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Cyber Security Risk Management Jobs in Nevada (NOW HIRING)

Jobtailor

Staff Data Scientist

Carson City, NV · On-site

$180 - $260/hr

Highlighting experience in mentoring teams, managing complex data challenges, and collaborating ... Cybersecurity * Risk Modeling * Anomaly Detection Tools & Technologies * Spark * PySpark * Data ...

Future Form Manufacturing

Cyber Security Manager

Sparks, NV · On-site

$140K - $170K/yr

JOB TITLE: Cyber Security Manager PRIMARY RESPONSIBILITY: Lead the organization's cybersecurity ... Lead the vulnerability management program, including scanning, risk analysis, remediation tracking ...

Deloitte

Manager - ServiceNow

Las Vegas, NV · On-site +1

... cybersecurity. Join our team to deliver powerful solutions to help our clients navigate the ever ... Risk Management workstreams in partnership with architects and product owners * Managing ...

Deloitte

Cyber Data Protection/PKI Manager

Las Vegas, NV

$106K - $143K/yr

Strong understanding of delivery governance, risk management, dependencies, and quality assurance ... Bachelor's degree in Cybersecurity, Information Security, Engineering, Computer Science ...

Virtusa Corporation

Architect

Las Vegas, NV · On-site

$62 - $80.25/hr

8+ years of enterprise information security experience Cybersecurity Architecture Technology Risk Management Cloud Security Cloud Transformation Contact Center Security Identity and Access Management ...

Deloitte

Senior Manager - ServiceNow

Las Vegas, NV

... cybersecurity. Join our team to deliver powerful solutions to help our clients navigate the ever ... Develop and execute strategies for integrated risk management (IRM), governance, risk, and ...

Deloitte

Cyber ServiceNow - Consultant

Las Vegas, NV · Remote

... in cybersecurity. Join our team to deliver powerful solutions that help clients navigate an ... manage cyber, risk, and technology programs. Recruiting for this role ends on 12/31/2026. Work you ...

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Showing results 21-40

All JobsCyber Security Risk Management JobsCyber Security Risk Management Jobs in Nevada

Cyber Security Risk Management information

See Nevada salary details

$58K

$135.4K

$189.4K

How much do cyber security risk management jobs pay per year?

As of Aug 22, 2026, the average yearly pay for cyber security risk management in Nevada is $135,396.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $152,700.00 per year, depending on experience, location, and employer.

What is cyber security risk management?

Cyber security risk management is the process of identifying, assessing, and prioritizing risks to an organization's information systems and data. It involves evaluating potential threats and vulnerabilities, determining the likelihood and impact of these risks, and implementing measures to mitigate or manage them. Effective risk management helps organizations protect sensitive data, ensure regulatory compliance, and minimize the impact of cyber attacks. This process is ongoing and adapts to new threats and changes in technology.

What are the key skills and qualifications needed to thrive in cyber security risk management?

To thrive in Cyber Security Risk Management, you need a solid understanding of risk assessment methodologies, information security frameworks (such as ISO 27001 or NIST), and often a relevant degree or certification like CISSP or CISM. Familiarity with security tools, vulnerability assessment platforms, and risk management software is typically required. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for identifying threats and conveying risk to stakeholders. These skills ensure that organizations can proactively manage and mitigate cyber threats, safeguarding critical assets and maintaining compliance.

What are some typical challenges faced in cyber security risk management, and how can they be addressed?

Professionals in Cyber Security Risk Management often encounter challenges such as staying updated with rapidly evolving threats, balancing security needs with business objectives, and ensuring compliance with various regulations. Addressing these challenges requires continuous learning, effective communication with stakeholders, and the implementation of robust risk assessment frameworks. Collaboration with IT, legal, and business teams is essential to develop practical security policies that protect assets without hindering operations.

What is the difference between Cyber Security Risk Management vs Cyber Security Analyst?

AspectCyber Security Risk ManagementCyber Security Analyst
CertificationsCompTIA Security+, CISSP, CISMCompTIA Security+, CEH, CISSP (preferred)
Work EnvironmentPolicy development, risk assessment, strategic planningMonitoring security systems, incident response, vulnerability analysis
Employer & Industry UsageOrganizations focusing on risk mitigation and complianceOrganizations implementing and maintaining security measures

Cyber Security Risk Management professionals focus on identifying, assessing, and mitigating security risks at an organizational level, often involved in policy and strategy. Cyber Security Analysts primarily monitor security systems, analyze threats, and respond to incidents. While both roles require similar certifications and work within the same industry, their core responsibilities differ: risk managers develop strategies, whereas analysts execute security measures and respond to threats.

What does a cyber security risk management do?

