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Ai Risk Analyst Jobs in Dallas, TX (NOW HIRING)

Intuit

Quality Risk Analyst 2

Frisco, TX · On-site

As a Risk Analyst 2, you will be responsible for analyzing the accurate and timely processing of ... Strategically leverage AI to create efficiencies Qualifications * 3-5 years of experience in ...

Fox Rothschild

Risk Mitigation Analyst

Dallas, TX · On-site

The Analyst reports to the Risk Mitigation Research Manager and works collaboratively with ... Experience using AI-assisted research tools or analytics platforms preferred. Knowledge, Skills ...

Northern Base

Gen AI Assessment Specialist

Irving, TX · On-site

... risk analysis ✔ Expertise in designing, implementing, and validating security guardrails for GenAI platforms and AI use cases ✔ Experience assessing Identity & Access Management (IAM ...

Whitley Penn

AI Governance Senior Analyst

Dallas, TX · Hybrid

$82K - $108K/yr

This role partners with Information Security, Technical Support, Legal, Risk, Compliance, and ... AI Governance Senior Analyst * Classification: Full-time; Exempt * Department: IT * Office Location:

Whitley Penn

AI Governance Senior Analyst

Plano, TX · Hybrid

$82K - $108K/yr

This role partners with Information Security, Technical Support, Legal, Risk, Compliance, and ... AI Governance Senior Analyst * Classification: Full-time; Exempt * Department: IT * Office Location:

Whitley Penn

AI Governance Senior Analyst

Plano, TX · On-site

$82K - $108K/yr

This role partners with Information Security, Technical Support, Legal, Risk, Compliance, and ... AI Governance Senior Analyst * Classification: Full-time; Exempt * Department: IT * Office Location:

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How much do ai risk analyst jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for ai risk analyst in Dallas, TX is $38.04, according to ZipRecruiter salary data. Most workers in this role earn between $27.98 and $46.30 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 Dallas, TX?

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

What job categories do people searching Ai Risk Analyst jobs in Dallas, TX look for?

The top searched job categories for Ai Risk Analyst jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Ai Risk Analyst jobs?

Cities near Dallas, TX with the most Ai Risk Analyst job openings:

Ai Risk Analyst jobs near you
Infographic showing various Ai Risk Analyst job openings in Dallas, TX as of August 2026, with employment types broken down into 78% Full Time, 18% Part Time, and 4% Contract. Highlights an 71% Physical, 4% Hybrid, and 25% Remote job distribution, with an average salary of $79,117 per year, or $38 per hour.

Quality Risk Analyst 2

Intuit

Frisco, TX • On-site

Full-time

Re-posted 17 days ago

Intuit rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

105th of 247 rated software companies

Job description

The Risk Operations team is seeking a highly skilled and engaged individual with a passion for process excellence, drive for continuous improvement, and background in the finance services, audit, or consulting industry. The ideal candidate will be able to engage across multiple business units while managing projects that identify the most important and critical work, supporting our Payments, Payroll, BillPay, Banking, and Capital Lending products. Maintaining relationships while executing as an individual contributor for business stakeholders is key to success in this role. As a Risk Analyst 2, you will be responsible for analyzing the accurate and timely processing of Risk Operations Analyst Quality Assurance work, participating in control/audit evaluations, creating action plans to ensure ongoing monitoring of high risk processes, and owning cross-functional collaboration.
Responsibilities
  • This is an exciting and challenging position that requires an operational mindset and experience working across multiple areas of an organization while delivering outstanding results. It also requires a deep commitment to analyzing data, clearly articulating and presenting information as well as communicating effectively with operations analysts and leaders.
  • Quickly, accurately and effectively communicate quality feedback by leading op mechs and leveraging advanced business knowledge of the fintech industry and our Risk Operations functional areas
  • Contribute to improvements in processes by identifying key needs or gaps, leveraging data to support your findings
  • Deliver for customers by working with cross functional business units and functional teams to drive QA reviews, develop control-finding remediation plans, and ensure regulatory compliance for the Money Risk Operations team
  • Participate in operating mechanisms among stakeholders to prioritize needs, communicate effectively, and establish partnering relationships to drive effective execution.
  • Present your findings, ideas, and projects to a broad array of leaders including those in tactical and strategic roles
  • Champion the customer and employee experience across our end-to-end system
  • Use sound judgment to identify and escalate conflicting priorities or trends as necessary
  • Strategically leverage AI to create efficiencies

Qualifications
  • 3-5 years of experience in Fintech, Banking, Quality Assurance, Audit, Accounting or related area
  • Proficiency writing and running data queries (SQL, Databricks, or similar) to extract, analyze, and report on risk data and trends.
  • Proven ability to proactively identify technology and AI options and drive the decision-making process to agree on a solution that balances customer experience, business objectives and technical realities.
  • Ability to develop, acquire, deploy and maintain business infrastructure systems. Proactively assess and plan for systems to support future growth and develop clear business cases.
  • Data driven with experience using methodologies, metrics, and analysis to assess and improve experiences.
  • Experience driving results through innovation and testing hypotheses through experimentation & continuous improvement.
  • Have an end-to-end mindset and be a systemic thinker who works across boundaries.
  • Communicates equally well with leaders, front-line employees and cross-functional groups.
  • Sufficient understanding of process excellence methodology to drive best practices and process improvements
  • Bachelor's degree or equivalent relevant experience
  • MBA, CPA, or other professional designation preferred

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

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