Financial Data Analyst Intern, Technical Operations

at Stripe

📍 Singapore, Singapore

SGD 62,000-62,400 per year

INTERN

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

Compliance Data Analysis @ 3 Data Science @ 6 Data Visualization @ 3 FinTech @ 3 Git @ 3 Payments @ 3 Python @ 3 Ruby @ 3 SQL @ 2

Details

Stripe's 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. During the internship, you will work with real financial data, gain experience in payments data analysis and operational problem-solving, and present your work to your team and the wider organization. Each intern has a dedicated intern manager, and every project is part of the team's roadmap.

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 have a meaningful impact on 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.
Learn quickly by asking questions, working effectively with your intern manager and teammates, and communicating the status of your work clearly.
Potential projects include building data quality checks for payment flows, creating dashboards to surface aging balance trends, automating compliance reporting, and analyzing cost structures across partner networks.

Requirements

Pursuing a Bachelor's, Master's, or PhD degree in computer science, data science, finance, economics, information systems, or a related discipline, with a strong fundamental understanding of quantitative analysis.
Some experience with programming or data analysis through side projects or coursework. Stripe primarily uses SQL, Python, and Ruby.
Experience from previous internships or other multi-person projects, including open source contributions, demonstrating the ability to evaluate and receive feedback from mentors, peers, and stakeholders.
Ability to learn unfamiliar systems through independent research and collaboration with mentors and subject matter experts.
At least two years of university education, or equivalent work experience.
Familiarity with SQL and querying relational databases through coursework or personal projects.
Interest in payments, fintech, or financial systems.
Comfort with developer tools such as Git and with data visualization.
Strong interest in understanding how financial data flows through complex payment systems and ensuring its accuracy.
Ability to write clearly when explaining analytical findings to stakeholders, team members, and colleagues.
Ambition, curiosity, rigorous thinking, adaptability, and problem-solving skills.

Benefits

Dedicated intern manager.
Opportunity to work on a real project that is part of the team's roadmap and ship production-impacting work.
Opportunities for technical and personal growth, including feedback from experienced teammates.