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Fraud Data Analyst Jobs in California (NOW HIRING)

Fraud Data Analyst

Cupertino, CA ยท On-site

$85 - $90/hr

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 ...

Senior Data Scientist, Fraud

Menlo Park, CA ยท On-site

$187 - $220/hr

About the Role The Fraud Data Science team safeguards Robinhood and its customers by detecting and ... We leverage machine learning and analytics to combat malicious behavior in real time, supporting a ...

Data Analyst "โ—ฆ Collaborate with cross-functional teams such as Fraud, Legal, Operations, Product and Business Development to design and implement fraud monitoring solutions and fraud prevention ...

Data Analyst

San Francisco, CA ยท On-site

$130K - $200K/yr

In this role, you'll work across domains including applications, accounts, transactions, fraud ... As an analyst at Cardless, you'll dive deep into data, identify opportunities, streamline ...

The analyst will produce the requirements, screen mockups, and workflow documentation that the ... Define the fraud record data model -- required vs. optional fields, categories, statuses, severity ...

The analyst will produce the requirements, screen mockups, and workflow documentation that the ... Define the fraud record data model -- required vs. optional fields, categories, statuses, severity ...

Strong experience with Python or R for data analysis, modeling, and automation. * Proficiency in ... Familiarity with real-time data systems, fraud detection models, and decisioning platforms is a ...

Data Analyst

San Diego, CA ยท On-site

$61K - $141K/yr

As data analyst, you love diving into data and turning it into meaningful insights. With the ... We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI ...

Data Analyst

San Diego, CA ยท On-site

$61K - $141K/yr

Data Analyst The Opportunity: As data analyst, you love diving into data and turning it into ... We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI ...

Data Analyst

San Diego, CA ยท On-site

$61K - $141K/yr

Data Analyst The Opportunity: As data analyst, you love diving into data and turning it into ... We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI ...

Data Analyst

San Diego, CA ยท On-site

$61K - $141K/yr

As data analyst, you love diving into data and turning it into meaningful insights. With the ... We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI ...

Data Analyst

San Diego, CA ยท On-site

$61K - $141K/yr

Data Analyst The Opportunity: As data analyst, you love diving into data and turning it into ... We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI ...

Data Analyst

San Diego, CA ยท On-site

$61K - $141K/yr

Data Analyst The Opportunity: As data analyst, you love diving into data and turning it into ... We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI ...

Sr Fraud Analyst

San Jose, CA ยท On-site

$140K - $165K/yr

Analyze large-scale payment and fraud transaction data to identify trends, anomalies, and business opportunities. * Drive insights related to credit/debit card payments, fraud prevention ...

Data Analyst The Opportunity: As data analyst, you love diving into data and turning it into ... We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI ...

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Showing results 1-20

Fraud Data Analyst information

See California salary details

$33.6K

$81.6K

$134.2K

How much do fraud data analyst jobs pay per year?

As of Aug 25, 2026, the average yearly pay for fraud data analyst in California is $81,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 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.

What are popular job titles related to Fraud Data Analyst jobs in California?

For Fraud Data Analyst jobs in California, the most frequently searched job titles are:

What job categories do people searching Fraud Data Analyst jobs in California look for?

The top searched job categories for Fraud Data Analyst jobs in California are:

Infographic showing various Fraud Data Analyst job openings in California as of August 2026, with employment types broken down into 70% Full Time, 5% Temporary, and 25% Contract. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution, with an average salary of $81,558 per year, or $39.2 per hour.

Fraud Data Analyst

Bright Mind Solutions LLC

Cupertino, CA โ€ข On-site

$85 - $90/hr

Contractor

Re-posted yesterday


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