Senior Fraud Data Scientist

Unchain Data; United States; Hybrid; USD 116,250 - 155,000; Full time

Benefits offered by this job

Competitive salary

Annual bonus

Equity grant

Health plans

401K

Parental leave

Flexible time off

Job summary

Gemini seeks a Senior Fraud Data Scientist to protect users and assets, lead fraud prevention initiatives, and design rules and controls across the platform.

You will partner with product, engineering, risk and compliance, analyze large datasets, monitor performance, and measure the impact of implemented safeguards. Strong SQL, Python and Looker skills are essential.

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 to achieve shared goals.
• Comfortable making sound decisions in ambiguous or rapidly changing environments; skilled at using data to drive informed choices.

Responsibilities

• Design and lead end-to-end fraud prevention and detection strategies, including procedures, rules, and controls.
• Conduct sophisticated data analysis on large datasets to identify emerging fraud trends, patterns, and risks.
• Monitor fraud prevention system performance and implement data-driven enhancements to reduce false positives.
• Partner with data science, risk operations, product, engineering, and customer support to integrate fraud prevention into products.
• Oversee initiatives aimed at advancing fraud detection systems and optimizing processes.
• Develop and deliver clear reports for leadership, highlighting risk exposure and effectiveness of controls.

Skills

Fraud strategy

SQL

Python

Looker

Cross-functional collaboration

Risk analysis

Tools

Data analysis tools

Job description

About Us

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.

About the Department

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

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.

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.

Preferred Qualifications

• 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.

Benefits

The compensation and benefits package for this role includes:

• 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 discretionary bonus or equity package. When determining a candidate's compensation, we consider a number of factors including skillset, experience, job scope, and current market data.

Work Arrangement

In the United States, we offer a hybrid work approach at our hub offices, balancing the benefits of in-person collaboration with the flexibility of remote work. Expectations may vary by location and role, so candidates are encouraged to connect with their recruiter to learn more about the specific policy for the role. Employees who do not live near one of our hubs are part of our remote workforce.