Edge / fraud and bot-mitigation experience (WAF, credential-stuffing and ATO countermeasures ... Search/analytics or graph platforms relevant to identity analytics (Elasticsearch/OpenSearch, Neo4j)
Edge / fraud and bot-mitigation experience (WAF, credential-stuffing and ATO countermeasures ... Search/analytics or graph platforms relevant to identity analytics (Elasticsearch/OpenSearch, Neo4j)
Edge / fraud and bot-mitigation experience (WAF, credential-stuffing and ATO countermeasures ... Search/analytics or graph platforms relevant to identity analytics (Elasticsearch/OpenSearch, Neo4j)
Edge / fraud and bot-mitigation experience (WAF, credential-stuffing and ATO countermeasures ... Search/analytics or graph platforms relevant to identity analytics (Elasticsearch/OpenSearch, Neo4j)
Cyber Fraud Analyst information
See Nevada salary details
$45.3K - $55.2K
9% of jobs
$55.2K - $65K
2% of jobs
$65K - $74.9K
6% of jobs
$74.9K - $84.8K
1% of jobs
$88.8K is the 25th percentile. Wages below this are outliers.
$84.8K - $94.6K
17% of jobs
$94.6K - $104.5K
11% of jobs
The median wage is $108.4K / yr.
$104.5K - $114.3K
11% of jobs
$114.3K - $124.2K
17% of jobs
$125.8K is the 75th percentile. Wages above this are outliers.
$124.2K - $134K
10% of jobs
$134K - $143.9K
13% of jobs
$143.9K - $153.8K
4% of jobs
$45.3K
$109.5K
$153.8K
How much do cyber fraud analyst jobs pay per year?
As of Aug 24, 2026, the average yearly pay for cyber fraud analyst in Nevada is $109,490.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,200.00 and $128,800.00 per year, depending on experience, location, and employer.
What does a cyber fraud analyst do?
A Cyber Fraud Analyst is responsible for detecting, investigating, and preventing online fraudulent activities within an organization. They monitor digital transactions and network activity for suspicious behavior, analyze data to identify fraud patterns, and work with cybersecurity teams to implement protective measures. Their goal is to minimize financial losses and protect sensitive information from cybercriminals. Cyber Fraud Analysts also help educate employees about potential threats and may assist in reporting incidents to law enforcement.
What are the key skills and qualifications needed to thrive as a cyber fraud analyst?
To thrive as a Cyber Fraud Analyst, you need strong analytical skills, knowledge of cybersecurity principles, and typically a degree in computer science or a related field. Familiarity with fraud detection platforms, SIEM tools, and relevant certifications such as CFE (Certified Fraud Examiner) or CISSP is common. Attention to detail, critical thinking, and effective communication help analysts identify threats and collaborate with teams. These skills are crucial for detecting, investigating, and preventing cyber fraud, thereby protecting organizational assets and reputation.
How does a cyber fraud analyst typically collaborate with other departments to prevent and investigate online fraud?
Cyber Fraud Analysts work closely with IT security teams, legal departments, and customer service to detect, investigate, and mitigate fraudulent activities. They often coordinate with IT to analyze suspicious digital activity, partner with legal to ensure compliance with regulations, and communicate findings to customer support for rapid response to affected users. This cross-functional collaboration is essential for building robust fraud prevention strategies and ensuring timely resolution of incidents. Regular team meetings and shared reporting tools help streamline this collaborative process.
What is the difference between Cyber Fraud Analyst vs Cyber Security Analyst?
| Aspect | Cyber Fraud Analyst | Cyber Security Analyst |
|---|---|---|
| Primary Focus | Detecting and preventing financial fraud and cyber scams | Protecting systems from cyber threats and vulnerabilities |
| Required Skills | Fraud detection, data analysis, knowledge of financial crimes | Network security, threat mitigation, vulnerability assessment |
| Certifications | Certified Fraud Examiner (CFE), CompTIA Security+ | CompTIA Security+, CISSP |
| Work Environment | Financial institutions, e-commerce, banking | IT departments, cybersecurity firms, corporate IT teams |
While both roles involve cybersecurity, a Cyber Fraud Analyst specializes in identifying and preventing financial crimes and scams, often within financial or e-commerce sectors. A Cyber Security Analyst focuses on overall system security, defending against a broad range of cyber threats across various industries.
