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Fraud Data Analyst Jobs in California (NOW HIRING)

Cloud think technologies LLC

Data Analyst

San Jose, CA · On-site

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

Cardless, Inc

Data Analyst

San Francisco, CA · 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 ...

1 point system

Data Analyst

Sunnyvale, CA · On-site

... fraud detection models, and decisioning platforms is a plus. • Excellent communication skills with the ability to translate complex data into actionable insights.

SpaceXAI

Senior Data Analyst- Fraud & AML

Palo Alto, CA

$148K - $220K/yr

BASIC QUALIFICATIONS: * 7+ years of hands-on data science / advanced analytics experience in financial services, with at least 4 years focused on fraud and financial crime compliance . * Master ...

Hyundai Capital

Fraud Analytics Associate

Irvine, CA · On-site

This role uses established data analytics tools and processes to analyze fraud trends, consumer behavior, underwriting activity, score performance, and potential risk indicators. This role maintains ...

Booz Allen Hamilton, Inc.

Data Analyst

San Diego, CA · On-site +1

$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 ...

Booz Allen Hamilton

Data Analyst

San Diego, CA · 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 ...

Booz Allen Hamilton, Inc.

Data Analyst

San Diego, CA · 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 ...

Booz Allen Hamilton

Data Analyst

San Diego, CA

$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 ...

ALOIS LLC

Sr Fraud Analyst

San Jose, CA · 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 ...

Emendata

Data Analyst

San Francisco, CA · On-site

... data to analyzing the problem to turning the results into something actionable. We know that this ... fraud, waste, and abuse. We are growing our team with people who enjoy figuring out hard problems ...

Emendata

Data Analyst

San Francisco, CA

... data to analyzing the problem to turning the results into something actionable. We know that this ... fraud, waste, and abuse. We are growing our team with people who enjoy figuring out hard problems ...

Plat.AI

Front-Facing Data Analyst

Glendale, CA · On-site

Monitor KPIs such as approval rates, conversion, fraud indicators, and portfolio performance ... analysis on performance shifts 🔹 Modeling & Optimization Support * Work alongside data ...

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All JobsFraud Data Analyst JobsFraud Data Analyst Jobs in California

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 Jul 28, 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 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.

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:
Fraud Data Analyst jobs near you
Infographic showing various Fraud Data Analyst job openings in California as of July 2026, with employment types broken down into 66% Full Time, 8% Part Time, and 26% Contract. Highlights an 61% Physical, 5% Hybrid, and 34% 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 • On-site

$85 - $90/hr

Contractor

Posted 2 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