Responsibilities:

• Develop scalable methods to identify, measure, and control end-to-end risks across the user lifecycle, including credit and fraud risks.
• Proactively identify risk management opportunities and outline the strategy, translating complex requirements into technical specifications.
• Work closely with Product, Engineering, and Data Science teams to shape new product offerings and develop data-driven, globally scalable systems and processes.
• Become an expert on the global ecosystem of Stripe's products, integrations, tools, and partner requirements, and how those elements interact with payment risks.
• Develop strong internal relationships across partner teams and challenge the payments industry status quo to enable innovative businesses to flourish online.

Requirements:

• 5+ years of relevant experience with financial risk modeling.
• A builder's mindset with a willingness to question assumptions and conventional wisdom.
• Analytical skills, with expertise in data analysis, modeling, and framing business decisions and tradeoffs effectively through quantitative analysis and visualization.
• Collaborative skills, with the ability to work effectively across teams and build strong working relationships.
• Decisive, yet open to learning, with the ability to make critical decisions and quickly learn and iterate from experiences.
• Experience with SQL required.
• Bachelor's degree in Economics, Statistics, Computer Science, Engineering, or other quantitative or related field.

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