Risk & Control Health Data Analyst
Stripe•3h ago
United StatesRemoteFull-timeMid Level5+ yrs exp
H-1B sponsor
Top focus
Data AnalystVp Data
- 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
- accelerate new business opportunities. Our mission is to increase the GDP of the internet
- 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
- What you’ll do
- 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
- 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
- operating model that enable Stripe to evaluate control effectiveness with greater consistency, depth
- 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
- 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
- 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
- strengthen confidence in the effectiveness of its compliance controls.
- Responsibilities
- 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
- 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
- 5-7 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
Required skills
data analysisSQLLLMAIdata visualization