Role in brief
Stripe is seeking a Fraud Strategy Manager to lead a team focused on preventing fraud across its financial products. This role involves overseeing the entire fraud prevention lifecycle, partnering with various internal teams, and driving scalable fraud strategies. Candidates with extensive financial services experience, leadership skills, and a background in AI and automation are encouraged to apply.
About the role
This role involves leading a specialized team of fraud strategists dedicated to protecting Stripe's growing portfolio of financial products from fraudulent activities. The manager will be responsible for guiding the team through the complete fraud prevention lifecycle, from initial strategy development to execution and continuous improvement. Success in this position means effectively safeguarding Stripe's assets while enabling business growth.
The Fraud Strategy Manager will act as a central partner, collaborating with product, engineering, data science, and operations teams. This involves understanding performance metrics, analyzing loss trends, and communicating insights to leadership. The role requires a strategic mindset to develop and implement innovative fraud prevention measures that can scale across Stripe's diverse product offerings.
A key component of this position is team leadership and development. The manager will coach and mentor fraud strategists, focusing on nurturing talent and building a high-performing team. This includes recruiting new members and fostering an environment of continuous learning and collaboration, particularly in areas like AI and automation for fraud prevention.
The salary for this position ranges from $51,750 to $86,250 USD.
Skills that matter here
- AI: This role champions the use of AI and automation to develop and implement scalable fraud prevention strategies.
- data analysis: The manager will deeply understand performance metrics and loss trends, which requires strong data analysis capabilities.
- Python: Expertise with quantitative tools like Python is a preferred qualification for building scaled fraud prevention systems.
- R: Expertise with quantitative tools like R is a preferred qualification for building scaled fraud prevention systems.
Who this role suits
- A person who thrives on mentoring and developing team members, fostering a high-performing environment.
- Someone with a strong background in financial services, payments, or FinTech who understands risk management at scale.
- An individual who can effectively collaborate with diverse teams and communicate complex information to leadership.
- A leader who is decisive but also open to new ideas and champions innovative approaches like AI and automation.
From the employer
- 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.
Questions about this role
What is the remote work policy for this role?
This is a fully remote position.
What level of seniority is expected for this position?
This is a middle-seniority role, requiring over 10 years of relevant experience.
What are the key technical skills required for this role?
Key technical skills include experience with AI, data analysis, and quantitative tools such as Python and R.
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