Senior Fraud Data Scientist (Credit Card)

About the Company

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. We envision a world where crypto reshapes the global financial system, internet, and money to create greater choice, independence, and opportunity for all — bridging traditional finance with the emerging cryptoeconomy in a way that is more open, fair, and secure. As a publicly traded company, Gemini is poised to accelerate this vision with greater scale, reach, and impact.

The Department: Fraud Operations

The Fraud Operations team is committed to protecting our users by stopping bad actors, safeguarding funds, and upholding the integrity of Gemini’s digital asset marketplace - all while operating at scale to deliver a seamless experience for our users. Our diverse team brings expertise across technology, legal, risk, data, and operations, leveraging advanced tools and analytics to protect users and disrupt fraud. We collaborate closely with product, engineering, operations, and compliance teams to manage risk effectively and support sustainable business growth.

The Role: Senior Fraud Data Scientist (Credit Card)

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. Your work will range from evaluating fraud exposure to driving cross-functional projects that enhance detection capabilities and safeguard customer trust.

You are strategic, detail-oriented, and collaborative, with the ability to navigate complex risk landscapes while balancing prevention with a seamless customer experience. You thrive in fast-paced environments, excel at working independently, and bring deep subject matter expertise in fraud trends and mitigation techniques.

This role requires strong experience with fraud detection systems, risk management methodologies, and regulatory frameworks. You’ll partner closely with teams across product, engineering, operations, and compliance to deliver impactful improvements to risk controls. Strong analytical and technical skills are essential, including expert level proficiency in SQL (and other data tools), along with the ability to design, manage, and measure the effectiveness of fraud prevention rules.

This role requires on-call rotations.

Responsibilities:

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.

Minimum Qualifications:

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.