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11 часов назад

Manager 3, Software Engineering (Fintech Risk)

Формат работы
onsite
Тип работы
fulltime
Грейд
director
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

Manager 3, Software Engineering (Fintech Risk): Lead the Fintech Risk Platform organization, defining and executing end-to-end risk technology strategy with an accent on fraud, credit risk, payments, and compliance domains. Focus on driving enterprise-wide architecture, AI/ML-driven decisioning systems, cross-functional alignment, and optimizing KPIs like fraud loss rate, approval rates, and customer churn.

Location: Mountain View, California

Company

Global financial technology platform serving 100 million customers with products like TurboTax, Credit Karma, QuickBooks, and Mailchimp.

What you will do

  • Define and own enterprise risk platform strategy, aligning technology with business goals for loss reduction, customer experience, and revenue growth.
  • Partner with Risk leadership to improve KPIs like fraud loss rate, risk-induced churn, approval rates, and portfolio health.
  • Lead execution of large-scale risk initiatives, ensuring speed, scalability, and regulatory compliance.
  • Guide evolution of real-time risk decisioning platforms with AI/ML capabilities and modern architectures.
  • Build and develop multi-layered engineering organization with focus on leadership, talent development, and business-centric culture.
  • Act as advisor to executives across Risk, Product, Finance, Compliance, influencing company-wide decisions.

Requirements

  • 15+ years software engineering experience with 8+ years leading senior leaders and multi-layered organizations
  • Proven track record owning large-scale risk, fraud, payments, or financial platforms
  • Experience influencing business KPIs like loss rate, approval rate, or customer churn
  • Deep expertise in distributed systems, cloud-native architectures, and real-time decisioning systems
  • Strong ability to partner with executives and translate between technical and business domains

Nice to have

  • Experience owning risk P&L, fraud loss budgets, or portfolio performance
  • Background in AI/ML-driven risk systems and model governance
  • Operating in highly regulated financial environments
  • MBA or advanced degree in Computer Science or Engineering

Culture & Benefits

  • Competitive compensation with pay-for-performance rewards, cash bonus, equity, and benefits.
  • Strong focus on fair pay through regular comparisons across ethnicity and gender categories.
  • Culture of ownership, accountability, and business-centric thinking tied to risk outcomes.

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