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Ai Risk Analyst Jobs in Texas (NOW HIRING)

The Cybersecurity Risk Analyst supports the organization's cyber risk management program by ... Work is guided by the NIST CSF 2.0, with expected familiarity with FAIR and professional AI tools ...

Reporting to the Manager, Counterparty Risk, this role is responsible for assessing, monitoring ... Proficiency with AI tools and Power BI, or similar analytical and visualization applications

Reporting to the Manager, Counterparty Risk, this role is responsible for assessing, monitoring ... Proficiency with AI tools and Power BI, or similar analytical and visualization applications

Lead AI Risk Advisor

Frisco, TX · On-site +1

$138K - $272K/yr

Author executive summaries and committee-ready narratives translating technical analyses into ... AAIR Certification, ISACA Advanced in AI Risk. * AAISM Certification, ISACA AI Security Management.

The Senior Risk Analyst will also be responsible for researching, resolving, and analyzing ... leveraging AI to catch bad actors & improve manual tasks Education and Experience: Experience:

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Ai Risk Analyst information

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How much do ai risk analyst jobs pay per hour?

As of Jun 29, 2026, the average hourly pay for ai risk analyst in Texas is $37.72, according to ZipRecruiter salary data. Most workers in this role earn between $27.79 and $45.91 per hour, depending on experience, location, and employer.

Is AI going to replace risk analysts?

AI risk analysts use data analysis and machine learning tools to identify and assess potential risks. While AI can automate routine tasks and enhance decision-making, risk analysts are needed to interpret complex data, apply judgment, and develop strategies, making complete replacement unlikely in the near term.

How does an AI Risk Analyst typically collaborate with cross-functional teams to assess and mitigate risks?

AI Risk Analysts work closely with data scientists, engineers, compliance officers, and business leaders to identify, evaluate, and mitigate risks associated with AI systems. They facilitate risk assessment workshops, gather input from technical and non-technical stakeholders, and ensure that risk controls are integrated into AI development processes. Effective communication and documentation are crucial, as analysts must translate complex technical risks into actionable recommendations for diverse teams. This collaborative approach helps ensure that AI solutions are both innovative and aligned with regulatory and ethical standards.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as an AI Risk Analyst or senior AI specialist, often requiring advanced skills in machine learning, data analysis, and risk assessment. These roles may involve overseeing AI safety protocols, developing ethical guidelines, and managing complex AI systems, with compensation reflecting expertise and responsibility levels.

What does an AI risk analyst do?

An AI risk analyst evaluates potential risks associated with artificial intelligence systems, including safety, ethical concerns, and unintended consequences. They analyze data, develop risk mitigation strategies, and often use tools like risk assessment frameworks and programming skills to ensure AI deployment aligns with safety standards.

What is the difference between Ai Risk Analyst vs Data Scientist?

AspectAi Risk AnalystData Scientist
Required CredentialsBachelor's in Risk Management, Data Science, or related fields; certifications in AI or risk analysisBachelor's or Master's in Data Science, Statistics, or Computer Science; certifications in data analysis or machine learning
Work EnvironmentFinancial institutions, insurance companies, or tech firms focusing on risk assessmentTech companies, research labs, or any industry leveraging data for insights
Employer & Industry UsagePrimarily in finance, insurance, and risk-focused sectorsAcross various industries including tech, healthcare, finance, and marketing

The main difference is that an Ai Risk Analyst specializes in assessing and managing risks related to AI systems, often within financial or risk-focused industries. In contrast, a Data Scientist analyzes large datasets to extract insights across diverse sectors. While both roles require strong analytical skills and knowledge of AI and data tools, the Ai Risk Analyst focuses more on risk mitigation specific to AI applications.

Which 3 jobs will survive AI?

For an AI Risk Analyst, jobs that require complex judgment, emotional intelligence, and creative problem-solving are more likely to survive AI automation. These include roles such as healthcare professionals, mental health counselors, and specialized technical experts. Continuous learning and skills in ethics, policy, and AI oversight will also be valuable in adapting to technological changes.

What are the key skills and qualifications needed to thrive as an AI Risk Analyst, and why are they important?

To thrive as an AI Risk Analyst, you need a strong foundation in data analysis, risk assessment, and an understanding of AI/ML technologies, typically supported by a degree in computer science, statistics, or a related field. Familiarity with risk management frameworks, AI auditing tools, and certifications such as CRISC or AI ethics credentials is often required. Excellent problem-solving, critical thinking, and communication skills help in identifying risks and conveying complex findings to stakeholders. These skills are crucial to ensure responsible AI deployment, mitigate potential risks, and maintain regulatory compliance.

