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Senior Fraud Data Scientist Jobs (NOW HIRING)

Senior Fraud Data Scientist 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 ...

... end data science solution design, technical delivery, and measurable business outcome. 4. Engage in stakeholder meetings to identify business objectives and scope solution requirements. 5. ...

... end data science solution design, technical delivery, and measurable business outcome. 4. Engage in stakeholder meetings to identify business objectives and scope solution requirements. 5. ...

Overview The Senior Fraud Strategist is responsible for developing, testing, and optimizing fraud ... Analytics, Data Science & Rule Performance * Independently source, query, and analyze data using ...

New

NY · On-site

About this role: We're looking for a Data Scientist to sit at the heart of how we fight fraud -- building the models, experiments, and detection systems that protect millions of customers and ...

NY · On-site

About this role: We're looking for a Data Scientist to sit at the heart of how we fight fraud -- building the models, experiments, and detection systems that protect millions of customers and ...

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Senior Fraud Data Scientist information

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$41.5K

$142.5K

$201K

How much do senior fraud data scientist jobs pay per year?

As of Sep 12, 2026, the average yearly pay for senior fraud data scientist in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

What does a senior fraud data scientist do?

A Senior Fraud Data Scientist is responsible for detecting and preventing fraudulent activities by analyzing large datasets and developing advanced models. They use statistical techniques, machine learning, and data mining to identify patterns and anomalies that may indicate fraud. Additionally, they collaborate with engineering, product, and compliance teams to implement fraud prevention strategies and improve existing systems. Their expertise helps organizations minimize financial losses, meet regulatory requirements, and protect customers from fraud.

What are the key skills and qualifications needed to thrive as a senior fraud data scientist?

To thrive as a Senior Fraud Data Scientist, you need advanced expertise in statistical analysis, machine learning, and data mining, typically supported by a degree in computer science, statistics, or a related field. Familiarity with programming languages such as Python or R, experience with big data platforms like Spark or Hadoop, and knowledge of fraud detection systems are crucial. Strong problem-solving, critical thinking, and communication skills help you effectively interpret data patterns and explain findings to stakeholders. These capabilities are essential for developing robust fraud prevention models and ensuring business integrity.

How does a senior fraud data scientist typically collaborate with cross-functional teams to enhance fraud detection systems?

A Senior Fraud Data Scientist often works closely with engineering, product, and risk management teams to develop and refine fraud detection models. They communicate complex analytical findings to stakeholders, help prioritize features, and ensure that models are both accurate and scalable. Regular collaboration involves sharing insights from data analysis, advising on data collection strategies, and integrating machine learning solutions into production systems. This cross-functional teamwork is essential to address evolving fraud patterns and maintain robust protection for the organization.

What is the difference between Senior Fraud Data Scientist vs Fraud Data Scientist?

AspectSenior Fraud Data ScientistFraud Data Scientist
Required CredentialsAdvanced degree in Data Science, Statistics, or related field; experience with fraud detection modelsSimilar educational background; entry to mid-level experience in fraud analytics
Work EnvironmentTypically in larger financial or e-commerce companies; involves leadership and mentorship rolesOften in similar industries; focuses on data analysis and model development
Employer & Industry UsageUsed in banking, finance, e-commerce, and insurance sectors for fraud preventionCommonly employed in the same sectors, often as part of fraud or risk teams

The main difference between a Senior Fraud Data Scientist and a Fraud Data Scientist lies in experience level, leadership responsibilities, and scope of work. Senior Fraud Data Scientists usually have more advanced skills, lead projects, and mentor junior staff, whereas Fraud Data Scientists focus on developing and implementing fraud detection models at an operational level.

What are the most commonly searched types of Fraud Data Scientist jobs?

The most popular types of Fraud Data Scientist jobs are:

What states have the most Senior Fraud Data Scientist jobs?

States with the most job openings for Senior Fraud Data Scientist jobs include:

What are popular job titles related to Senior Fraud Data Scientist jobs?

For Senior Fraud Data Scientist jobs, the most frequently searched job titles are:

Infographic showing various Senior Fraud Data Scientist job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.

Senior Fraud Data Scientist

Miami, FL • On-site

Sierra Ventures
Investment Clubs and Venture Capital Companies • 11 - 50 employees

Other

Medical, Retirement

Re-posted 7 days ago


Job description

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

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.
  • 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.

It Pays to Work Here

The compensation & 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 our 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.

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. All employees, however, are required to onboard in‑person at one of our office locations.

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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