A cyber security risk management professional identifies, assesses, and prioritizes potential security threats to an organization’s information systems. They develop strategies and implement controls to mitigate risks, often using frameworks like NIST or ISO, and may conduct regular audits to ensure security measures are effective.

What are popular job titles related to Cyber Security Risk Management jobs in Nevada?

For Cyber Security Risk Management jobs in Nevada, the most frequently searched job titles are:

What job categories do people searching Cyber Security Risk Management jobs in Nevada look for?

The top searched job categories for Cyber Security Risk Management jobs in Nevada are:

What cities in Nevada are hiring for Cyber Security Risk Management jobs?

Cities in Nevada with the most Cyber Security Risk Management job openings:

Cyber Security Risk Management jobs near you
Infographic showing various Cyber Security Risk Management job openings in Nevada as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $135,396 per year, or $65.1 per hour.

Staff Data Scientist

Jobtailor

Carson City, NV • On-site

$180 - $260/hr

Other

Posted 6 days ago

Job description

  • Lead high-impact machine learning and feature-development initiatives across device, network, browser, mobile, session, and behavioral intelligence.
  • Own ambiguous fraud and identity risk problems where data quality, label reliability, adversarial behavior, customer impact, and product tradeoffs must be evaluated together.
  • Develop production risk signals and models that balance fraud detection, false-positive risk, coverage, latency, explainability, robustness, and operational maintainability.
  • Build and guide scalable feature-engineering approaches for high-cardinality, sparse, noisy, and platform-dependent telemetry.
  • Investigate complex signal patterns such as spoofing, emulator behavior, automation, proxy/VPN usage, low-entropy fingerprints, telemetry gaps, device fragmentation, and over-linkage risk.
  • Define evaluation methods for Digital Intelligence signals, including holdout design, leakage checks, drift monitoring, adversarial robustness, customer impact analysis, and long-term signal stability.
  • Influence telemetry collection, data contracts, feature logging, model monitoring, and production readiness in partnership with engineering, product, risk, and platform teams.
  • Translate open-ended product, customer, and fraud-risk questions into clear data science approaches, measurable hypotheses, and production-ready signal roadmaps.
  • Raise team standards for feature quality, model validation, explainability, documentation, and risk-signal governance.
  • Mentor data scientists by improving problem framing, modeling judgment, validation rigor, code quality, and ability to operate independently in ambiguous domains.
Requirements
  • Master’s or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, Data Science, or a related quantitative field.
  • 12+ years of experience in data science, applied machine learning, statistical modeling, or related technical roles.
  • Significant experience building, deploying, validating, and improving production machine learning models, risk signals, or decisioning systems.
  • Strong background in fraud detection, identity verification, trust and safety, anomaly detection, cybersecurity, risk modeling, or another adversarial data domain.
  • Expert-level SQL skills and extensive experience working with large-scale, complex, noisy datasets.
  • Strong proficiency in Python and distributed data processing frameworks such as Spark, PySpark, or equivalent tools.
  • Deep understanding of supervised learning, unsupervised learning, anomaly detection, feature engineering, model evaluation, production monitoring, and statistical validation.
  • Demonstrated ability to work with imperfect labels, delayed outcomes, telemetry artifacts, instrumentation gaps, and changing fraud patterns.
  • Strong judgment across data quality, modeling approach, feature design, explainability, operational complexity, and business impact.
  • Excellent communication skills, including the ability to explain complex data science decisions and risk tradeoffs to technical and non-technical audiences.
Benefits
  • Opportunity to influence telemetry, product direction, and data science standards while mentoring others.
  • Meaningful ownership over ambiguous, high-impact technical problems, from signal strategy and evaluation design to production rollout and long-term signal quality.
Core Competencies

Candidates should emphasize their expertise in machine learning model development, fraud detection, and data science methodologies. Highlighting experience in mentoring teams, managing complex data challenges, and collaborating across engineering and product teams will be crucial.

Highest-signal resume keywords
  • Machine Learning Model Development
  • Fraud Detection
  • Data Science Methodologies
  • Mentoring Data Scientists
  • Collaboration Across Teams
ATS Optimization Keywords Hard Skills
  • Machine Learning
  • Statistical Modeling
  • SQL
  • Python
  • Feature Engineering
Soft Skills
  • Communication Skills
  • Judgment
  • Problem Framing
  • Mentoring
  • Collaboration
Certifications & Qualifications
  • Master’s Degree
  • Ph.D.
Industry Keywords
  • Fraud Detection
  • Identity Verification
  • Cybersecurity
  • Risk Modeling
  • Anomaly Detection
Tools & Technologies
  • Spark
  • PySpark
  • Data Processing Frameworks
  • Telemetry Systems
  • Model Monitoring Tools
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