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Ai Risk Analyst Jobs (NOW HIRING)

You'll be at the intersection of cybersecurity, emerging AI risk, and operational excellence ... or technical/analytical roles . * Experience operating in fast-paced, high-accountability ...

You'll be at the intersection of cybersecurity, emerging AI risk, and operational excellence ... cybersecurity, or technical/analytical roles . * Experience operating in fastpaced ...

Investment Risk Analyst

Boston, MA ยท On-site

$75K - $90K/yr

Contribute to the development of AI-assisted risk analytics and reporting tools * Explore and prototype machine learning applications for risk factor modeling and anomaly detection * Stay current on ...

We are seeking an experienced AI technology risk manager to support the build and execution of our ... Strong analytical, problem-solving, and judgment skills in complex risk scenarios * Clear ...

Contribute to the development of AI-assisted risk analytics and reporting tools * Explore and prototype machine learning applications for risk factor modeling and anomaly detection * Stay current on ...

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 ...

We are seeking an experienced AI technology risk manager to support the build and execution of our ... Strong analytical, problem-solving, and judgment skills in complex risk scenarios * Clear ...

We are seeking an experienced AI technology risk manager to support the build and execution of our ... Strong analytical, problem-solving, and judgment skills in complex risk scenarios * Clear ...

We are seeking an experienced AI technology risk manager to support the build and execution of our ... Strong analytical, problem-solving, and judgment skills in complex risk scenarios * Clear ...

Tempus AI is a company focused on advancing the healthcare industry through precision medicine. As a Senior Cyber Risk Analyst, you will manage the Cyber Risk Management Program and ensure the ...

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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 the United States is $40.49, according to ZipRecruiter salary data. Most workers in this role earn between $29.81 and $49.28 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.
More about Ai Risk Analyst jobs
What cities are hiring for Ai Risk Analyst jobs? Cities with the most Ai Risk Analyst job openings:
What states have the most Ai Risk Analyst jobs? States with the most job openings for Ai Risk Analyst jobs include:
AI Risk & Evaluation Subject Matter Expert

AI Risk & Evaluation Subject Matter Expert

Elder Research

Arlington, VA โ€ข Hybrid

Other

Posted 8 days ago


Job description

AI Risk & Evaluation Subject Matter Expert


General Information

Requisition # 968

Locations USA-VA-Arlington

Posting Date 05/22/2026

Security Clearance Required - Active Public Trust at time of hire

Remote Type Hybrid (must be located in the Washington DC Area)

Time Type Full time


Description & Requirements

Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented AI Risk & Evaluation Subject Matter Expertto join our team in Arlington, VA. This is a hybrid position with 1-2 days onsite per week.

We are seeking an experienced AI Risk Management & Evaluation Subject Matter Expert to support the development of frameworks, methodologies, and operational guidance that strengthen trustworthy AI adoption and governance. This role will help advance AI risk management practices, AI assurance approaches, standards alignment, and evaluation readiness across complex technical environments.

Responsibilities include but are not limited to:

  • Develop and maintain AI risk management and TEVV frameworks aligned to industry best practices and emerging AI standards.
  • Support AI governance activities, including risk mapping, evaluation planning, and integration of evaluation insights into operational risk management processes.
  • Produce governance briefs, standards alignment analyses, technical guidance, and executive-level reporting materials.
  • Contribute to AI standards and technical governance initiatives, including review and development of materials for standards organizations and industry working groups.
  • Collaborate with cross-functional technical and leadership teams to support trustworthy AI implementation and adoption strategies.
  • Deliver status reporting, strategic recommendations, and continuous framework enhancements based on evolving AI risks and evaluation needs

Minimum Qualifications:

  • Minimum of 8 years of experience supporting AI evaluation, assurance, measurement science, or TEVV-related activities.
  • At least 5 years of hands-on experience implementing AI risk management, AI governance, or AI assurance programs.
  • Strong understanding of AI lifecycle risk management, evaluation methodologies, and AI governance frameworks.
  • Experience developing technical frameworks, operational guidance, and executive briefings related to AI risk and evaluation.
  • Familiarity with AI standards development organizations and emerging trustworthy AI practices preferred.
  • Excellent communication, analytical, and stakeholder engagement skills.

Preferred Qualifications:

  • Knowledge of AI risk management frameworks, evaluation readiness methodologies, and standards alignment activities.
  • Experience supporting cybersecurity, critical infrastructure, manufacturing, or other high-priority AI application domains.
  • Ability to translate complex AI governance and technical concepts into actionable operational guidance.

Clearance Requirements:

  • Must have an Active Public Trust at time of hire

About Elder Research, Inc - People Centered. Data Driven

Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.

If you need a reasonable accommodation to apply for a position with Elder Research, please email us at careers@elderresearch.com and provide your name and contact information.