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.
AI @ 3
Dashboarding @ 2
Data Science
Fraud @ 3
GenAI
Generative AI @ 3
Looker @ 2
Payments
SQL @ 3
Security
Tableau @ 2
- 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.
Details
Coinbase is a remote-first, but not remote-only company, with quarterly in-person working sessions called “surges.” This is a 12-week internship during summer 2027.
Join the Payments Risk Management team as a Fraud Risk Intern based in New York. The team works at the intersection of payments, product, and security to protect Coinbase customers from fraud across payment rails such as ACH, cards, and real-time payments. You will work with risk professionals and product teams to strengthen fraud controls, identify actionable insights from transaction data, and help maintain a seamless user experience while preventing fraud.
Responsibilities
- Write SQL queries and build dashboards to detect anomalous behavior, analyze risk trends, and support monitoring of payment fraud signals.
- Synthesize data findings into clear narratives and present recommendations to Payments Risk leadership.
- Partner with Product, Data Science, and Engineering stakeholders to develop and pressure-test risk management strategies.
- Evaluate existing rules and controls for effectiveness, identify high false-positive rates, and recommend improvements.
- Collaborate with Customer Experience and Risk Analytics teams to apply findings that improve the user journey without introducing incremental risk.
- Document and improve operational processes and procedures for the risk team.
Requirements
- Currently pursuing a degree or certificate in a technology, finance, or analytics-related discipline, or equivalent experience.
- At least one year of hands-on SQL experience through coursework, projects, or prior internships.
- Ability to translate data into clear, structured recommendations, such as through class projects, case competitions, or prior work.
- Familiarity with dashboarding tools such as Tableau, Looker, or similar; coursework and personal projects are acceptable.
- Ability to use generative AI responsibly while maintaining human oversight and delivering business-ready outputs that improve workflow efficiency, cost, and quality.
Position ID: P78082.
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