What are AI Risk Analysts?

AI Risk Analysts are professionals who assess, monitor, and manage the risks associated with the development and deployment of artificial intelligence systems. Their work involves identifying potential threats such as bias, security vulnerabilities, ethical concerns, and compliance issues that could arise from using AI technologies. They collaborate with data scientists, engineers, and compliance teams to develop risk mitigation strategies and ensure that AI systems operate safely, ethically, and in accordance with relevant regulations.
What job categories do people searching Ai Risk Analyst jobs in Texas look for? The top searched job categories for Ai Risk Analyst jobs in Texas are:
What cities in Texas are hiring for Ai Risk Analyst jobs? Cities in Texas with the most Ai Risk Analyst job openings:
Cybersecurity Risk Analyst

Cybersecurity Risk Analyst

NRG Energy

Houston, TX • Hybrid

Other

Posted 6 hours ago


Key responsibilities

  • Conduct cybersecurity risk assessments for systems, applications, infrastructure, technologies, projects, and business initiatives.

  • Partner with stakeholders across Technology, Cybersecurity, Business, and Enterprise Risk to gather information and support effective cyber risk assessments.

  • Collect, organize, analyze, and report cybersecurity risk metrics, trends, and themes to support leadership reporting and program oversight.


Job description

As an NRG employee, we encourage you to take charge of your career and development journey. We invite you to explore exciting opportunities across our businesses. You'll find that our dynamic work environment provides variety and challenge. Your growth is key to our ongoing success-take the lead in shaping your career development, goals and future!


 

JOB SUMMARY:

The Cybersecurity Risk Analyst supports the organization's cyber risk management program by identifying, assessing, documenting, and communicating cyber risk across systems, applications, technologies, and business initiatives. This role partners with Technology, Business, Enterprise Risk and other stakeholders to enable risk-informed decisions and practical risk treatment outcomes.

The role is focused on internal cybersecurity risk assessments evaluating threats, vulnerabilities, control gaps, and business impact while helping stakeholders align on risk acceptance decisions consistent with organizational risk tolerance. Work is guided by the NIST CSF 2.0, with expected familiarity with FAIR and professional AI tools, as well as awareness of emerging technology risks and evolving cyber threats. This role is distinct from team responsibilities centered on third-party risk, vendor contracts, security surveys, or regulatory compliance.

Essential Duties and Responsibilities:

Cybersecurity Risk Assessment
  • Conduct cybersecurity risk assessments for systems, applications, infrastructure, technologies, projects, and business initiatives.
  • Identify, assess, analyze, and document cybersecurity threats, vulnerabilities, control gaps, exploitability considerations, and potential business impacts.
  • Evaluate inherent and residual cyber risk and develop clear, supportable risk statements, ratings, and recommendations.
  • Apply established cybersecurity risk assessment methodologies, frameworks, and reference materials, including FAIR and other relevant cyber risk analysis approaches.
  • Support practical and well-informed cyber risk treatment recommendations, including mitigation, remediation, transfer, avoidance, and acceptance.
  • Assist in identifying and documenting reasonable cyber risk acceptance positions aligned with business objectives, governance expectations, and organizational risk tolerance.
Stakeholder Engagement and Risk Facilitation
  • Partner with stakeholders across Technology, Cybersecurity, Business, and Enterprise Risk to gather information and support effective cyber risk assessments.
  • Facilitate meetings, workshops, and working sessions to bring the right stakeholders together for risk identification, analysis, treatment, and acceptance discussions.
  • Build alignment across teams and help translate technical cybersecurity issues into clear business risk implications and decision points.
  • Coordinate with team members responsible for adjacent activities, including third-party risk management, compliance support, contract review, security surveys, and regulatory matters, while maintaining primary focus on internal cyber risk assessment and analysis.
Vulnerability and Threat-Informed Risk Analysis
  • Work closely with vulnerability management and other cybersecurity teams to understand vulnerability exposure, remediation priorities, compensating controls, and the impact of technical findings on cyber risk.
  • Analyze vulnerability data, remediation status, exploitability, and exposure trends to inform cyber risk assessments and recommendations.
  • Maintain awareness of emerging cyber threats, attack techniques, threat actor activity, and technology developments that may affect the organization's risk posture.
 Metrics, Reporting, and Program Support
  • Collect, organize, analyze, and report cybersecurity risk metrics, trends, and themes to support leadership reporting and program oversight.
  • Prepare clear and concise risk assessment documentation, reports, summaries, and presentations for technical and non-technical stakeholders.
  • Support the continuous improvement of cybersecurity risk assessment processes, templates, standards, and reporting practices.
  • Use approved AI-enabled tools responsibly to support cyber risk research, analysis, documentation, and operational efficiency in accordance with company requirements.
  • Incorporate considerations related to artificial intelligence, generative AI, and other emerging technology risks into cybersecurity risk assessments, as applicable.

