Risk & Control Health Data Analyst

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.

We’re seeking a technically strong and strategically minded Risk & Control Health data analyst to join Stripe’s Risk & Controls Oversight function. As part of the Risk & Control Health team, you will help define and scale Stripe’s approach to control assurance through data analytics, reusable testing capabilities, and technology-enabled workflows.

This role is focused on building leverage, not just executing point-in-time testing. You will help design the analytical infrastructure, testing library, and operating model that enable Stripe to evaluate control effectiveness with greater consistency, depth, and scalability across a growing set of compliance obligations. You will also play a key role in shaping a more agentic assurance model by building workflows that combine structured data, repeatable test logic, and AI-enabled tools to improve how compliance testing is executed and maintained over time.

This is a high-impact opportunity for someone who wants to combine technical depth, analytical rigor, and program-building ability to strengthen Stripe’s long-term compliance assurance capabilities. 

This role offers the opportunity to help shape how Stripe delivers compliance assurance at scale. You’ll go beyond executing tests to build the underlying testing library, analytical infrastructure, and agentic workflows that enable a stronger, more scalable control assurance program over time. Your work will help Stripe improve assurance coverage, increase consistency and efficiency, and strengthen confidence in the effectiveness of its compliance controls.

Data-Driven Control Assurance and Program Development:

• →Define and scale a data-driven approach to compliance control assurance across an expanding product, partner, and regulatory landscape
• →Build the foundational analytical infrastructure used to evaluate control effectiveness, including datasets, evidences, metrics, and monitoring logic
• →Develop and maintain dynamic dashboards and reporting that give stakeholders clear visibility into control health, testing coverage, and assurance outcomes
• →Create reusable analytical frameworks that enable more consistent and scalable testing across different controls, obligations, and operating environments

Technical Control Assessment and Testing:

• →Translate complex technical implementations into clear testing logic and measurable assurance outcomes
• →Conduct rigorous testing of technical and operational controls using data analysis, system evidence, and structured testing methodologies
• →Evaluate whether controls are designed and operating effectively, identify deficiencies, and assess downstream compliance risk
• →Partner with cross-functional teams to improve control measurability, testability, and ongoing assurance coverage

Reporting and Communication:

• →Deliver reporting on test outputs to key compliance and cross-functional stakeholders
• →Clearly communicate complex technical findings to both technical and non-technical audiences
• →Contribute to risk reporting by providing data-driven insights on key areas of focus

Continuous Improvement:

• →Stay informed about emerging technologies and methodologies in risk assessment and data analysis
• →Stay up to date with Stripe’s product and business expansion in order to update data, dashboards, and control assessments in line with these changes

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.

• 5-7 years of experience in data analysis, or a related field, preferably in the fintech or financial services sector
• Strong technical skills, including proficiency in data analysis, SQL, and comfort working with LLM and AI technologies
• Experience in designing and developing metrics that effectively communicate risk and control narratives, enabling data-driven decision-making across the organization
• Experience with data visualization tools and creating dashboards 
• Solid understanding of risk management principles, control frameworks, and compliance areas
• Excellent analytical skills with the ability to work with large datasets and derive meaningful insights
• Strong attention to detail and a commitment to accuracy in data analysis and reporting
• Effective communication skills, able to explain technical concepts to various stakeholders
• Proactive and self-motivated, with the ability to manage multiple projects in a fast-paced environment