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Ai Risk Analyst Jobs in Texas (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 ...

Prolim Global

Third-Party Risk Management Analyst

Plano, TX · On-site

$55 - $60/hr

Utilize AI platforms and industry data to optimize assessment of workflows and enable greater focus ... Risk Assessment & Analysis: Ability to identify, assess, and document third‑party cyber risks and ...

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

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 ...

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Ai Risk Analyst information

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$37

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How much do ai risk analyst jobs pay per hour?

As of Aug 10, 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.

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.

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.

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 are popular job titles related to Ai Risk Analyst jobs in Texas? For Ai Risk Analyst jobs in Texas, the most frequently searched job titles are:
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Ai Risk Analyst jobs near you
Infographic showing various Ai Risk Analyst job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 89% Full Time, 8% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $78,454 per year, or $37.7 per hour.

Third-Party Risk Management Analyst

PROLIM Global Corporation

Plano, TX • On-site

Full-time

Posted 27 days ago

Job description

Looking for Third-Party Risk Management Analyst
Location: Plano, TX
Description
Summary:
  • Lead Customer's Third-Party Cyber Risk Management initiatives across the full project lifecycle, including planning, execution, stakeholder coordination, reporting, and ongoing monitoring
  • Perform comprehensive cybersecurity risk assessments of third-party partners, identify security gaps, and deliver clear, actionable assessment reports with minimal supervision
  • Execute standardized inherent risk assessments and validate the accuracy of risk ratings, control evaluations, and remediation plans
  • Track, document, and follow up on third-party risk remediation activities to ensure timely closure and alignment with Customer risk tolerance
  • Leverage Governance, Risk, and Compliance (GRC) platforms and AI-driven automation to streamline assessment workflows, reporting, and evidence collection
  • Partner with cybersecurity, procurement, legal, internal audit, and business stakeholders to support consistent and scalable third-party risk practices
  • Support continuous improvement of TPCRM processes by identifying inefficiencies and recommending process or tooling enhancements
  • Provide cybersecurity risk education to internal teams and third-party partners, promoting secure behaviors and awareness of emerging threats
  • Prepare metrics, dashboards, and summaries to support leadership visibility into third-party cyber risk posture
  • Utilize AI platforms and industry data to optimize assessment of workflows and enable greater focus on mitigating identified risks.

Competencies:
•
  • Cybersecurity Fundamentals: Demonstrates a solid understanding of security controls, threats, and risk concepts
  • Risk Assessment & Analysis: Ability to identify, assess, and document third-party cyber risks and control gaps
  • Project Management: Effectively plans, tracks, and executes work across multiple concurrent initiatives
  • Process Improvement: Identifies opportunities to streamline workflows and improve operational efficiency
  • Stakeholder Collaboration: Works effectively with cross-functional teams and external partners
  • Communication: Clearly communicates technical risk information to both technical and non-technical audiences
  • Attention to Detail: Produces accurate, well-documented assessments and maintains reliable risk records
  • AI-Driven Risk Mitigation: Leverages AI platforms and industry partnerships to accelerate risk identification and maximize time spent on executing risk reduction.
Requirements
  • Bachelor's degree in Cybersecurity, Information Technology, Computer Science, or a related field, or equivalent practical experience
  • 3-5 years of experience in cybersecurity, third-party risk management, IT risk, compliance, or a related discipline
  • Foundational understanding of cybersecurity principles, risk assessment methodologies, and common security control frameworks
  • Experience supporting projects or initiatives that require coordination across multiple stakeholders
Strong written and verbal communication skills, with the ability to clearly document risks and recommendations

Apply