Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Это четко определенная роль с высокой зоной ответственности в быстрорастущем финтех-стартапе, предлагающая работу с современным стеком для предотвращения мошенничества.
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Текст:
Hirify AI/Оригинал
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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