Credit & Fraud Risk Intern (Summer 2025)

About the Company

Gemini is a global crypto and Web3 platform founded by Tyler Winklevoss and Cameron Winklevoss in 2014. Gemini offers a wide range of crypto products and services for individuals and institutions in over 70 countries.

Crypto is about giving you greater choice, independence, and opportunity. We are here to help you on your journey. We build crypto products that are simple, elegant, and secure. Whether you are an individual or an institution, we help you buy, sell, and store your bitcoin and cryptocurrency. 

At Gemini, our mission is to unlock the next era of financial, creative, and personal freedom.

The Department: Risk

The Role: Credit & Fraud Risk Intern

Gemini is seeking a highly motivated individual to join the Gemini Credit Card team as a Credit and Fraud Risk Intern. This internship offers a unique opportunity to gain hands-on experience in credit card risk management while working in the fast-evolving cryptocurrency and fintech space. 

In this role, you will leverage technical solutions to monitor real-time risks and recommend strategies for effective risk mitigation. You will have the opportunity to learn core risk management principles while contributing to the development of innovative solutions tailored to an evolving market landscape.

This will be a 10-week internship program this summer starting the second week of June.

Responsibilities:

• Credit Card Risk & Fraud Analytics
  • Conduct data-driven analysis to develop and refine fraud detection strategies, including rules, thresholds, and operational workflows to minimize fraud-related losses while optimizing the customer experience.
  • Support real-time risk monitoring by identifying suspicious transaction patterns and proposing mitigation strategies.
  • Assist in testing and implementing risk mitigation strategies, collaborating with engineering and data teams to enhance fraud detection capabilities.
  • Analyze complex datasets to identify emerging fraud trends and develop predictive models or risk-scoring methodologies.
  • Contribute to the development of new fraud detection rules, spending pattern analysis, and risk alerting mechanisms.
• Credit Risk Management
  • Support credit risk-related initiatives, including portfolio monitoring, credit policy refinement, and risk exposure assessments.
  • Assist in evaluating credit risk strategies, including approval criteria, credit line management, and default risk analysis.
• Reporting & Insights
  • Generate post-implementation reports to evaluate the effectiveness of fraud prevention strategies and suggest enhancements.
  • Conduct ad-hoc risk analysis to support senior management decision-making, using dashboards and analytics tools to present key insights.
  • Summarize findings and prepare presentations to communicate risk trends and recommendations to leadership.
• Cross-functional Collaboration
  • Work closely with Product, Engineering, Operations, Data, Compliance, and Collections teams to enhance fraud and credit risk management strategies.
  • Effectively communicate insights and recommendations across teams, ensuring alignment on risk mitigation priorities.

Minimum Qualifications:

• Currently pursuing a Bachelor’s or Master’s degree in a related field (Finance, Economics, Statistics, Computer Science, Data Analytics, or similar).
• Strong analytical skills and ability to work with large datasets.
• Proficiency in Excel, including functions such as XLOOKUP, COUNTIF, SUMIF, and Pivot Tables.
• Familiarity with SQL and relational databases.
• Interest in credit card risk, fraud detection, and financial risk management.
• Excellent verbal and written communication skills.
• Ability to thrive in ambiguous situations and make data-driven decisions.
• A proactive, hands-on approach with a willingness to learn and take on challenges.

Preferred Qualifications: 

• Experience with data visualization tools (e.g., Tableau, Looker, Power BI).
• Knowledge of Python for data analysis and automation.
• Familiarity with fraud risk models, machine learning techniques, or transaction monitoring systems.
• Roll-up-the-sleeves, no-task-is-too-small-attitude - willingness to do what’s necessary to ensure the safety of our customers.
• A healthy balance of empathy and skepticism, and the ability to question one’s own assumptions.

Pay Rate: The hourly pay rate for this role is $34/hour in the State of New York, the State of California and the State of Washington. When determining a candidate’s compensation, we consider a number of factors including skillset, experience, job scope, and current market data.

In the United States, we have a flexible hybrid work policy for employees who live within 30 miles of our office headquartered in New York City and our office in Seattle. Employees within the New York and Seattle metropolitan areas are expected to work from the designated office twice a week, unless there is a job-specific requirement to be in the office every workday. Employees outside of these areas are considered part of our remote-first workforce. We believe our hybrid approach for those near our NYC and Seattle offices increases productivity through more in-person collaboration where possible.

At Gemini, we strive to build diverse teams that reflect the people we want to empower through our products, and we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Equal Opportunity is the Law, and Gemini is proud to be an equal opportunity workplace. If you have a specific need that requires accommodation, please let a member of the People Team know.

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