1

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

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 ...

New

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

New

Risk Credit Policy Analyst II is responsible for analyzing credit risk exposure related to consumer ... Ability to use AI tools (e.g., Microsoft Copilot) to support daily work * Skills in evaluating AI ...

Ability to use AI tools (e.g., Microsoft Copilot) to support daily work * Skills in evaluating AI ... Risk Credit Policy Analyst II is responsible for analyzing credit risk exposure related to consumer ...

Showing results 21-40

Ai Risk Analyst information

See Dallas, TX salary details

$15

$40

$65

How much do ai risk analyst jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for ai risk analyst in Dallas, TX is $40.05, according to ZipRecruiter salary data. Most workers in this role earn between $29.47 and $48.75 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 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:
Infographic showing various Ai Risk Analyst job openings in Dallas, TX as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $83,303 per year, or $40 per hour.

Senior Technology Risk Management - AI

Charles Schwab

Southlake, TX

Full-time

Medical, Dental, Vision, Retirement

Posted 15 days ago


Job description

Your opportunity

At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us challenge the status quo and transform the finance industry together. We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s).

Technology Risk Management (TRM), part of Corporate Risk Management (CRM), partners with technology and business teams to identify, assess, and manage risks associated with emerging technologies and critical business processes. This work helps ensure alignment with the firm's risk appetite while protecting client assets, client information, and Schwab’s operational environment.

As a Senior Manager, Technology Risk Management, you will play a critical role in protecting Schwab’s technology ecosystem by partnering with Corporate Risk Management, technology, security, and business teams to identify, assess, monitor, and mitigate technology risk. As a senior individual contributor within Technology Risk Management, you will provide independent oversight of Artificial Intelligence (AI) technologies, helping ensure technology initiatives align with the firm's risk appetite, regulatory requirements, and operational resilience objectives. 

In this Technology Architecture Governance Risk (TAGR) role, you will influence enterprise-wide AI governance outcomes by evaluating the effectiveness of AI Solutions and emerging technologies, assessing compliance with technology policies, standards, and controls, and driving improvements that strengthen risk management practices. You will leverage analytical thinking, sound judgment, and risk expertise to conduct risk assessments, develop meaningful metrics and reporting, and provide insights that support executive decision-making. Success requires the ability to navigate complex environments, analyze emerging risks, balance competing priorities, and build trusted partnerships across technology, risk, audit, security, and business functions.

You will collaborate with technology, security, compliance, audit, and business teams to evaluate AI-related controls, monitor risk trends and performance metrics, support policy and standards development, assess third-party and platform risks, and contribute to operational resilience initiatives. This position offers the opportunity to influence enterprise-wide risk management practices while helping advance Schwab’s responsible adoption of innovative technologies.

What you have

Required Qualifications

  • 5+ years of experience in technology operations, technology risk management, information security, governance, compliance, audit, or a related discipline.
  • Experience reviewing AI-enabled software development lifecycle (SDLC) or engineering workflows, including AI-assisted development environments.
  • Knowledge of AI risk concepts, governance considerations, and risk management practices across the AI lifecycle.
  • Familiarity with AI evaluation techniques such as bias testing, explainability, model performance monitoring, and validation approaches.
  • Experience developing risk reporting, metrics, dashboards, or executive-level governance materials.
  • Working Knowledge of technology risk management frameworks and industry standards, including NIST, COBIT, FFIEC, or similar guidance.
  • Understanding of applicable regulatory, compliance, and legal requirements, including GDPR, PCI, FFIEC, GLBA, SOX, or comparable regulations.
  • Demonstrated ability to identify, assess, prioritize, and communicate technology and operational risks through data-driven analysis and strategic recommendations.
  • Strong analytical, problem-solving, critical thinking, and decision-making skills.
  • Excellent written and verbal communication skills with the ability to translate complex technical concepts for both technical and executive audiences.
  • Experience influencing stakeholders, collaborating effectively, and driving outcomes across multiple business functions, including technology, security, risk, compliance, and audit teams.
  • Experience managing multiple priorities and delivering results in a fast-paced, highly regulated environment.
  • Ability to work independently and proactively with minimal direction.
  • Bachelor’s degree in Business Risk Management, Computer Science, Information Systems, Business Administration, or a related field, or equivalent combination of education and experience.

Preferred Qualifications

  • Experience providing technology risk management oversight within financial services or another highly regulated industry.
  • Experience assessing compliance with technology policies, standards, controls, and governance requirements.
  • Experience supporting operational resilience, cyber risk, incident management, or risk mitigation programs.
  • Experience evaluating risks associated with generative AI, agentic AI, machine learning, or other emerging technologies.
  • Experience of data analysis, reporting, and visualization tools such as Tableau, Power BI, or similar platforms.
  • Professional certifications such as CISSP, CISA, CISM, CRISC, CPCB, or equivalent credentials.
  • Advanced degree in a relevant discipline.

In addition to the salary range, this role is eligible for bonus or incentive opportunities.


What’s in it for you

At Schwab, you’re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration—so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.

We offer a competitive benefits package that takes care of the whole you – both today and in the future:

  • 401(k) with company match and Employee stock purchase plan
  • Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
  • Paid parental leave and family building benefits
  • Tuition reimbursement
  • Health, dental, and vision insurance