Credit Risk Strategist, Risk Foundations

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Risk Foundations is a small, high-leverage team with a mandate to maximize enterprise value for Stripe by managing risk across the user lifecycle. Whether we're evaluating net-new opportunity areas, investigating existential threats, or finding ways to unlock value in the existing business, we approach problems with rigor, nuance, and intellectual humility. If you're excited to shape the infrastructure that powers safe, sustainable growth for millions of businesses, we encourage you to apply. What you'll do Stripe handles billions of dollars every year for businesses around the world, and the Risk team plays a critical role in the company's financial and partnership success. As a Strategist on the Risk Foundations team, you'll help manage a rapidly growing merchant portfolio by guiding the credit strategy and devising growth-friendly solutions that reduce overall credit risk. This is a high-impact role that involves cross-functional partnership with Data Science, Engineering, Product, and Operations. Responsibilities Develop scalable methods to identify, measure, and control end-to-end risks (including Credit and Fraud) across the user lifecycle—this will involve identifying and shaping crucial risk management systems including in-product and back-end controls, use of external risk assessment tools, and implementation of rule-based and model-based detection systems Proactively identify risk management opportunities, outline the strategy, and translate complex requirements into technical specifications, which include shipping code to enable rapid iteration of risk strategy Work closely with Product, Engineering, and Data Science teams to shape product offerings and develop data-driven, globally scalable systems and processes that combine strong risk management fundamentals with seamless user experiences Become an expert on the global ecosystem of Stripe products, integrations, tools, and partner requirements, and how those elements interact with payment risks Develop strong internal relationships across partner teams (Data Science, Product, Engineering, Treasury, Sales, Operations, and Finance) Challenge the payments industry status quo to help enable innovative businesses to flourish online Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements 5+ years of relevant experience with financial risk modeling A builder's mindset with a willingness to question assumptions and conventional wisdom You're well versed in data analysis and modeling, and able to frame business decisions and tradeoffs effectively through quantitative analysis and visualization Ability to work effectively across teams, building strong working relationships in order to successfully execute on shared deliverables Decisive, yet open to learning, you'll make many critical decisions every day impacting large numbers of merchants and quickly learn and iterate from these experiences Understanding and empathetic to the challenges of setting up a new business, you'll thoughtfully balance scaled enforcement decisions with user experience An enthusiastic, hands-on mentality Experience with SQL required Bachelor's degree in Economics, Statistics, Computer Science, Engineering, or other quantitative or related field Preferred qualifications Experience with Python Demonstrated experience working in fast-paced, highly ambiguous environments Familiarity with LLM agents and how they augment risk management practices

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