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Fraud Data Analyst Jobs (NOW HIRING)

Senior Fraud Data Scientist As a Senior Fraud Data Scientist, you will play a critical role in ... Strong analytical and technical skills are essential, including expert level proficiency in SQL ...

SUMMARY As a Senior Fraud Response Data Analyst, you will transform fraud data into actionable intelligence that strengthens fraud controls, protects customers, and supports strategic decision-making.

You will be Advanced working with large-scale business data sets, fluent in scripting and rapid ... Analyze overall fraud metrics, identify, and report on emerging trends Test/Implement/Modify fraud ...

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You will be Advanced working with large-scale business data sets, fluent in scripting and rapid ... Analyze overall fraud metrics, identify, and report on emerging trends Test/Implement/Modify fraud ...

New

You will be Advanced working with large-scale business data sets, fluent in scripting and rapid ... Analyze overall fraud metrics, identify, and report on emerging trends Test/Implement/Modify fraud ...

New

About the role As the Senior Fraud Strategy Data Analyst, you will play a key role in protecting our organization's integrity by analyzing fraud risk across the platform and supporting the ...

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As the Fraud Prevention Analyst , you will support UMB Fraud Operations to protect UMB and clients ... Experience with FIS, FISERV, IBM and First Data fraud tools. Applicants must have legal authority ...

Proven ability to analyze fraud data, identify trends, and implement effective detection/prevention strategies. Excellent decision-making, prioritization, and project management skills in a fast ...

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Fraud Data Analyst information

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$34K

$82.6K

$136K

How much do fraud data analyst jobs pay per year?

As of Aug 19, 2026, the average yearly pay for fraud data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What does a fraud data analyst do?

A Fraud Data Analyst detects and prevents fraudulent activities by analyzing data patterns, identifying suspicious transactions, and developing fraud detection models. They use statistical techniques, machine learning, and data visualization tools to uncover fraud trends and mitigate risks. Their role involves collaborating with fraud prevention teams, financial analysts, and law enforcement to enhance security measures. Additionally, they create reports and dashboards to monitor fraud metrics and improve fraud detection strategies.

What are the key skills and qualifications needed to thrive as a fraud data analyst, and why are they important?

A Fraud Data Analyst should have a strong background in data analytics, statistics, and experience with financial or transactional data, often holding a degree in mathematics, statistics, computer science, or a related field. Familiarity with tools such as SQL, Python, R, anti-fraud software platforms, and certifications like Certified Fraud Examiner (CFE) are commonly expected. Analytical thinking, attention to detail, and effective communication are vital soft skills for interpreting data and presenting findings to stakeholders. Together, these skills ensure accurate identification and prevention of fraud, helping organizations mitigate risks and maintain trust.

What does a typical day look like for a fraud data analyst?

A typical day for a Fraud Data Analyst involves analyzing large sets of financial or transactional data to detect unusual patterns or trends that might indicate fraudulent activity. You may collaborate closely with investigation teams, compliance officers, and IT professionals to refine detection models and respond quickly to potential threats. Weekly responsibilities also include creating detailed reports, documenting findings, and recommending improvements to internal controls or monitoring processes. This dynamic role often requires balancing independent analytical work with cross-functional teamwork to effectively combat fraud.

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What cities are hiring for Fraud Data Analyst jobs?

Cities with the most Fraud Data Analyst job openings:

Who are the top companies hiring for Fraud Data Analyst jobs?

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What states have the most Fraud Data Analyst jobs?

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Infographic showing various Fraud Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Senior Fraud Data Scientist

Gemini

New York, NY • On-site, Remote

Full-time

Medical, Retirement

Re-posted 8 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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