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5 дней назад

Senior Staff Product Manager, Account Risk (Fintech)

205 500 - 278 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Staff Product Manager, Account Risk (Fintech): Owning real-time account-risk decisioning across onboarding and the account lifecycle with an accent on fraud prevention, AI-native models, compliance controls, and customer conversion. Focus on combining rules, models, verification steps, and third-party data, balancing approval rates against loss and friction, and measuring decision quality through rigorous experimentation.

Location: Mountain View, California, United States

Salary: $205,500–$278,000 per year base pay, with potential bonus, equity, and benefits

Company

A global financial technology platform providing products for tax preparation, credit monitoring, accounting, marketing, payments, payroll, and bill payment.

What you will do

  • Own account-risk funnel outcomes, including approval, conversion, fraud loss, false-positive, and churn metrics.
  • Define how rules, machine-learning models, verification steps, and data signals combine into real-time account decisions.
  • Reduce customer friction through auto-approval, progressive verification, and silent remediation.
  • Advance AI-native decision flows with strong performance, explainability, and operational guardrails.
  • Evaluate and integrate third-party vendors and ecosystem data while managing quality, coverage, and cost trade-offs.
  • Partner with engineering, AI science, risk policy, compliance, and operations to prioritize delivery and communicate results.

Requirements

  • 6+ years of risk product management experience with ownership of complex, technical, multi-team initiatives.
  • Demonstrated ownership of risk, fraud, identity, or onboarding decisioning outcomes and related business metrics.
  • Working knowledge of KYC, KYB, identity verification, and AML controls.
  • Experience partnering with data science and machine-learning teams to develop, evaluate, and productionize models.
  • Technical fluency in real-time decisioning, rules and policy engines, APIs, experimentation, analytics, and A/B testing.
  • Bachelor's degree required; experience in payments, fintech, e-commerce, or another high-scale financial domain required.

Nice to have

  • Master's degree or MBA.
  • Experience evaluating, integrating, and operationalizing third-party data vendors and pipelines.

Culture & Benefits

  • Cross-functional collaboration with globally distributed partners and domain experts.
  • Competitive compensation with a pay-for-performance approach.
  • Potential cash bonus, equity rewards, and employee benefits under applicable plans.
  • Regular compensation comparisons to support fair pay across ethnicity and gender categories.

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