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Fraud Analytics Jobs in Nevada (NOW HIRING)

USAA

SIU Investigator I

Las Vegas, NV · On-site +1

$77K - $147K/yr

This role requires a strong understanding of fraud schemes and investigation strategies to effectively analyze claims, gather evidence, and make informed recommendations. You will play a key part in ...

USAA

SIU Investigator I

Reno, NV · On-site +1

$77K - $147K/yr

This role requires a strong understanding of fraud schemes and investigation strategies to effectively analyze claims, gather evidence, and make informed recommendations. You will play a key part in ...

Phase2 Technology

Nuclear Analyst

North Las Vegas, NV · On-site

$62 - $141/hr

As a nuclear analyst, you're passionate about the safe, efficient, and compliant operation of ... We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI ...

New

Jobtailor

Staff Data Scientist

Carson City, NV · On-site

$180 - $260/hr

Own ambiguous fraud and identity risk problems where data quality, label reliability, adversarial ... analysis, and long-term signal stability. * Influence telemetry collection, data contracts, feature ...

Plumas Bank

Treasury Management Sales Officer

Reno, NV · On-site

Account Analysis * Lockbox Services * Merchant Services * Commercial Debit and Card Solutions * Fraud Mitigation Services Relationship Management * Maintain ongoing contact with existing treasury ...

Plumas Bank

Treasury Management Sales Officer

Reno, NV · On-site

$70.72 - $180.82/hr

Account Analysis * Lockbox Services * Merchant Services * Commercial Debit and Card Solutions * Fraud Mitigation Services Relationship Management * Maintain ongoing contact with existing treasury ...

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All JobsFraud Analytics JobsFraud Analytics Jobs in Nevada

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.

Senior Risk Analyst - Risk Analytics

Credit One Bank

Las Vegas, NV

Full-time

Re-posted 15 hours ago

Job description

Position Summary
Credit One Bank is seeking a Senior Risk Analyst to join the Credit Risk team.  The Risk Customer team is responsible for leveraging data, credit thinking, and analytics to improve the quality of decisions made, drive tangible business impact, and set the strategy in our journey to holistically know our customers.  

As a Senior Risk Analyst, you will be directly responsible for supporting and overseeing the Bank’s customer Retention and Reinstatement programs.  You will apply strategic and analytical skills to major company challenges and objectives.  You will team with world-class professionals to develop and test strategies that ultimately impact the bottom line.  And you'll do it all in a collaborative environment that values your insight, encourages you to take on new responsibility, promotes continuous learning, and rewards innovation.
 
Summary of Essential Job Functions
  • Drive business strategies that will facilitate growth, profitability, and competitive success for Credit One Bank in the face of shifting consumer and regulatory demands
  • Sound decision making and problem solving based on data driven analysis.  Conceptual thinking skills must be complemented by a strong quantitative orientation, given that a large part of the business is based on rigorous analytics & credit risk management
  • Use analytical techniques and models to optimize risk strategies, segment customer populations, perform risk based prediction of customer or operational outcomes and increase program performance and efficiency
  • Apply statistical techniques to deliver accretive strategies across targeting, universe expansion, cutoff analysis, product mix optimization, and score utilization
  • Drive step-change improvements in credit performance by connecting drivers of future consumer credit trends to historical behavior and testing hypotheses using rigorous monitoring and analysis
  • Perform complex analyses to maximize profits and asset returns while minimizing credit losses and other risk exposures
  • Identify business challenges and opportunities for improvement and solve for them using analysis to make strategic or tactical recommendations
  • Execute delivery of business intent, build business requirements and execute against program strategy.  Oversee multiple projects and programs concurrently
  • Draft and maintain formal process documentation (e.g. program strategy and procedures) and flowcharts/diagrams to visualize program workflows
  • Impeccable written and oral communication skills to influence and drive agreement among colleagues
  • Collaborate with colleagues across Credit One Bank including:  IT, Operations, Customer Experience, Finance and others to facilitate improvement in quality, volume, service, and profitability
  • Display an intense focus on achieving both short and long term goals. 
  • Successful track record of thriving in a fast paced, entrepreneurial and dynamic environment
  • Communicate policy changes and test recommendations, program approvals, MIS and performance trends with key stakeholders
 
Position Requirements
  • Bachelor’s degree in a technical field such as mathematics, computer science, finance, economics, statistic or related field
  • 4+ years of strategy development and analytical experience in Credit, Operational Risk, Fraud, or similar strategy environment
  • Advanced capability with at least one of the following: Python, R, SAS, SQL
 
Preferred 
  • Advanced degree or comparable experience in a technical field such as mathematics, computer science, finance, economics, statistic or related field
  • 6+ years of strategy development and analytical experience in Credit, Operational Risk, Fraud, or similar strategy environment
  • Direct experience in Credit, Operational Risk, Fraud, or similar strategy environment
Credit One Bank, N.A. is a data-driven financial services company based in Las Vegas. Founded in 1984, Credit One Bank offers a spectrum of credit card products for people in all stages of financial life. Credit One Bank is an equal opportunity employer committed to diversity and inclusion and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation, or national origin. Reasonable accommodations can be made for those who require them, including access to job applications and workplace accommodations. Employment at Credit One Bank is based on mutual consent (also known as at-will). This means that employees and the Bank may terminate the employment relationship at any time, with or without cause and with or without notice. Please contact the recruiter for this position to learn more. Credit One Bank does not accept unsolicited resumes from agencies and is not responsible for related fees.