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StripeStripe

Risk Strategist

Develops risk strategy and scalable, AI-enabled workflows for Stripe’s local payment method and product launches. The role requires at least five years of relevant experience, strong analytical judgment, data fluency, and the ability to align technical and cross-functional stakeholders.

About the job

Responsibilities

  • Identify risk scenarios associated with new products, product changes, and local payment method initiatives; translate them into clear requirements, controls, and actions for cross-functional teams.
  • Improve and automate product-risk workflows through AI tools, data, and agent-based solutions, reducing manual work.
  • Define and build consistent, scalable processes for risk assessment, decision-making, and monitoring.
  • Help set the risk strategy and operating approach for product launches, including how teams assess risk, record decisions, and monitor outcomes.
  • Communicate complex risk issues clearly to technical and non-technical stakeholders, providing practical recommendations that support responsible product growth.
  • Define metrics to track risk exposure, control effectiveness, and operational efficiency.
  • Build relationships across Risk and Product and align teams when trade-offs or ambiguity arise.
  • Develop expertise in adjacent product-risk areas, including fraud.

Requirements

  • 5+ years of experience in risk, financial services, fintech, product strategy, data, or a related field.
  • Experience partnering with cross-functional teams, especially Product, Engineering, Data Science, Operations, or Partnerships.
  • Strong analytical judgment and the ability to turn complex information into clear recommendations and next steps.
  • Familiarity with and interest in building and applying automation, tools, or agent-based workflows to improve processes and outcomes.
  • Experience using data to investigate problems, assess performance, or inform decisions.
  • Clear communication skills and the ability to build alignment across teams with different priorities.

Preferred Qualifications

  • Experience assessing risk for new products, product launches, or material product changes.
  • Experience in payments, product risk, platform risk, fraud, or financial crimes.
  • Experience using and building agentic workflows and using AI tools to simplify processes.
  • Experience with SQL, data analysis, data science workflows, or operational tools.
  • Experience working with technical teams to define requirements and improve internal systems or processes.
  • Familiarity with risk-control design, monitoring, or policy development.

Skills

Risk Management, Product Risk, Payments, Fraud, Financial Crimes, Artificial Intelligence, Agentic Workflows, Automation, SQL, Data Analysis, Data Science, Risk Controls, Risk Monitoring, Policy Development, Cross-Functional Collaboration

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