Stripe

Fraud Strategy Manager

8.0/10
Stripe
$51,750 – $86,250 USD38.9% below market
Remote
mid
about 2 hours ago
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The vacancy is well-structured and informative, providing clear expectations and requirements for applicants.

AI quality score8.2 / 10

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Overview

Join Stripe as a Fraud Strategy Manager to lead a team in developing strategies to prevent fraud while enabling growth across various products. Ideal for candidates with a strong background in financial services and team management. As a Manager on the Fraud Strategy team, you will lead a team of high performing and tenured fraud strategists responsible for safeguarding Stripe’s rapidly expanding portfolio of money movement and money management capabilities from fraud.

What you'll do

  • Lead a Specialized Team: Coach and mentor a world-class team of fraud strategists.
  • Own the E2E Fraud Prevention Lifecycle: Oversee the team's execution across all critical decision points.
  • Strategic Stakeholder Partnership: Act as a key partner to Product, Engineering, Data Science, and Operations.
  • Systems Thinking: Deeply understand our performance metrics including loss trends and leading indicators.
  • Executive Communication: Effectively and clearly communicate with internal and external leadership teams.
  • Thought Leadership: Drive innovative fraud strategies that scale across Stripe’s wide range of products.

Minimum requirements

  • 10+ years of relevant experience, preferably in Financial Services, Payments or FinTech.
  • A coach and mentor dedicated to nurturing talent.
  • Experience recruiting, developing, and managing diverse and high-performing teams.
  • Strong collaboration, communication, and relationship-building skills.
  • Excellent communicator (verbal and written).
  • Decisive, yet open to learning.
  • Proven ability to collaborate and execute scaled and high complexity projects.
  • Champion for AI and automation.

Preferred qualifications

  • Strong data visualization skills.
  • Experience in a high-growth technology company managing risk at scale.
  • Experience working in tech or in another fast-paced, high-growth environment.
  • Experience in building scaled systems to prevent fraud.
  • Expertise with quantitative tools such as Python, R, etc.
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