, including BigQuery or Snowflake, plus data manipulation with Python, R, or BI visualization tools.
  • Ability to independently extract, analyze, and model transactional logs.
  • Experience with modern decision engines such as Taktile, Provenir, Alloy, or similar.
  • Experience deploying and monitoring machine-learning risk models in live environments.
  • Deep understanding of emerging fraud vectors, account takeover, and synthetic fraud, including data and OSINT techniques for threat detection.
  • Ability to translate fraud patterns and technical metrics into actionable risks for C-suite executives, product managers, and engineering teams.
  • Builder mentality with the ability to move from data insights to policy execution quickly and autonomously; equivalent competencies may also be considered.

Culture & Benefits

  • Currently fully remote, with a future transition to a hybrid setup.
  • Competitive salary, initial stock options grant, and annual performance bonus.
  • 401(k), health, dental, and vision plans.
  • Unlimited PTO and paid parental leave.
  • Continuous learning and growth opportunities in an entrepreneurial environment.

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