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Fraud Data Analyst Jobs (NOW HIRING)

Lexisnexis Risk Solutions

Fraud Data Analyst

Alpharetta, GA · On-site

$104K - $174K/yr

The Fraud Data Analyst works as part of a customer engagement team to support large banking, financial, and e-commerce customers in their deployment of fraud and identity solutions. This is primarily ...

ID.me

Fraud Investigations Analyst

Mclean, VA · On-site

Investigate account takeover (ATO) activity using fraud indicators, behavioral signals, and transaction data * Analyze patterns across multiple accounts to identify coordinated or emerging fraud ...

Amivero

Fraud Data Analytics Lead

Washington, DC

$75K - $130K/yr

Our Fraud Data Analytics Lead will lead a team of fraud analysts and be instrumental in working with the federal government to develop fraud analytic models that identify suspicious activity for ...

ID.me

Fraud Investigations Analyst

Mclean, VA · On-site +1

Investigate account takeover (ATO) activity using fraud indicators, behavioral signals, and transaction data * Analyze patterns across multiple accounts to identify coordinated or emerging fraud ...

ID.me

Fraud Investigations Analyst

Mclean, VA · On-site

Investigate account takeover (ATO) activity using fraud indicators, behavioral signals, and transaction data * Analyze patterns across multiple accounts to identify coordinated or emerging fraud ...

BOK Financial

Data Product Owner - Fraud

Addison, TX · On-site

Bonus Type Discretionary Summary The Fraud Data Product Owner is a newly created role at the center ... Advanced analytical and problem-solving skills; must be able to independently solve complex ...

BOK Financial

Data Product Owner - Fraud

Dallas, TX

Bonus Type Discretionary Summary The Fraud Data Product Owner is a newly created role at the center ... Advanced analytical and problem-solving skills; must be able to independently solve complex ...

BOK Financial

Data Product Owner - Fraud

Tulsa, OK

Bonus Type Discretionary Summary The Fraud Data Product Owner is a newly created role at the center ... Advanced analytical and problem-solving skills; must be able to independently solve complex ...

BOK Financial

Data Product Owner - Fraud

Dallas, TX · On-site

They are seeking a Fraud Data Product Owner to lead the transformation of fraud detection and ... Advanced analytical and problem-solving skills; must be able to independently solve complex ...

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All JobsFraud Data Analyst Jobs

Fraud Data Analyst information

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$34K

$82.6K

$136K

How much do fraud data analyst jobs pay per year?

As of Jul 8, 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 are the key skills and qualifications needed to thrive in the Fraud Data Analyst position, 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 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 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.

More about Fraud Data Analyst jobs
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? The top employers for Fraud Data Analyst jobs are:
What states have the most Fraud Data Analyst jobs? States with the most job openings for Fraud Data Analyst jobs include:
What job categories do people searching Fraud Data Analyst jobs look for? The top searched job categories for Fraud Data Analyst jobs are:
Fraud Data Analyst jobs near you
Infographic showing various Fraud Data Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Fraud Data Analyst

Bright Mind Solutions LLC

Cupertino, CA • On-site

$85 - $90/hr

Contractor

Re-posted 13 days ago

Job description

****Local to Cupertino only***Must be local to Cupertino***
 
 

Citizens only

6 months 

full linkedin

Date of birth

NO FAKE RESUMES 

Job Title: Fraud Data Analyst
Company: Big Four Client
Location: Bay Area (CA)
Work Authorization: U.S. Citizen or Green Card Holder
 
Duration: 7+ Months
 
Must have: Development to design and implement fraud monitoring solutions
and fraud prevention strategies.
◦ Analyze large datasets to identify trends, patterns, and anomalies related to gift
card fraud.
◦ Develop and maintain dashboards and reports that monitors suspicious activities
trends.
◦ Create and track fraud KPIs to measure the effectiveness of fraud prevention
strategies.
◦ Proactively identify emerging gift card fraud schemes and develop strategies to
mitigate them.
◦ Collaborate with other fraud analysts, data scientists, and engineers to develop
fraud prevention tools, systems and products."

Overview

We are seeking an experienced Fraud Data Analyst specializing in gift card fraud to join our team in the Bay Area. In this critical role, you will leverage your advanced PySpark expertise (6–9 years) and strong analytical skills to develop and implement robust fraud monitoring solutions that protect our customer's business. You will work cross-functionally with Fraud, Legal, Operations, Product, and Business Development teams to proactively detect, analyze, and mitigate complex gift card fraud schemes.

Key Responsibilities

  • Collaborate with cross-functional teams including Fraud, Legal, Operations, Product, and Business Development to design and implement scalable fraud monitoring solutions and dynamic fraud prevention strategies.
  • Analyze large-scale transactional and behavioral datasets using advanced PySpark to uncover trends, patterns, and emerging anomalies related to gift card fraud.
  • Develop and maintain insightful dashboards and regular reports to monitor suspicious activity trends and fraudulent behaviors.
  • Create and track fraud-specific Key Performance Indicators (KPIs) to measure and optimize the effectiveness of fraud prevention initiatives.
  • Proactively identify and assess new and emerging gift card fraud schemes, recommending and executing risk mitigation strategies.
  • Partner with other fraud analysts, data scientists, and engineers to build and refine fraud prevention tools, machine learning models, and monitoring systems.
  • Communicate analytical findings and recommendations clearly to both technical and non-technical stakeholders.

Required Qualifications:

  • Advanced-level proficiency in PySpark (6–9 years of hands-on experience), including large-scale data processing and ETL workflows.
  • Demonstrated experience in fraud detection, ideally with a focus on gift card fraud.
 
If you are interested or have any references please share resume at mukul@brightmindsol.com