About the Position

We are looking for a Senior Fraud Data Scientist (Credit Card) to join our Risk Engineering (Fraud Operations) team at Gemini, a global crypto and Web3 platform. In this role, 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.

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.

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.

Requirements

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.

Nice to Have

Strong expertise in detecting and mitigating fraud risk, including account takeover, synthetic identity, distributed attacks, payment fraud, and collusion.
Proven experience addressing and preventing fraud in digital channels and card-not-present environments.
In-depth knowledge of ACH risks, including reversal flows and related vulnerabilities.
Background working in fast-paced, high-growth environments, ideally within fintech or other technology-driven industries.
Comprehensive understanding of scam, phishing, and social engineering threats with experience implementing effective mitigation strategies.
Knowledge of dispute representment requirements and industry best practices.
Proven ability to thrive in fast-paced, technology-driven environments and adapt quickly to change.
Familiarity with financial markets, banking, or digital asset exchanges.

We Offer

Competitive starting pay
A discretionary annual bonus
Long-term incentive in the form of a new hire equity grant
Comprehensive health plans
401K with company matching
Paid Parental Leave
Flexible time off

Salary Range

The base salary range for this role is between $116,250 - $155,000 in the State of New York, the State of California, and the State of Washington. This range is not inclusive of our discretionary bonus or equity package.

Locations

New York, New York; USA
Miami, Florida; USA
Remote (USA)

Work Location Type

Hybrid

Employment Type

Full-time

Experience Level

Senior

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Senior Fraud Data Scientist (Credit Card)

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