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

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 ...

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Ai Risk Analyst information

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$14

$38

$61

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 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 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.

Model Risk Management, AI Risk, Dallas, Analyst/Associate

Goldman Sachs Group, Inc.

Dallas, TX • On-site

$90 - $150/hr

Other

Posted 2 days ago

New


Goldman Sachs rating

7.8

Company rating: 7.8 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

89th of 175 rated banks


Job description

DEPARTMENT OVERVIEW

The Model Risk Management (MRM) group is a multidisciplinary group of quantitative experts at Goldman Sachs with presence in New York, Dallas, London, Birmingham, Warsaw, Hong Kong, Bangalore, and Hyderabad. The MRM group is responsible for independent oversight of Model Risk at the firm, ensuring compliance with Model Control Policy and related requirements, including documentation to evidence effective challenge over the Model development, implementation and usage of Models.
The group’s primary mandate is to manage risk that arises from models used in the firm through its range of businesses– from models used for derivatives valuation to models used for risk management, liquidity and capital computations. In addition to independently reviewing these classes of models for their validity, theoretical consistency and implementation accuracy, the group is also responsible to assess the risk associated with model choice, e.g., exposure to choice of model in various contexts such as pricing exotic options or in calculating capital. As AI adoption increases across the firm, the MRM group plays a critical role in ensuring that innovative AI capabilities are deployed safely.

JOB RESPONSIBILITIES
  • Play a central role in shaping firmwide AI risk management oversight and governance through:
    • Management of the AI oversight committee including agenda-setting, materials, and executive-level decision support
    • Managing the AI risk assessment and approval activities across control functions, working closely with the business and engineers to guide them through the approval process
    • Owning the firmwide view of AI usage, enabling senior leadership to understand risk posture, trends, and emerging concentrations including through management of the firmwide AI inventory, and tracking and reporting on committee activities, approvals, and follow-ups
  • Design, maintain, and evolve the firmwide AI governance framework, liaising with other business units such as Legal, Compliance, and Engineering to translate regulatory expectations and emerging industry standards into practical, scalable controls
  • Liaise with technology teams to design scalable infrastructure for AI inventory management and AI risk assessment and approval workflows
  • Manage and coordinate engagement with regulators, helping shape external understanding of the firm’s risk management approach
QUALIFICATIONS
  • 3 plus years of experience, preferably in Financial Services and with working knowledge of AI
  • Excellent project management and communication skills, with ability to work and communicate effectively with a wide variety of technical and non-technical stakeholders across various seniority levels
  • Excellent analytical, quantitative, interpersonal and organizational skills. Team oriented and able to pick up technical concepts quickly
  • Comfort operating in areas of evolving regulation and limited precedent, with the ability to exercise sound judgement
  • Programming skills preferred(e.g., Python)
ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

© The Goldman Sachs Group, Inc., 2023. All rights reserved.
Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

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About Goldman Sachs

Sourced by ZipRecruiter

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869