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Ai Risk Analyst Jobs in Hawaii (NOW HIRING)

BOOZ, ALLEN & HAMILTON, INC.

$198K/yr

Logistics Analyst, Senior The Opportunity: As an expert in defense missions, your unique background ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

micro1 AI

M&A Attorney - AI Trainer - Remote

Honolulu, HI · 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 ...

SOSi

$97K - $126K/yr

This role blends advanced cyber operations with modern AI-assisted detection--leading analysts ... specific risk indicators. * Ensure incidents, investigations, shift notes, case updates, and ...

SOSi

Senior Cyber Defense Analyst

Camp H M Smith, HI

$97K - $125K/yr

This role blends advanced cyber operations with modern AI-assisted detection-leading analysts ... specific risk indicators. * Ensure incidents, investigations, shift notes, case updates, and ...

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Ai Risk Analyst information

See Hawaii salary details

$15

$42

$68

How much do ai risk analyst jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for ai risk analyst in Hawaii is $42.06, according to ZipRecruiter salary data. Most workers in this role earn between $30.96 and $51.20 per hour, depending on experience, location, and employer.

How does an AI Risk Analyst typically 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 a $900000 AI job?

A $900,000 AI job typically refers to high-level roles such as AI research directors, chief AI officers, or senior data scientists working in organizations with significant AI investments. These positions often require advanced skills in machine learning, deep learning, and data analysis, along with extensive experience and leadership responsibilities. Compensation at this level reflects the strategic importance and complexity of AI initiatives within the company.

What careers are at risk with AI?

AI poses a risk to jobs involving repetitive tasks and routine processes, such as data entry, basic customer service, and certain manufacturing roles. Roles that rely heavily on manual or predictable tasks are more susceptible to automation, while jobs requiring complex decision-making, creativity, and emotional intelligence are less vulnerable.

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 familiarity with AI safety tools, often supported by certifications or advanced degrees. Gaining experience through internships or projects focused on AI ethics and safety is also beneficial.

What does an AI risk analyst do?

An AI risk analyst evaluates potential risks associated with artificial intelligence systems, including ethical, safety, and security concerns. They analyze data, develop risk mitigation strategies, and often use tools like risk assessment frameworks and programming skills to ensure AI deployments are safe and compliant with regulations.

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 are the key skills and qualifications needed to thrive as an AI Risk Analyst, and why are they important?

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 are AI Risk Analysts?

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 Hawaii? For Ai Risk Analyst jobs in Hawaii, the most frequently searched job titles are:
What job categories do people searching Ai Risk Analyst jobs in Hawaii look for? The top searched job categories for Ai Risk Analyst jobs in Hawaii are:
What cities in Hawaii are hiring for Ai Risk Analyst jobs? Cities in Hawaii with the most Ai Risk Analyst job openings:
Ai Risk Analyst jobs near you

Model Risk Management Analyst

First Hawaiian, Inc.

Honolulu, HI • On-site

$62K - $77K/yr

Full-time

Re-posted 21 days ago

First Hawaiian Bank rating

8.2

Company rating: 8.2 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

51st of 170 rated banks

Job description

First Hawaiian Bank is currently seeking a Model Risk Management Analyst to join the team in the Analytics Risk Management department.

Compensation:

The pay range for the role is $62,000 - $77,000/yr; commensurate with experience

Work Schedule:

Monday - Friday 8:00AM - 5:00PM (hours may vary)

The ideal candidate will have:

  • Bachelor's degree in a quantitative field such as finance, mathematics, economics, statistics, or a related discipline required
  • Master's degree in a quantitative field such as finance, mathematics, economics, statistics, or a related discipline preferred
  • Two years of professional experience in risk management or compliance with demonstrated ability to administer and enhance governance platforms and systems of record, including reporting, dashboarding and workflow management; or one year of professional experience in risk management and one year of experience in system administration, with demonstrated ability to administer and enhance governance platforms and systems of record, including reporting, dashboarding, and workflow management required
  • Understanding of bank products and services, with a continuous focus on improving how they are supported, measured and governed
  • Practical, working knowledge of data science methodologies, statistical concepts and analytical thinking, with the ability to critically evaluate model machine learning performance
  • Familiarity with agentic and generative AI frameworks and tools, with a mindset toward continuous improvement and innovation
  • Strong understanding of risk management, compliance, and/or governance functions, with an eye toward identifying efficiencies and strengthening controls
  • Exposure to model risk management concepts, including model inventory management, validation, monitoring, and issue tracking, with a focus on process improvement and optimization
  • Ability to quickly learn complex systems, including risk management platforms, reporting tools and internal workflows
  • Comfortable working independently while coordinating across business lines, risk teams and technical stakeholders
  • Excellent communication, interpersonal and presentation skills, both written and verbal. Technical writing skills and experience with model documentation are preferred
  • Strong attention to detail with the ability to identify gaps, inconsistencies, and data quality issues 
  • Ability to handle confidential information with professionalism and discretion 
  • Highly organized, with strong time-management skills and the ability to independently manage multiple governance activities and deadlines simultaneously

The Model Risk Management Analyst plays a key role in executing and implementing the Bank's Model Risk Management Program. This position is primarily responsible for model governance and monitoring activities, including tracking, coordinating, and reporting model risk activities across the model lifecycle. This role requires close collaboration with stakeholders such as model owners and model developers, as well as effective skills in developing audit-ready reporting and documentation, producing oversight committee materials, and maintaining and customizing the Model Risk Management team's governance system. The Model Risk Management Analyst is detail-oriented, analytical, organized and ethical. 

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