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Card Fraud 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, chargebacks, and customer experience. * Build dashboards, reporting solutions, and visualizations ...

Cloud think technologies LLC

Data Analyst

San Jose, CA · On-site

... 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 ...

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 ...

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Card Fraud information

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 skills, attention to detail, and a background in finance, criminology, or a related field. Familiarity with fraud detection software, data analysis tools, and knowledge of payment processing systems are typically required, along with certifications like CFE (Certified Fraud Examiner) being advantageous. Excellent problem-solving abilities, effective communication, and a high level of integrity help professionals stand out in this role. These skills are crucial for accurately identifying fraudulent activity, minimizing financial losses, and maintaining customer trust.

What does a card fraud analyst do?

A Card Fraud Analyst is responsible for monitoring and detecting suspicious activity on credit and debit card accounts to prevent unauthorized transactions and financial losses. They analyze transaction data, investigate alerts, and work closely with banks or financial institutions to identify patterns of fraud. Their work involves using specialized software, conducting risk assessments, and sometimes contacting customers to verify questionable transactions. By staying up to date with the latest fraud schemes and trends, Card Fraud Analysts help protect both customers and organizations from financial crime.

What are common challenges faced in a card fraud analyst role, and how are they typically addressed?

Card Fraud Analysts often face the challenge of detecting increasingly sophisticated fraudulent activities, which requires staying up-to-date with evolving scam tactics and technologies. Analysts must balance preventing fraud with minimizing disruptions to legitimate customers, making accuracy and quick decision-making crucial. Collaboration with IT, customer service, and compliance teams is common to ensure effective fraud prevention and timely resolution of incidents. Regular training and the use of advanced detection tools help analysts stay effective in their role.
What are popular job titles related to Card Fraud jobs in California? For Card Fraud jobs in California, the most frequently searched job titles are:
What job categories do people searching Card Fraud jobs in California look for? The top searched job categories for Card Fraud jobs in California are:
What cities in California are hiring for Card Fraud jobs? Cities in California with the most Card Fraud job openings:
Card Fraud jobs near you
Infographic showing various Card Fraud 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.

Fraud Data Analyst

Bright Mind Solutions LLC

Cupertino, CA • On-site

$85 - $90/hr

Contractor

Re-posted 17 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