Time since we first saw it
Day 28
Similar jobs usually come down between day 5 and day 43.
At Stripe, jobs usually come down by about day 60.
From 14,732 similar postings that came down, and 46 of Stripe’s. Coming down is not always a hire.
Singapore
Live, first seen by us 28 days agoJob title: Financial Data Analyst Intern, Technical Operations
Analyze financial data with queries to check data quality and reconciliation accuracy
Write code and tooling that goes into production payment operations
Give and receive technical feedback via code reviews and analysis walkthroughs
Work with engineers, product managers, and finance stakeholders on feedback
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
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
Familiarity with SQL and querying relational databases, either through coursework or personal projects
Ability to write clearly to explain analytical findings to stakeholders, team members, and other Stripes
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
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.
In the employer’s words · Read in context
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Day 28
Similar jobs usually come down between day 5 and day 43.
At Stripe, jobs usually come down by about day 60.
From 14,732 similar postings that came down, and 46 of Stripe’s. Coming down is not always a hire.
35 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- 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
- 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
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New Analyst postings at the employers we follow are up 23% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
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.
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.
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.
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Singapore
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