Senior Fraud Data Scientist

Gemini is a global crypto and Web3 platform founded by Cameron and Tyler Winklevoss in 2014, offering a wide range of simple, reliable, and secure crypto products and services to individuals and institutions in over 70 countries. Our mission is to unlock the next era of financial, creative, and personal freedom by providing trusted access to the decentralized future.

As a Senior Fraud Data Scientist, you will play a critical role in protecting Gemini and our customers from emerging fraud risks. You’ll lead initiatives to strengthen our fraud prevention strategies, design and implement effective rules and controls, and proactively mitigate risk before it impacts our platform.

• Program Development: Design and lead the development of end-to-end fraud prevention and detection strategies, including procedures, fraud rules, and controls.
• Risk Analysis: Conduct sophisticated data analysis on large datasets (structured and unstructured) to identify emerging fraud trends, patterns, and potential risks.
• Monitoring & Optimization: Continuously monitor fraud prevention system performance, measure key risk metrics, and implement data-driven enhancements to improve accuracy and reduce false positives.
• Cross-Functional Collaboration: Partner with data science, risk operations, product, engineering, and customer support teams to integrate fraud prevention into products and services.
• Project Management: Oversee initiatives aimed at advancing fraud detection systems and optimizing operational processes.
• Reporting & Communication: Develop and deliver clear, actionable reports and insights for leadership and stakeholders, highlighting fraud risk exposure and the effectiveness of strategies and controls.

• 5+ years in fraud strategy, program management, or related risk management roles.
• Advanced analytical skills with proficiency in SQL, Python, Looker, and other data analysis and visualization tools.
• Hands-on experience with fraud detection and monitoring platforms, with the ability to analyze data and identify emerging fraud patterns.
• Strong verbal, written, and interpersonal skills with the ability to convey complex ideas clearly to both technical and non-technical audiences.
• Track record of working effectively across cross-functional teams (e.g., product, engineering, operations, compliance) to achieve shared goals.
• Comfortable making sound decisions in ambiguous or rapidly changing environments; skilled at using data to drive informed choices.
• Demonstrated ability to lead and execute projects spanning multiple teams, balancing priorities and driving results.
• Strong critical-thinking skills with the ability to stay composed under pressure and resolve complex issues.
• Hands-on experience with fraud transaction monitoring for credit card or debit card.

• This role requires on-call rotations.