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Ai Risk Analyst Jobs in Missouri (NOW HIRING)

LRS Consulting is on the hunt for an IT Audit & Risk Analyst to support third party risk management ... This role blends IT auditing, process management, automation, Power Platform tools, and AI to ...

Our Value and Risk Advisory platform is part of a global network comprised of experienced, licensed ... Using AI capabilities, we analyze your application for relevant skills, experiences, and ...

Senior Security AI Engineer

Kansas City, MO · On-site

$111K - $153K/yr

We are seeking a Senior Security AI Engineer to strengthen our cybersecurity posture across cloud ... Conduct risk assessments, gap analyses, and control maturity evaluations. • Support audits ...

Senior Security AI Engineer

Kansas City, MO · Hybrid

$111K - $153K/yr

Conduct risk assessments, gap analyses, and control maturity evaluations. Support audits ... AI threat modeling, model governance, and data protection. Securing MLOps/LLMOps pipelines and ...

Senior Security AI Engineer

Kansas City, MO · Hybrid

$111K - $153K/yr

We are seeking a Senior Security AI Engineer to strengthen our cybersecurity posture across cloud ... Conduct risk assessments, gap analyses, and control maturity evaluations. • Support audits ...

Senior Security AI Engineer

Kansas City, MO · On-site

$111K - $153K/yr

Job Summary : Imperial PFS is seeking a Senior Security AI Engineer to strengthen their ... Conduct risk assessments, gap analyses, and control maturity evaluations. • Support audits ...

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Ai Risk Analyst information

See Missouri salary details

$14

$37

$61

How much do ai risk analyst jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for ai risk analyst in Missouri is $37.98, according to ZipRecruiter salary data. Most workers in this role earn between $27.98 and $46.20 per hour, depending on experience, location, and employer.

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 high-level roles such as AI research directors, chief AI officers, or senior data scientists working in organizations with significant AI investments. These positions often require advanced skills in machine learning, deep learning, and data analysis, along with extensive experience and leadership responsibilities. Compensation at this level reflects the strategic importance and complexity of AI initiatives within the company.

What careers are at risk with AI?

AI poses a risk to jobs involving repetitive tasks and routine processes, such as data entry, basic customer service, and certain manufacturing roles. Roles that rely heavily on manual or predictable tasks are more susceptible to automation, while jobs requiring complex decision-making, creativity, and emotional intelligence are less vulnerable.

How to become an AI risk analyst?

To become an AI risk analyst, candidates typically need a strong background in computer science, data analysis, or related fields, along with knowledge of AI systems and risk management principles. Relevant skills include programming, statistical analysis, and familiarity with AI safety tools, often supported by certifications or advanced degrees. Gaining experience through internships or projects focused on AI ethics and safety is also beneficial.

What does an AI risk analyst do?

An AI risk analyst evaluates potential risks associated with artificial intelligence systems, including ethical, safety, and security concerns. They analyze data, develop risk mitigation strategies, and often use tools like risk assessment frameworks and programming skills to ensure AI deployments are safe and compliant with regulations.

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.

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 Missouri look for? The top searched job categories for Ai Risk Analyst jobs in Missouri are:
What cities in Missouri are hiring for Ai Risk Analyst jobs? Cities in Missouri with the most Ai Risk Analyst job openings:

IT Audit & Risk Analyst

LRS

Kansas City, MO

$35 - $43/hr

Other

Posted 28 days ago


Job description

Job Description LRS Consulting is on the hunt for an IT Audit & Risk Analyst to support third party risk management, ITGC testing, vendor assessments, and audit readiness. This role blends IT auditing, process management, automation, Power Platform tools, and AI to improve audit efficiency. Responsibilities: Perform ITGC testing and support audits across infrastructure, cybersecurity, and IT operations Execute audit procedures, document risks/controls, and track findings Conduct TOD/TOE testing and use AI/Copilot to streamline testing and documentation Support operational reviews (change management, access, business continuity) Assist with walkthroughs, planning, control design, and ERM activities Conduct vendor risk and third-party IT control assessments Coordinate with internal teams and partners to gather evidence and validate remediation Build dashboards (Power BI), workflows/forms (Power Apps), and automate audit processes Support KPIs/KRIs, project coordination, issue follow up, and external audits Required Skills: 2+ years in IT Audit, IT Risk, or InfoSec or related field Understanding of IT controls, ITGCs, and audit methodologies Hands on experience with Power BI, Power Apps, and AI/Copilot automation Strong communication, critical thinking, and stakeholder management abilities Ability to support multiple audits in a fast-paced environment Travel: 15%-25% (1-2 times per quarter) Candidates must have permanent authorization to work in the US Third party candidates will not be considered Sponsorship is not available The base range for this contract position is $35.00 - $43.00 per hour, depending on experience

Our pay ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hires of this position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

Equal Opportunity Employer: LRS is an equal opportunity employer. Applicants for employment will receive consideration without unlawful discrimination based on race, color, religion, creed, national origin, sex, age, disability, marital status, gender identity, domestic partner status, sexual orientation, genetic information, citizenship status, or protected veteran status. In some cases, LRS Consulting uses generative artificial intelligence ("AI") in support of our hiring processes.

LRS takes steps to ensure the use of AI does not result in discrimination based on protected class(es). AI may be used in the hiring process solely in support of the assessment of candidate qualifications. All decisions in the hiring process are made by LRS employees.

If AI will be used in the hiring process for the position for which you are applying, you will be notified and will have the opportunity to opt out. Please contact AI.Questions@lrs.com with any questions.