How much does a cyber fraud analyst get paid?
A cyber fraud analyst's salary typically ranges from $50,000 to $90,000 annually, depending on experience, location, and certifications. Entry-level positions may start lower, while experienced analysts with specialized skills can earn higher salaries, especially in financial or technology sectors.
What are popular job titles related to Cyber Fraud Analyst jobs in Nevada?
For Cyber Fraud Analyst jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Cyber Fraud Analyst jobs in Nevada look for?
The top searched job categories for Cyber Fraud Analyst jobs in Nevada are:
Cyber Identity - FDE Engineering Manager
Las Vegas, NV
Deloitte •
Finance and Insurance • 10K+ employees10,000+ employees
8.2
Based on 93 frontline employees who took The Breakroom Quiz
46th of 151 rated financial services
Good employer
Recommended by students
Paid breaks
Recommended by parents
Respectful managers
Full-time
Re-posted 3 days ago
Job description
As an Engineering Manager in Deloitte Cyber's Digital Trust & Privacy practice, you will help clients solve complex identity, access, and data protection challenges through AI-enabled engineering solutions. This role sits at the intersection of client engagement and hands-on delivery, combining domain depth with the ability to architect, build, and deploy production-grade solutions. You will lead teams, shape technical solutions during pursuits, develop reusable accelerators, and drive high-quality outcomes for clients and teams alike.
Recruiting for this role ends on 12/31/2026.
Work you'll do
As an Engineering Manager on the Digital Trust & Privacy team, you will be responsible for:
- Translating client business needs and Digital Trust & Privacy requirements into AI-enabled technical solutions aligned to target architecture and delivery objectives
- Leading the hands-on design, integration, deployment, and operation of production-grade solutions, including troubleshooting and resolving technical issues within scope
- Shaping technical solutions during pursuits by leading demonstrations, proofs of concept, prototypes, effort estimation, and pricing inputs
- Managing client delivery by overseeing scope, timelines, quality, customer satisfaction, and continuous improvement across engagements
- Building team and client capability through reusable accelerators, documentation, knowledge transfer, and engineering best practices
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills, meticulous attention to detail and quality of work product, ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Ability to build and sustain professional relationships, lead projects or workstreams and meet deadlines
- Ability to mentor and provide clear guidance to others
The team
Deloitte's Cyber Digital Trust & Privacy practice helps organizations address identity, access, and data protection needs across Identity Governance and Administration, Web and Application Programming Interface Access Management, Privileged Access Management, Public Key Infrastructure, directories, privacy engineering, data access governance, and data discovery. The team is building AI-driven cyber services and engineering capabilities designed to help clients strengthen resilience, simplify complexity, and operate with greater confidence in a changing threat landscape.
Qualifications
Required:
- Bachelor's degree in Computer Science, Engineering, Information Technology, Cybersecurity, or a related field; alternatively, equivalent demonstrated experience
- 7+ experience in one or more Digital Trust & Privacy domains such as Identity Governance and Administration (IGA), Web Access Management (WAM), Privileged Access Management (PAM), Public Key Infrastructure (PKI), Directories, or Data Protection
- 5+ experience translating client requirements into target-state solution architectures using Representational State Transfer application programming interfaces, microservices, event-driven architectures, or serverless components
- 5+ experience building and deploying production-grade solutions using one or more of the following - Python, Java, or Node.js
- 2+ experience delivering solutions on Amazon Web Services, Microsoft Azure, or Google Cloud Platform, including containers, continuous integration and continuous delivery pipelines, and version control tools
- 6 months to a year of experience designing or deploying generative artificial intelligence or large language model solutions in a client or production environment
- Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available.
Preferred:
Front-end / full-stack breadth - JavaScript/TypeScript and a modern UI framework (React / Next.js) for building demo apps and lightweight delivery tooling leveraging agentic coding tools (e.g., Claude Code, Codex, Cursor etc.)
Industry depth in a regulated vertical (financial services, healthcare, public sector) and exposure to associated compliance regimes (SOX, PCI DSS, FFIEC, HIPAA, GDPR).
Edge / fraud and bot-mitigation experience (WAF, credential-stuffing and ATO countermeasures) adjacent to CIAM.
Kubernetes, GitOps, and advanced cloud-native delivery patterns.
