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Ai Risk Analyst Jobs (NOW HIRING)

PlanIT Group, LLC

Insider Risk Analyst

They are seeking an Insider Risk Analyst to lead investigations, utilize AI/ML for threat assessment, and collaborate across teams to mitigate insider threats. Responsibilities : • Lead or support ...

Infosys

Risk Analyst

Reston, VA · On-site

We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of ... Required Skill and Experience The ideal candidate is a highly organized Risk Analyst with strong ...

janney

... Vendor Risk Management. What you are good at: Analytical ability - Able to effectively review ... Develop and implement AI use cases to drive efficiency and streamline processes What you have:

janney

... Vendor Risk Management. What you are good at: Analytical ability - Able to effectively review ... Develop and implement AI use cases to drive efficiency and streamline processes What you have:

OpenAI

Agentic Risk Analyst

San Francisco, CA · On-site

$288K - $425K/yr

Our efforts contribute to OpenAI's overarching goal of developing AI that benefits humanity. The ... About the Role As an Agentic Risk Analyst, you will shape OpenAI's operating picture for current ...

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Ai Risk Analyst information

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$15

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How much do ai risk analyst jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for ai risk analyst in the United States is $40.49, according to ZipRecruiter salary data. Most workers in this role earn between $29.81 and $49.28 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.
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Ai Risk Analyst jobs near you
Infographic showing various Ai Risk Analyst job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $84,210 per year, or $40.5 per hour.

Senior Staff Fraud and Risk Analyst

Intuit

Mountain View, CA • On-site

Full-time

Posted 9 days ago

Intuit rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

106th of 247 rated software companies

Job description

Intuit is a global platform company that is on a mission to power prosperity worldwide for consumers, small and mid-market businesses and the self-employed. To achieve this, the Fintech Risk organization is looking for a strong Senior Staff Fraud and Risk Analyst to strengthen our first line of defense risk and controls program within Risk Governance.
As a Senior Staff Fraud and Risk Analyst, you will partner with a wide range of cross-functional teams to understand and document our risks and controls, monitor and test the effectiveness of risk controls, and/or validate models to ensure a strong first line of defense control environment. You will deep dive into data and business processes and interact with leaders to showcase end-to-end controls at various stages of the customer lifecycle, control effectiveness, and/or model performance. More importantly, you will drive the transformation of governance work to unlock the power of data and technologies to better serve our business and customers.
Responsibilities
  • Understand business processes, risks, and controls quickly and in-depth with a focus on assessing and documenting risks and controls for new offerings and AI-focused initiatives while building strong relationships with stakeholders in Product, Policy, Data Science, Operations, Accounting, and Compliance
  • Develop strong AI risk governance frameworks with expansion-ready controls and oversight guidelines to enable successful AI-focused policy and operational Fintech Risk initiatives
  • Drive risk and control assessments, including documentation of process narratives, flows, and control definitions that mitigate risk to be maintained within a GRC tool
  • Conduct and/or participate in detailed walkthroughs and inspection testing with cross-functional teams to establish controls and determine effectiveness, identify gaps, and propose recommendations
  • Identify, evaluate, and document testing of controls and/or independent validation of models, systematically retaining documents that substantiate testing and validation results according to plans
  • Develop polished dashboards and visualization for daily control monitoring capabilities to ensure business processes are working in compliance with risk policies
  • Retrieve, analyze, and interpret data from various sources to determine conclusions and/or recommendations
  • Deep-dive into problems and resolve issues to drive conversations forward across teams independently with meaningful business outcomes
  • Drive remediation efforts, create and track action plans, and support the timely resolution of issues to mitigate control findings or deficiencies with stakeholder groups
  • Document and communicate concisely and regularly to non-technical audiences, both in verbal and written presentations
  • Create procedures, dashboards, alerts, scripts, AI skills, and other automations leveraging AI and other techniques to increase efficiency and productivity in risk governance processes
  • Perform insightful analyses of complex processes or requirements highlighting key trends and areas of focus and demonstrate a strong understanding of their association to risk and controls, policies, and/or models
  • Lead and shape functional strategy with proactive strategic initiative development leveraging AI at the business unit level and drive system migrations for the broader program
  • Operate independently in ambiguous environments and develop scalable frameworks and analytics capabilities that move the needle at the business unit level
  • Provide guidance and mentorship to team members across the team to grow their skills and capabilities
  • Follow industry trends to develop strategic solutions that are best-in-class and meet industry standards from a risk governance perspective

Qualifications
  • 10+ years of relevant business experience including Risk, Finance, Compliance, Audit, or other related subject areas within a fintech, payment processing, lending, or online banking operations organization
  • Bachelor's degree (Master's degree preferred) in STEM, Business, Finance, Economics, or related field
  • Advanced experience with R, Python, and advanced SQL skills and visualization tools such as Quicksight, Tableau, or others
  • Advanced experience with both AI skill development and oversight of AI-focused initiatives from a risk governance perspective
  • Clear understanding of risk and controls management, monitoring, testing, and/or model validation methodologies
  • Strong project and time management skills with ability to lead, multi-task, and prioritize multiple workstreams independently while delivering effective results
  • Outstanding communication skills with the ability to influence decision makers and build consensus with teams
  • Team player with proven relationship-building skills and comfortable interacting with different levels of leadership throughout the organization independently, including executive leadership
  • Knowledge of statistical methods, techniques, and formulas to test and determine the reliability and soundness of results
  • Experience and passion with automating manual process and streamlining work systematically
  • Advanced analytical mindset, business acumen, and a drive/curiosity for continuous learning
  • Familiarity with machine learning and artificial intelligence models; knowledge of both theory and application to different use cases is a plus
  • Ability to independently demonstrate strong execution and operational excellence, customer-centric outcomes, and acceleration of teams
  • Prior leadership and strategy development experience
  • Experience in Fintech with a focus on risk and controls from a money movement perspective is 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.
The expected base pay range for this position is:
Mountain View $199,500 - $270,000

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