Staff Data Analyst

About the role

Staff Data Analyst, Risk Data Science

Stripe builds the financial infrastructure that powers the internet economy. Millions of companies, from global enterprises to ambitious startups, rely on Stripe to accept payments, grow revenue, and unlock new opportunities. Our mission is to expand the GDP of the internet, a task that demands ambitious problem-solvers ready to tackle the most critical challenges of our time.

The Risk Data Science team is responsible for constructing the data foundations, models, and measurement frameworks that inform Stripe's risk and product decisions. These range from underwriting and reserves to merchant interventions. As we evolve risk capabilities into a platform for our users and internal stakeholders, we require a data leader capable of shaping how we build, measure, and refine our risk data strategy.

This position is centered on defining the analytical backbone for risk as a product offering. You will establish the metrics, data products, and frameworks that guide risk decisions at scale. The role demands a strategic partnership with cross-functional stakeholders to ensure data investments directly support product objectives. You will own the end-to-end lifecycle of key risk metrics, from definition through execution.

Key Responsibilities

You will set the strategic direction for risk metrics that clarify intent and focus for platforms and connected accounts. This involves establishing a canonical set of north star and operational metrics, ensuring they are documented, trustworthy, and consistently communicated to the appropriate audiences. You will maintain the integrity of these metrics as products and data landscapes change, creating clear ownership structures and alert mechanisms for deviations.

A core focus is building and optimizing the pipelines that deliver reliable insights. You will design workflows that keep risk data accurate and current while managing the cost of maintaining this accuracy. This includes creating scalable infrastructure that supports ongoing governance and quality checks.

You will also lead Stripe's risk experimentation strategy. This involves defining test parameters, selecting measurement methodologies, and analyzing outcomes to assess the impact of risk policies and model changes across diverse merchant segments. The goal is to create a continuous feedback loop that improves decision-making.

Finally, you will elevate the standard of analysis on the team. You will mentor analysts, providing guidance on problem framing, analytical structuring, and executive communication. Your leadership will ensure that insights are not only accurate but also actionable for senior stakeholders.

Qualifications

To be considered, you must meet the following minimum criteria.

• Experience: 10+ years in professional roles centered on data analysis or data science.
• Strategic Impact: A proven history of defining and driving data strategy across multiple teams. You must demonstrate the ability to shape initiatives, not merely execute them.
• Experimentation: Hands-on experience designing frameworks for experimentation and measurement in complex, multi-variant environments. This includes risk policies, pricing models, or marketplace dynamics.

Additional Information

This role is based in the United States and offers full-time employment. The listed compensation target is $180,000 per year, though total rewards may vary based on location and individual qualifications. Specific details regarding the application process and benefits can be found on the official Stripe careers page.

What you'll do

• Architect the foundational metrics and data frameworks that define risk strategy at scale, translating ambiguous problems into clear analytical structures.
• Establish and maintain canonical risk metrics, ensuring definitions are documented, trusted, and consistently communicated across product teams and stakeholders.
• Design and optimize data pipelines that deliver accurate, timely insights while balancing analytical rigor with the cost of maintaining data accuracy and reliability.
• Build scalable infrastructure and governance processes that uphold data quality, including validation checks, monitoring, and alerting for metric deviations.
• Lead the design and execution of risk experimentation programs, defining test parameters, measurement methodologies, and analysis of policy and model impacts.
• Analyze outcomes of risk initiatives across diverse merchant segments to assess effectiveness and guide iterative improvements to decision-making.
• Partner closely with cross-functional stakeholders to align data investments with product objectives, ensuring analytics directly support business goals.
• Mentor analysts on the team, providing coaching on problem framing, analytical structuring, and executive communication to elevate the standard of analysis.
• Drive ownership and clarity for risk data products, establishing clear accountability for metrics, pipelines, and insights across the organization.
• Champion a culture of evidence-based decision-making by ensuring insights are actionable, transparent, and accessible to senior stakeholders.
• Collaborate with engineering and product teams to integrate data solutions into risk workflows, ensuring tools are intuitive and scalable.
• Continuously evaluate emerging methodologies and tools to enhance the risk data platform, maintaining Stripe's leadership in risk innovation.

Requirements

• You bring 10+ years of experience in data analysis or data science roles, with a consistent track record of delivering complex analytical solutions.
• You have a proven ability to define and drive data strategy across multiple teams, demonstrating influence without direct authority.
• You have hands-on experience designing experimentation frameworks and measurement strategies for complex, multi-variant environments.
• You are comfortable working with risk policies, pricing models, and marketplace dynamics in your analytical work.
• You possess strong mastery of data tools and languages, enabling you to build and validate robust analytical models.
• You have a history of mentoring analysts and guiding them in problem framing, analytical structuring, and executive-level communication.
• You are committed to maintaining data integrity and accuracy, even when trade-offs between speed and precision are required.
• You are based in the United States and eligible for full-time employment under the terms defined by Stripe.

Nice to have

• Preferred experience with financial services risk, fraud, or payments domains.
• Familiarity with machine learning techniques applied to risk and compliance problems.
• Experience building data platforms or tooling to support governance and quality at scale.

Practical notes

• This role is based in the United States and requires eligibility for full-time employment.
• Compensation details are provided as a target base salary, with total rewards subject to variation based on location and individual qualifications.
• Further information regarding application procedures and benefits is available on the official Stripe careers site.