Financial Data Analyst Intern, Technical Operations

Every internship at Stripe centers around a real, legitimate project that our team urgently needs. We will support you in shipping it. Yes, you will actually ship it. Example projects include building data quality checks for payment flows, creating dashboards to surface aging balance trends, automating compliance reporting, or analyzing cost structures across partner networks. As a Stripe intern, you'll be tackling important projects while working alongside exceptional people who insist on doing their best work. You'll learn from people with high standards who are great at inspiring others to do more and go further. We value technical and personal growth, and see our internship program as a vehicle to foster both. • Analyze financial data by writing queries and examining data quality, reconciliation accuracy, or cost structures across Stripe's payment flows • Write code or build tooling that will be used in production and has meaningful impact to Stripe's payment operations • Give and receive technical feedback through code reviews, data model discussions, or analysis walkthroughs • Collaborate with engineers, product managers, and finance stakeholders to seek and incorporate feedback on your work • Learn quickly by asking great questions, by working with your intern manager and teammates effectively, and by communicating the status of your work clearly

• Ambitious builder: You’re energized by building solutions without clear precedent and solving problems with far-reaching consequences. Successful Stripes are deeply curious, and prefer the joy of discovery to the comfort of certainty. • Rigorous thinker: You appreciate that things worth doing are rarely simple. You enjoy working on problems that have never been tackled before. • Adaptable problem solver: You adapt quickly and treat obstacles as opportunities. At Stripe we embrace kindness while encouraging Stripes to take measured risks and act boldly, even in the absence of consensus. • At least 2 years of university education, or equivalent work experience • Familiarity with SQL and querying relational databases, either through coursework or personal projects • Interest in payments, fintech, or financial systems • Comfort with developer tools (e.g. git) and data visualization • A strong interest in understanding how financial data flows through complex payment systems and ensuring its accuracy • Ability to write clearly to explain analytical findings to stakeholders, team members, and other Stripes

Who we are About Stripe Stripe is a technology company focused on improving the conditions for economic growth and prosperity. We build programmable financial infrastructure, rethinking from first principles how financial services should work, to make it easier and cheaper for any business to start and scale. More than 10 million businesses build on Stripe, spanning the economic frontier—from solo founders to established enterprises—united by a practical focus on growth. The most ambitious companies in the world use Stripe as core infrastructure to grow faster. They process trillions of dollars a year on Stripe, equivalent to around 1.6% of global GDP. While economic growth makes everyone better off, open markets also enable greater variety. When any business can easily serve a global customer base, the quality and diversity of products in the world increase, and craft and creativity are unleashed into the smallest niches. Our own growth is wholly contingent on the success of the businesses building on Stripe. We therefore invest back into our technology at an unusual rate. We make upgrades to our products every single day to deliver compounding gains to our customers. We maintain some of the most reliable APIs on the internet. We build entirely new pieces of financial infrastructure to enable new ideas. And our significant advances in risk and fraud infrastructure over many years are making the internet economy safer and more accessible. Though people at Stripe don’t tend to take themselves seriously, Stripe is a fairly serious place: our customers are depending on us for their livelihoods. We admire ambition, intensity, curiosity, humility, and rigor. The most effective people become knowledgeable about many domains besides their own. Any company is an applied exercise in understanding some aspect of society or the market. In working with so many (especially the new and innovative ones), we think that Stripe is one of the very best places to learn about how the world works. About the team The APAC Payments TechOps team ensures the accuracy of financial data flowing through Stripe's payment infrastructure, manages aging balances, maintains compliance with partner and regulatory requirements, and builds tooling to detect and resolve data quality issues at scale. Through the internship, you will work with real financial data, gain experience in payments data analysis and operational problem-solving, and have opportunities to present your work to your team and the wider org. Each intern has a dedicated intern manager, and every project is part of the team's roadmap and will directly help Stripe's mission. What you’ll do Every internship at Stripe centers around a real, legitimate project that our team urgently needs. We will support you in shipping it. Yes, you will actually ship it. Example projects include building data quality checks for payment flows, creating dashboards to surface aging balance trends, automating compliance reporting, or analyzing cost structures across partner networks. As a Stripe intern, you'll be tackling important projects while working alongside exceptional people who insist on doing their best work. You'll learn from people with high standards who are great at inspiring others to do more and go further. We value technical and personal growth, and see our internship program as a vehicle to foster both. Responsibilities • Analyze financial data by writing queries and examining data quality, reconciliation accuracy, or cost structures across Stripe's payment flows • Write code or build tooling that will be used in production and has meaningful impact to Stripe's payment operations • Give and receive technical feedback through code reviews, data model discussions, or analysis walkthroughs • Collaborate with engineers, product managers, and finance stakeholders to seek and incorporate feedback on your work • Learn quickly by asking great questions, by working with your intern manager and teammates effectively, and by communicating the status of your work clearly Who you are • Ambitious builder: You’re energized by building solutions without clear precedent and solving problems with far-reaching consequences. Successful Stripes are deeply curious, and prefer the joy of discovery to the comfort of certainty. • Rigorous thinker: You appreciate that things worth doing are rarely simple. You enjoy working on problems that have never been tackled before. • Adaptable problem solver: You adapt quickly and treat obstacles as opportunities. At Stripe we embrace kindness while encouraging Stripes to take measured risks and act boldly, even in the absence of consensus. Minimum requirements • A strong fundamental understanding of quantitative analysis through pursuit of a Bachelor's, Master's, or PhD degree in computer science, data science, finance, economics, information systems, or a related discipline • Some experience and familiarity with programming or data analysis, either through side projects or coursework. We work mostly in SQL, Python, and Ruby. We believe new programming languages can be learned if the fundamentals and general knowledge are present • Experience from previous internships or other multi-person projects, including open source contributions, that demonstrate evaluating and receiving feedback from mentors, peers, and stakeholders • Ability to learn unfamiliar systems and form an understanding of those systems, through independent research and working with a mentor and subject matter experts Preferred qualifications • At least 2 years of university education, or equivalent work experience • Familiarity with SQL and querying relational databases, either through coursework or personal projects • Interest in payments, fintech, or financial systems • Comfort with developer tools (e.g. git) and data visualization • A strong interest in understanding how financial data flows through complex payment systems and ensuring its accuracy •