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Fraud Monitoring Jobs (NOW HIRING)

Bright Mind Solutions LLC

Fraud Data Analyst

Cupertino, CA · On-site

$85 - $90/hr

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. ◦ ...

BCB COMMUNITY BANK

Fraud Manager

Edison, NJ · On-site

$90K - $110K/yr

Designs enterprise-wide fraud strategies to monitor channels, identify trends, and refine detection systems. * Configures detection rules to maximize accuracy and counters emerging cyber-fraud and ...

EmployVision

Zelle Fraud Analyst

Morristown, NJ

* Review and analyze activity flagged by the bank's fraud monitoring systems in a timely matter, to determine if further investigation or action is necessary. * Gather and analyze reports, records, and ...

TBK Bank, SSB

Fraud Specialist

Bettendorf, IA · On-site

Monitor, identify, and investigate suspicious or potentially fraudulent activity across multiple ... Collaborate with Fraud Management, Operations, Payments, Digital Banking, and Customer Service ...

Triumph Financial

Fraud Specialist

Bettendorf, IA · On-site

Monitor, identify, and investigate suspicious or potentially fraudulent activity across multiple ... Collaborate with Fraud Management, Operations, Payments, Digital Banking, and Customer Service ...

Triumph Financial

Fraud Specialist

Bettendorf, IA

Monitor, identify, and investigate suspicious or potentially fraudulent activity across multiple ... Collaborate with Fraud Management, Operations, Payments, Digital Banking, and Customer Service ...

MRISpokane

Payments Fraud Analyst

Riverside, CA

Monitor and investigate suspicious activity involving: * Wire transfers * ACH transactions * Debit card fraud * Check fraud * Zelle and other digital payment platforms * Review and resolve fraud ...

TBK Bank, SSB

Fraud Specialist

Bettendorf, IA

Monitor, identify, and investigate suspicious or potentially fraudulent activity across multiple ... Collaborate with Fraud Management, Operations, Payments, Digital Banking, and Customer Service ...

EVERENCE SERVICES,

Fraud Manager

Lancaster, PA · On-site

This role oversees daily fraud monitoring, leads investigations into suspicious activity, and collaborates cross-functionally with operations, compliance, information security, and law enforcement to ...

Uphold

Fraud Investigations Manager

Clearwater, FL · On-site

Familiarity with fraud monitoring tools, transaction monitoring systems, and case management platforms * Experience supporting regulatory exams or law enforcement requests * Data-driven mindset with ...

Uphold

Fraud Investigations Manager

Clearwater, FL

Familiarity with fraud monitoring tools, transaction monitoring systems, and case management platforms * Experience supporting regulatory exams or law enforcement requests * Data-driven mindset with ...

Uphold

Fraud Investigations Manager

Clearwater, FL · On-site

Familiarity with fraud monitoring tools, transaction monitoring systems, and case management platforms * Experience supporting regulatory exams or law enforcement requests * Data-driven mindset with ...

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How much do fraud monitoring jobs pay per hour?

As of May 31, 2026, the average hourly pay for fraud monitoring in the United States is $30.68, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $33.89 per hour, depending on experience, location, and employer.

What is a Fraud Monitoring job?

A Fraud Monitoring job involves analyzing transactions and activities to detect and prevent fraudulent activities. Professionals in this role use fraud detection tools, monitor account behavior, and investigate suspicious patterns. They collaborate with risk management teams to mitigate potential threats and ensure compliance with security protocols. Strong analytical skills, attention to detail, and knowledge of fraud prevention techniques are essential for this role.

What are the key skills and qualifications needed to thrive in the Fraud Monitoring position, and why are they important?

To thrive in Fraud Monitoring, you need strong analytical skills, attention to detail, and a solid understanding of financial systems, often bolstered by a degree in finance, accounting, or a related field. Familiarity with fraud detection software, data analysis tools (like Excel or SQL), and, at times, certifications such as CFE (Certified Fraud Examiner) are valuable. Effective communication, problem-solving abilities, and a proactive mindset are standout soft skills for this role. These competencies are essential to accurately detect, prevent, and report fraudulent activity, safeguarding organizational assets and reputation.

What are the most common challenges faced in a Fraud Monitoring role, and how can I prepare for them?

One of the most common challenges in Fraud Monitoring is keeping up with the constantly evolving tactics used by fraudsters, which requires ongoing learning and adaptability. You may also face high-volume workloads, especially during peak times or when new scams emerge, making time management and prioritization important. Collaborating closely with investigation teams, IT departments, and customer service is typical, so strong communication skills are helpful. To prepare, stay updated on industry trends, familiarize yourself with current detection tools, and continually refine your analytical skills.
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Fraud Monitoring jobs near you
Infographic showing various Fraud Monitoring job openings in the United States as of May 2026, with employment types broken down into 8% As Needed, 55% Full Time, 12% Part Time, 3% Temporary, and 22% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $63,822 per year, or $30.7 per hour.

Fraud Data Analyst

Bright Mind Solutions LLC

Cupertino, CA • On-site

$85 - $90/hr

Contractor

Posted 5 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