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Card Fraud Analyst Jobs in California (NOW HIRING)

ALOIS LLC

Sr Fraud Analyst

San Jose, CA · On-site

$140K - $165K/yr

Drive insights related to credit/debit card payments, fraud prevention, authorization optimization ... Design deep-dive analyses, experiments, and data-driven strategies to improve payment success rates ...

SpaceXAI

Fraud Analyst

Palo Alto, CA

$100K - $135K/yr

We are seeking a Fraud Analyst to join our BSA/AML team. In this role, you will support the ... S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or ...

New

Cloud think technologies LLC

Data Analyst

San Jose, CA · On-site

... 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 ...

Patelco Credit Union

Fraud Prevention Analyst

Dublin, CA · On-site

The Fraud Prevention Analyst supports this mission through thorough investigations of potentially ... Performs investigation of fraud related disputes reported by members, related both payment card and ...

Patelco Credit Union

Fraud Prevention Analyst

Dublin, CA · On-site

The Fraud Prevention Analyst supports this mission through thorough investigations of potentially ... Performs investigation of fraud related disputes reported by members, related both payment card and ...

Cardless

Head of Fraud Operations

San Francisco, CA · On-site

$170 - $230/hr

At Cardless, we're building a credit card and loyalty platform that consumer businesses use to ... This is a player-coach role: you'll lead a team of fraud analysts and investigators while staying ...

Sunbit

Analytics Manager, Credit Cards

Los Angeles, CA · On-site +1

Must have 4+ years supporting Credit Card portfolios, with deep experience in Credit Risk, Portfolio Management, Fraud Analytics, or Consumer Lending. * 4+ years of working with and proficient in SQL ...

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All JobsCard Fraud Analyst JobsCard Fraud Analyst Jobs in California

Card Fraud Analyst information

See California salary details

$15

$30

$62

How much do card fraud analyst jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for card fraud analyst in California is $30.28, according to ZipRecruiter salary data. Most workers in this role earn between $20.87 and $33.46 per hour, depending on experience, location, and employer.

What does a card fraud analyst do?

A Card Fraud Analyst is responsible for detecting and investigating suspicious or unauthorized credit and debit card transactions. They monitor account activity to identify potential fraud, analyze patterns, and work with banking systems to prevent financial losses. When fraud is suspected, they may contact customers to verify transactions and coordinate with law enforcement or other financial institutions. Their work helps protect both the bank and its customers from fraudulent activities. Strong analytical skills and attention to detail are essential in this role.

How do card fraud analysts typically collaborate with other departments to prevent and address fraudulent activity?

Card Fraud Analysts work closely with teams such as customer service, IT, and risk management to quickly identify and respond to suspicious transactions. Collaboration often involves sharing real-time alerts, investigating flagged accounts, and developing new fraud detection strategies. Analysts may also participate in cross-functional meetings to improve security protocols and provide training on emerging fraud trends. This teamwork ensures a coordinated approach to protecting customers and minimizing financial losses.

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

To thrive as a Card Fraud Analyst, you need strong analytical abilities, attention to detail, and a background in finance, business, or a related field. Familiarity with fraud detection software, data analysis tools like SQL, and relevant certifications such as Certified Fraud Examiner (CFE) are highly valued. Outstanding problem-solving, communication, and decision-making skills set top performers apart in this role. These competencies are crucial for accurately detecting fraudulent activity, minimizing financial losses, and ensuring customer trust in banking services.
What are popular job titles related to Card Fraud Analyst jobs in California? For Card Fraud Analyst jobs in California, the most frequently searched job titles are:
What job categories do people searching Card Fraud Analyst jobs in California look for? The top searched job categories for Card Fraud Analyst jobs in California are:
What cities in California are hiring for Card Fraud Analyst jobs? Cities in California with the most Card Fraud Analyst job openings:
Card Fraud Analyst jobs near you
Infographic showing various Card Fraud Analyst job openings in California as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, 2% Temporary, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $62,987 per year, or $30.3 per hour.

Fraud Data Analyst

Bright Mind Solutions LLC

Cupertino, CA • On-site

$85 - $90/hr

Contractor

Re-posted 16 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