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Ai Risk Analyst Jobs in Raleigh, NC (NOW HIRING)

Risk Analyst

Raleigh, NC · On-site

$110 - $140/hr

Our AI-driven solutions empower financial institutions to make smarter decisions, enhance customer ... Facilitate performance data analysis across systems, coordinate insights on system behavior, and ...

Our end-to-end platform blends AI-powered capabilities and flexible tech stacks, so customers can ... The Senior SOC Analyst is an experienced cybersecurity professional responsible for handling ...

As a Senior Analyst, you will play a pivotal role leading and delivering AI enablement engagements ... guide AI intake, risk documentation, and compliance-sensitive oversight processes. * Ensure ...

As a Senior Analyst, you will play a pivotal role leading and delivering AI enablement engagements ... guide AI intake, risk documentation, and compliance-sensitive oversight processes. * Ensure ...

Apply AI tools, skills, and frameworks to build efficiencies and automations into reporting and analysis workflows -- from data processing and classification to first-draft insight generation. What ...

Join our team and use advanced data, AI, and emerging technologies with industry insights to help ... Successful candidates will demonstrate an aptitude for complex problem-solving and analytical ...

Legal AI Trainer - Remote

Cary, NC · Remote

$90 - $150/hr

Your work will directly improve how these systems identify risk and interpret contract language to ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

Your work will directly improve how these systems identify risk and interpret contract language to ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

Your work will directly improve how these systems identify risk and interpret contract language to ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

Your work will directly improve how these systems identify risk and interpret contract language to ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

AI Legal Counsel - Remote

Cary, NC · Remote

$90 - $130/hr

Your work will directly improve how these systems identify risk and interpret contract language to ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

Legal Counsel - AI Trainer

Cary, NC · Remote

$90 - $130/hr

Your work will directly improve how these systems identify risk and interpret contract language to ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

Your work will directly improve how these systems identify risk and interpret contract language to ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

Your work will directly improve how these systems identify risk and interpret contract language to ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

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Ai Risk Analyst information

See Raleigh, NC salary details

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How much do ai risk analyst jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for ai risk analyst in Raleigh, NC is $39.35, according to ZipRecruiter salary data. Most workers in this role earn between $28.99 and $47.88 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 cities near Raleigh, NC are hiring for Ai Risk Analyst jobs?

Cities near Raleigh, NC with the most Ai Risk Analyst job openings:

Infographic showing various Ai Risk Analyst job openings in Raleigh, NC as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution, with an average salary of $81,854 per year, or $39.4 per hour.

$110 - $140/hr

Other

Medical, Retirement

Posted 4 days ago


Key responsibilities

  • Collaborate with internal and client teams to resolve complex incidents, conduct root cause analyses, and document findings with preventive recommendations

  • Participate in evaluation of client IT infrastructure, prepare actionable assessment reports, and support due diligence to document infrastructure maturity and improvement opportunities

  • Align release schedules and environment readiness, execute deployments as per protocols, perform post-deployment testing, and manage version control to track changes


Infosys rating

7.0

Company rating: 7.0 out of 10

Based on 62 frontline employees who took The Breakroom Quiz

153rd of 226 rated it services


Job description

Plano, TX, Raleigh, NC, Reston, VA, Richardson, TX, Tempe, AZ

USA

ITL USA

Overview

The Infosys Financial Services unit is a global leader in driving digital transformation for financial institutions. We specialize in leveraging advanced technologies such as AI, cloud, and data-led innovation to help our clients accelerate growth and unlock business value. Our AI-driven solutions empower financial institutions to make smarter decisions, enhance customer experiences, and achieve operational excellence. Join us to be part of a pioneering team that is at the forefront of financial services transformation. You'll have the opportunity to work with cutting-edge AI technologies, collaborate with industry experts, and contribute to transformative projects across banking, wealth management, and insurance sectors. If you're passionate about AI and eager to make a significant impact, the Infosys Financial Services unit is the perfect place for you to grow and excel.

Area Of Responsibility
  • Collaborate with internal and client teams to resolve complex incidents, conduct root cause analyses, and document findings with preventive recommendations
  • Participate in evaluation of client IT infrastructure, prepare actionable assessment reports, and support due diligence to document infrastructure maturity and improvement opportunities
  • Contribute to the design of scalable, cost-effective IT infrastructure solutions, review reusable components, and develop technical documentation for deployed systems
  • Align release schedules and environment readiness, execute deployments as per protocols, perform post-deployment testing, and manage version control to track changes
  • Co-ordinate maintenance schedules, emergency fixes, and technology upgrades while ensuring uninterrupted integration into existing systems and processes
  • Facilitate performance data analysis across systems, coordinate insights on system behavior, and support capacity planning to optimize performance
  • Conduct security checks, recovery drills, and compliance audits, implement security measures, and coordinate continuity plans to maintain adherence to standards
  • Gather feedback to identify automation opportunities, analyze existing infrastructure processes, and propose enhancements for efficiency gains
  • Act as liaison with onsite, offshore, and vendor teams to document project requirements, ensuring effective collaboration
  • Develop a centralized repository of technical and procedural knowledge, leveraging insights from other projects to drive efficiency and retain organizational expertise
Contribution to the team
  • A collaborative spirit and excellent communication skills.
  • Ability to handle complex incidents and implement resolutions
  • A knack for conducting IT infrastructure assessment and identifying key optimization opportunities
  • Focused approach towards deployment management, system optimization, and process automation initiatives including sector specific focus
  • The ability to work with cross-functional teams
Required Skill and Experience
  • Experience supporting Governance, Risk, and Controls (GRC) programs in financial services or other regulated environments.
  • Ability to partner with business and technology teams to identify, document, and improve processes and procedures.
  • Experience documenting process flows, procedures, risk assessments, and control inventories.
  • Strong understanding of operational risk management concepts, including risk identification, assessment, mitigation, and monitoring.
  • Ability to translate business requirements into clear, actionable processes and control documentation.
  • Experience developing, documenting, and maintaining preventive and detective controls.
  • Strong project management and coordination skills, including tracking deliverables, action items, dependencies, and milestones.
  • Experience facilitating workshops, interviews, and working sessions with stakeholders to gather requirements and drive outcomes.
  • Strong analytical and organizational skills with attention to detail and accuracy.
  • Partner with business and technology teams to document end-to-end processes, procedures, risks, and controls.
  • Coordinate and track GRC-related projects, deliverables, and remediation activities.
  • Facilitate meetings and working sessions to identify process gaps, control requirements, and improvement opportunities.
  • Develop and maintain process documentation, control narratives, risk assessments, and supporting artifacts.
  • Assist in defining new controls and enhancing existing controls to address identified risks.
  • Track action plans, issues, and dependencies to support timely execution of risk and control initiatives.
  • Prepare executive and management-level status reporting and presentations.
  • Support audits, examinations, and internal reviews by gathering and organizing documentation.
Preferred Skill and Experience
  • Knowledge of control frameworks and industry standards (e.g., COSO, SOX, Operational Risk Management, NIST, COBIT) preferred.
  • Proficiency with Microsoft Office Suite (Excel, PowerPoint, Word), Visio, and collaboration tools such as SharePoint, Jira, or Confluence.
Additional Required Qualifications
  • Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
  • This position may require relocation and/or travel to work/project location.
  • Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role now or in the future.

Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits:

  • Long-term/Short-term Disability
  • Health and Dependent Care Reimbursement Accounts
  • Insurance (Accident, Critical Illness , Hospital Indemnity, Legal)
  • 401(k) plan and contributions dependent on salary level
About Us

Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

EEO

Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.

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