Financial Data Analyst Intern, Technical Operations
Stripe · Singapore · 8548 Payins - Eng · listed September 24, 2026
The shape of it
Seniority
Internship
Experience asked
2+ years
Where
Not stated
Requirements listed
7
Length
903 words
In the posting’s own words
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 it asks for · 7
- 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.
- 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
Also a plus
- 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
What the job covers
- 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
Degree language
- 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
Tools and skills named
Languages
- SQL2×
- Python
- Ruby
Ways of working
- Code review
- Git
Product & design
- Roadmap
Security & compliance
- Regulatory
Words the posting leans on
- data12×
- payment8×
- projects7×
- systems5×
- analysis4×
- experience4×
- financial data4×
- intern4×
- internship4×
- accuracy3×
- data quality3×
- feedback3×
- learn3×
- problems3×
- stakeholders3×
- stripes3×
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