Search/analytics or graph platforms relevant to identity analytics (Elasticsearch/OpenSearch, Neo4j).
Familiarity with ML frameworks (PyTorch, TensorFlow) and model evaluation.
Relevant certifications - CISSP, cloud (AWS/Azure/GCP), or platform-specific IAM certifications (SailPoint, Okta, CyberArk, Saviynt
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $155,600 to $306,800.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
#CyberDTP27
As an Engineering Manager in Deloitte Cyber's Digital Trust & Privacy practice, you will help clients solve complex identity, access, and data protection challenges through AI-enabled engineering solutions. This role sits at the intersection of client engagement and hands-on delivery, combining domain depth with the ability to architect, build, and deploy production-grade solutions. You will lead teams, shape technical solutions during pursuits, develop reusable accelerators, and drive high-quality outcomes for clients and teams alike.
Recruiting for this role ends on 12/31/2026.
Work you'll do
As an Engineering Manager on the Digital Trust & Privacy team, you will be responsible for:
- Translating client business needs and Digital Trust & Privacy requirements into AI-enabled technical solutions aligned to target architecture and delivery objectives
- Leading the hands-on design, integration, deployment, and operation of production-grade solutions, including troubleshooting and resolving technical issues within scope
- Shaping technical solutions during pursuits by leading demonstrations, proofs of concept, prototypes, effort estimation, and pricing inputs
- Managing client delivery by overseeing scope, timelines, quality, customer satisfaction, and continuous improvement across engagements
- Building team and client capability through reusable accelerators, documentation, knowledge transfer, and engineering best practices
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills, meticulous attention to detail and quality of work product, ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Ability to build and sustain professional relationships, lead projects or workstreams and meet deadlines
- Ability to mentor and provide clear guidance to others
The team
Deloitte's Cyber Digital Trust & Privacy practice helps organizations address identity, access, and data protection needs across Identity Governance and Administration, Web and Application Programming Interface Access Management, Privileged Access Management, Public Key Infrastructure, directories, privacy engineering, data access governance, and data discovery. The team is building AI-driven cyber services and engineering capabilities designed to help clients strengthen resilience, simplify complexity, and operate with greater confidence in a changing threat landscape.
Qualifications
Required:
- Bachelor's degree in Computer Science, Engineering, Information Technology, Cybersecurity, or a related field; alternatively, equivalent demonstrated experience
- 7+ experience in one or more Digital Trust & Privacy domains such as Identity Governance and Administration (IGA), Web Access Management (WAM), Privileged Access Management (PAM), Public Key Infrastructure (PKI), Directories, or Data Protection
- 5+ experience translating client requirements into target-state solution architectures using Representational State Transfer application programming interfaces, microservices, event-driven architectures, or serverless components
- 5+ experience building and deploying production-grade solutions using one or more of the following - Python, Java, or Node.js
- 2+ experience delivering solutions on Amazon Web Services, Microsoft Azure, or Google Cloud Platform, including containers, continuous integration and continuous delivery pipelines, and version control tools
- 6 months to a year of experience designing or deploying generative artificial intelligence or large language model solutions in a client or production environment
- Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available.
Preferred:
Front-end / full-stack breadth - JavaScript/TypeScript and a modern UI framework (React / Next.js) for building demo apps and lightweight delivery tooling leveraging agentic coding tools (e.g., Claude Code, Codex, Cursor etc.)
Industry depth in a regulated vertical (financial services, healthcare, public sector) and exposure to associated compliance regimes (SOX, PCI DSS, FFIEC, HIPAA, GDPR).
Edge / fraud and bot-mitigation experience (WAF, credential-stuffing and ATO countermeasures) adjacent to CIAM.
Kubernetes, GitOps, and advanced cloud-native delivery patterns.
Search/analytics or graph platforms relevant to identity analytics (Elasticsearch/OpenSearch, Neo4j).
Familiarity with ML frameworks (PyTorch, TensorFlow) and model evaluation.
Relevant certifications - CISSP, cloud (AWS/Azure/GCP), or platform-specific IAM certifications (SailPoint, Okta, CyberArk, Saviynt
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $155,600 to $306,800.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
#CyberDTP27
About Deloitte
Sourced by ZipRecruiter
Industry
Finance and insurance and business management consulting
Company size
10,000+ Employees
Headquarters location
Orlando, FL, US
