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Fraud Analytics Jobs in Nevada (NOW HIRING)

Paysign Inc

Fraud Analyst 1

Henderson, NV · On-site

$20/hr

As part of Paysign's Fraud and Disputes department, the Fraud Analyst is responsible for minimizing fraud exposure to our business through analysis of internal and/or external alerts and reports ...

Sunbit

Fraud Operations Specialist

Las Vegas, NV · On-site

Fraud Operations Specialist LOCATION: Las Vegas, Nevada (on-site) The Company: Sunbit builds ... Analyzing and interpreting various reports to support decision-making * Collaborating with multiple ...

Sunbit

Fraud Operations Specialist

Las Vegas, NV · On-site

Fraud Operations Specialist LOCATION: Las Vegas, Nevada (on-site) WORK SCHEDULE: TBD The Company ... Analyzing and interpreting various reports to support decision-making * Collaborating with multiple ...

Sunbit

Fraud Operations Specialist

Las Vegas, NV · On-site

Fraud Operations Specialist LOCATION: Las Vegas, Nevada (on-site) WORK SCHEDULE: TBD The Company ... Analyzing and interpreting various reports to support decision-making * Collaborating with multiple ...

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Fraud Analytics information

See Nevada salary details

$15

$31

$64

How much do fraud analytics jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for fraud analytics in Nevada is $31.25, according to ZipRecruiter salary data. Most workers in this role earn between $21.54 and $34.52 per hour, depending on experience, location, and employer.

What is fraud analytics?

Fraud analytics is the process of using data analysis, statistical methods, and machine learning techniques to detect, prevent, and investigate fraudulent activities within an organization. Professionals in this field analyze large sets of transactional and behavioral data to identify patterns and anomalies that may indicate fraud. Fraud analytics is commonly used in industries such as banking, insurance, retail, and e-commerce to minimize financial losses and protect customers. The role often involves working with specialized software and collaborating with other teams to implement effective anti-fraud strategies.

How does a fraud analytics professional typically collaborate with other departments within an organization?

Fraud Analytics professionals frequently work cross-functionally, partnering with teams such as IT, compliance, risk management, and customer service. They analyze data to identify suspicious activities and then communicate findings to relevant stakeholders, often participating in investigations or recommending process improvements. Effective collaboration ensures that fraud detection strategies stay up-to-date and align with broader organizational goals, making strong communication skills and teamwork essential for success in this role.

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

To thrive in Fraud Analytics, you need strong analytical abilities, proficiency in statistics, and experience with data analysis, often supported by a degree in mathematics, statistics, computer science, or a related field. Familiarity with data mining tools, SQL, Python, machine learning platforms, and certifications like Certified Fraud Examiner (CFE) are typically required. Attention to detail, critical thinking, and effective communication are essential soft skills for interpreting data patterns and presenting findings to stakeholders. These skills are crucial for detecting fraudulent activities, minimizing financial risks, and supporting organizational integrity.

What is the difference between Fraud Analytics vs Fraud Prevention Specialist?

AspectFraud AnalyticsFraud Prevention Specialist
Primary FocusAnalyzing data to detect and predict fraudulent activitiesImplementing strategies and actions to prevent fraud
Skills & CertificationsData analysis, statistical tools, SQL, certifications like Certified Fraud Examiner (CFE)Customer service, risk management, fraud detection techniques, certifications like CFE
Work EnvironmentData analysis teams, financial institutions, tech companiesCustomer support centers, financial institutions, retail
GoalsIdentify patterns, develop models, improve detection accuracyReduce fraud incidents, enhance prevention measures

While both roles aim to combat fraud, Fraud Analytics focuses on analyzing data to identify and predict fraudulent activities, whereas Fraud Prevention Specialists implement measures to prevent fraud from occurring. Both roles often collaborate but serve different functions within fraud management strategies.

How do I become a fraud analyst?

To become a fraud analyst, typically a bachelor's degree in finance, accounting, or a related field is required. Relevant skills include data analysis, knowledge of fraud detection tools, and familiarity with databases and reporting software; certifications like Certified Fraud Examiner (CFE) can enhance prospects. Gaining experience through internships or entry-level roles in finance or security is also beneficial.

How much does a fraud analyst get paid?

A fraud analyst's salary typically ranges from $50,000 to $80,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced analysts with certifications or specialized skills can earn higher salaries. Many roles also include benefits such as bonuses and professional development opportunities.

Is fraud analysis a good career?

Fraud analysis is a growing field within risk management that involves detecting and preventing fraudulent activities using data analysis and investigative skills. It offers opportunities for advancement, requires knowledge of analytics tools, and often involves working in financial or e-commerce environments. The role can be stable and rewarding for those interested in security and data-driven decision making.

What does a fraud analytics do?

A fraud analyst uses data analysis techniques to detect and prevent fraudulent activities within financial transactions or business operations. They analyze large datasets, identify patterns of suspicious behavior, and implement strategies to reduce fraud risk, often using tools like SQL, Excel, or specialized fraud detection software. Strong analytical skills and knowledge of fraud schemes are essential for this role.

What are popular job titles related to Fraud Analytics jobs in Nevada?

For Fraud Analytics jobs in Nevada, the most frequently searched job titles are:

What job categories do people searching Fraud Analytics jobs in Nevada look for?

The top searched job categories for Fraud Analytics jobs in Nevada are:

Fraud Analytics jobs near you
Infographic showing various Fraud Analytics job openings in Nevada as of August 2026, with employment types broken down into 1% Internship, 90% Full Time, 6% Part Time, and 3% Contract. Highlights an 81% Physical, 6% Hybrid, and 13% Remote job distribution, with an average salary of $64,991 per year, or $31.2 per hour.

Fraud Analyst 1

Paysign Inc

Henderson, NV • On-site

$20/hr

Full-time

Posted 10 days ago

Job description

Description:

As part of Paysign’s Fraud and Disputes department, the Fraud Analyst is responsible for minimizing fraud exposure to our business through analysis of internal and/or external alerts and reports, patterns and trends in fraudulent behavior. Additionally, they may be involved in assisting management in developing and implementing fraud rules and staying updated on emerging fraud trends.

Requirements:

Essential Functions/Expectations

  • Review suspicious transaction activities through scheduled ad-hoc reporting to decision account status
  • Monitor system alerts across card networks (Visa, Mastercard, PULSE, Fiserv, and Starstation) and respond to situations as necessary
  • Identify fraud patterns through transaction analysis
  • Conduct analysis of transaction trends and evaluate emerging fraud trends to support account decisioning
  • Suggest fraud rule updates based on observed trends, and may, on occasion, assist in writing or refining fraud rules
  • Make outbound calls to Cardholders to verify suspicious activity
  • Collaborate with Investigator and Disputes team members (Openers, Closers, and Chargeback Specialists) on reports of suspicious activity

Required Skills/Abilities

  • Regular attendance and schedule flexibility.
  • Strong attention to detail.
  • Excellent written and oral skills.
  • Proficiency in Microsoft Office Suites.
  • Strong Interpersonal/Communication skills.
  • Basic familiarity with card network rules and dispute regulations preferred.
  • Experience with Salesforce or similar case management systems preferred.

Education and Experience:

  • At least 2 years of relevant experience in a customer service or similar role, preferably within card services, financial services, or a fraud/dispute environment.
  • High School Diploma or GED required.

Working Conditions:

  • Work is generally performed within an indoor office environment utilizing standard office equipment.
  • General office environment requiring: frequent sitting; dexterity of hands and fingers to operate a computer keyboard and mouse; walking and standing for long periods of time; and lifting of less than 20 pounds.