 

Working Conditions:

  • Hybrid.
  • Travel minimally.

Minimum Requirements:

  • A bachelor's degree in Cybersecurity, Information Technology, Information Systems, Risk Management, Business, or a related field is preferred but not required.
  • A minimum of five years of experience in cybersecurity, information security, cyber risk, technology risk, vulnerability management, IT audit, or a related discipline is essential.
  • Demonstrated experience performing cybersecurity or technology risk assessments is required.
  • Familiarity with the NIST Cybersecurity Framework (CSF) 2.0 is required.
  • Familiarity with FAIR and other recognized cybersecurity risk assessment methodologies, models, or reference resources are required.
  • Experience with vulnerability management concepts, processes, and reporting, including the ability to interpret vulnerability data in a risk context, is required.
  • Proficiency in Microsoft Office products, including Word, Excel, PowerPoint, and SharePoint, is expected.
  • Ability to effectively apply approved AI technologies such as CoPilot in a professional environment is expected.

Additional Knowledge, Skills and Abilities:

Technical & Domain Expertise:
  • Strong understanding of cybersecurity risk principles, threats, vulnerabilities, control environments, and risk treatment concepts.
  • Working knowledge of cybersecurity frameworks and references, including NIST CSF 2.0, and familiarity with related standards such as NIST 800-53, CIS Controls, ISO 27001, or COBIT.
  • Familiarity with cyber risk analysis methods such as FAIR; familiarity with quantitative risk analysis concepts, including Monte Carlo simulation, is preferred but not required.
  • Knowledge of vulnerability management practices and the ability to connect technical findings to broader business and cyber risk considerations.
  • Awareness of artificial intelligence, generative AI, and emerging technology risks, and the ability to incorporate those considerations into cyber risk assessments.
  • Experience in energy, utilities, critical infrastructure, or other highly regulated industries is preferred.
  • Knowledge of operational technology, industrial control systems, or energy generation and retail environments is preferred.
Skills & Competencies:
  • Strong analytical, critical thinking, and problem-solving capabilities.
  • Effective stakeholder engagement and facilitation skills, with the ability to bring teams together and drive productive risk discussions.
  • Ability to gather, interpret, and present risk metrics and related data in a meaningful and actionable manner.
  • Strong written and verbal communication skills, including the ability to prepare professional documentation and communicate effectively with both technical and non-technical audiences.
  • Ability to translate complex cybersecurity issues into clear, concise, and business-relevant risk information.
  • Strong organizational skills and the ability to manage multiple priorities while delivering high-quality work within established deadlines.
  • Demonstrated ability to work collaboratively across Cybersecurity, Technology, Business, and Enterprise Risk teams.

 

Physical Requirements:

  • From time to it may be required to move light computer equipment such as laptops.

NRG Energy is committed to a drug and alcohol-free workplace. To the extent permitted by law and any applicable collective bargaining agreement, employees are subject to periodic random drug testing, and post-accident and reasonable suspicion drug and alcohol testing. EOE AA M/F/Vet/Disability. Level, Title and/or Salary may be adjusted based on the applicant's experience or skills.

Official description on file with Talent.


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About NRG

Sourced by ZipRecruiter

At NRG, we're bringing the power of energy to people and organizations by putting customers at the center of everything we do. We generate electricity and provide energy solutions and natural gas to millions of customers through our diverse portfolio of retail brands. A Fortune 500 company, operating in the United States and Canada, NRG delivers innovative solutions while advocating for competitive energy markets and customer choice, working towards a sustainable energy future. More information is available at www.nrg.com. Connect with NRG on Facebook, LinkedIn and follow us on Twitter @nrgenergy.

Industry

Oil and coal products manufacturing

Company size

5,001 - 10,000 Employees

Headquarters location

Houston, TX, US