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Ai Risk Analyst Jobs in Missouri (NOW HIRING)

Jobtailor

Internal Control Manager

Dearborn, MO · On-site

$120 - $180/hr

Experience using generative AI, data analytics, GRC software, Power BI, Alteryx, or SQL for controls testing, risk analysis, audit documentation, anomaly detection, automation, and continuous ...

New

ConcertoCare

Sr Actuarial Analyst

Kansas City, MO · On-site

$90K - $110K/yr

... risk-sharing arrangements through a combination of historic and predictive analytics. Model Building and Development: * AI experience: extra consideration given to candidates who have demonstrated ...

Jobtailor

Director, AI Transformation Architect

Dearborn, MO · On-site

$120 - $180/hr

... analysis, roadmap tradeoffs, launch planning and execution, risk reviews, business case development, and executive communication. * Measure Impact: Define and track outcomes tied directly to business ...

Stifel

AI-Application Security Engineer

Saint Louis, MO · On-site

$57 - $76.25/hr

Support the security review and risk assessment of AI platforms, models, agents, skills, MCPs, and ... Strong analytical and problem-solving skills with the ability to identify and mitigate security ...

Stifel

AI-Application Security Engineer

Saint Louis, MO · On-site

$57 - $76.25/hr

Support the security review and risk assessment of AI platforms, models, agents, skills, MCPs, and ... Strong analytical and problem-solving skills with the ability to identify and mitigate security ...

Subsplash

Sr. GRC Analyst

Kansas City, MO

$95K - $105K/yr

You treat AI as a force multiplier for GRC work--using it to compress audit prep cycles, automate evidence gathering, and free up capacity for higher-value risk analysis. * Collaborative: You work ...

Stifel

AI-Application Security Engineer

Saint Louis, MO · On-site

$57 - $76.25/hr

Support the security review and risk assessment of AI platforms, models, agents, skills, MCPs, and ... Strong analytical and problem-solving skills with the ability to identify and mitigate security ...

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All JobsAi Risk Analyst JobsAi Risk Analyst Jobs in Missouri

Ai Risk Analyst information

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$14

$37

$61

How much do ai risk analyst jobs pay per hour?

As of Aug 18, 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.

What is an AI risk analyst?

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 skills and qualifications are needed to be an AI risk analyst?

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.

How does an AI risk analyst 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 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.

How much do AI risk analysts make?

AI risk analysts typically earn between $70,000 and $130,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in AI safety and risk management can earn higher salaries, often exceeding $150,000. The role often requires knowledge of AI systems, risk assessment, and relevant certifications.

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 understanding of AI safety and ethics, often supported by certifications or advanced degrees. Experience with AI tools and risk assessment frameworks is also valuable.

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 to ensure AI deployment aligns with safety standards and regulations.

Will AI take over AI Risk Analyst jobs?

AI Risk Analysts evaluate and manage risks associated with artificial intelligence systems, a role that requires specialized knowledge of AI technologies, ethics, and safety protocols. While AI tools can assist in data analysis and risk assessment, human expertise remains essential for interpreting complex issues and making strategic decisions, so the job is unlikely to be fully automated in the near term.

What are popular job titles related to Ai Risk Analyst jobs in Missouri?

For Ai Risk Analyst jobs in Missouri, the most frequently searched job titles are:

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:

Ai Risk Analyst jobs near you
Infographic showing various Ai Risk Analyst job openings in Missouri as of August 2026, with employment types broken down into 75% Full Time, 21% Part Time, and 4% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $78,989 per year, or $38 per hour.

Internal Control Manager

Jobtailor

Dearborn, MO • On-site

$120 - $180/hr

Other

Posted 2 days ago

New

Job description

Responsibilities
  • Lead FCSD internal control support, providing guidance, coaching, and oversight across parts, service, customer experience, distribution, and related processes.
  • Partner with FCSD Finance and Operations leaders to identify and monitor financial, operational, compliance, and change-related risks.
  • Analyze control gaps, develop remediation plans, and validate corrective actions.
  • Prepare executive materials, metrics, risk themes, and governance discussion topics.
  • Travel up to 20% to parts depots, dealerships, and other locations to understand business flows and processes.
  • Advise on controls for new initiatives, system launches, process changes, and business model changes.
  • Support control testing, S-Ox walkthroughs, evidence quality reviews, issue evaluation, and required control activities.
  • Coordinate Certification and Representation activities, including off-balance sheet arrangements and internal control matters.
  • Track control issues, audit comments, and high-risk items through closure.
  • Develop and implement an annual FCSD control plan aligned with Ford’s internal control framework and leadership priorities.
  • Collaborate with Finance, Operations, Internal Audit, Corporate Internal Control, Accounting, S-Ox program teams, and external auditors.
  • Monitor emerging risks, process changes, technologies, automation opportunities, and internal control best practices.
  • Provide regular updates on control activities, risk themes, audit matters, testing status, and remediation progress.
Requirements
  • Bachelor’s degree, preferably in Business or Accounting
  • At least 7 years of experience working with internal controls in Internal Audit with a large publicly held corporation or Big 4 auditing
  • Experience applying the COSO Internal Control Framework
  • Strong understanding of accounting principles, GAAP, financial reporting requirements, S-Ox, and operational control expectations
  • Experience using generative AI, data analytics, GRC software, Power BI, Alteryx, or SQL for controls testing, risk analysis, audit documentation, anomaly detection, automation, and continuous monitoring
  • Professional certification in accounting or internal audit, such as CPA, CIA, CISA, or similar certification
  • Automotive aftersales or FCSD business acumen, including parts distribution, dealer network processes, warranty administration, parts supply chain, service, and customer experience platforms
  • Ability to translate audit findings, control testing results, risk themes, and remediation needs into executive-level messages, governance materials, key takeaways, and actionable plans
  • Demonstrated leadership and business partnership skills with senior leaders and FCSD Finance and Operations teams
  • Ability to work independently and collaboratively in a dynamic environment and balance competing priorities
  • Experience supervising and developing professionals
  • Ability to assess control implications of AI adoption and partner with technology teams on responsible AI governance
  • Ability to shift from sample-based testing to continuous or near-real-time monitoring using analytics
  • Strong risk-based thinking and change management capabilities
  • Master’s degree in business (MBA) is listed as an additional qualification, not a requirement
  • Must be legally authorized to work in the United States
  • Visa sponsorship is not available
Core Competencies

Demonstrates expertise in internal controls, risk management, and compliance, with a strong ability to analyze control gaps and develop remediation plans. Proficient in utilizing data analytics and GRC software for continuous monitoring and audit documentation within the automotive aftersales sector.

Highest-signal resume keywords
  • Internal Controls Management
  • COSO Internal Control Framework
  • Data Analytics
  • Professional Certification (CPA, CIA, CISA)
  • Automotive Aftersales Business Acumen
ATS Optimization Keywords Hard Skills
  • Internal Audit
  • Financial Reporting
  • GAAP
  • S-Ox Compliance
  • Risk Analysis
  • Control Testing
  • Anomaly Detection
  • Continuous Monitoring
  • Change Management
  • Executive Communication
Soft Skills
  • Leadership
  • Business Partnership
  • Collaboration
  • Independent Work
  • Dynamic Environment Adaptability
Certifications & Qualifications
  • CPA
  • CIA
  • CISA
Industry Keywords
  • Automotive Aftersales
  • Parts Distribution
  • Dealer Network Processes
  • Warranty Administration
  • Parts Supply Chain
  • Customer Experience Platforms
Tools & Technologies
  • Power BI
  • Alteryx
  • SQL
  • GRC Software
  • Generative AI
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