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Ai Risk Manager Jobs in Hawaii (NOW HIRING)

Humana

Lead, Offensive Security

Honolulu, HI · On-site

... AI Risk Management Framework. * Run purple-team engagements: measure detection and response (dwell time, alert fidelity, ATT&CK coverage) and drive detection-engineering improvements from what the ...

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Ai Risk Manager information

How much do AI risk managers make?

AI risk managers typically earn between $100,000 and $180,000 annually, depending on experience, education, and location. Senior roles or those in high-demand industries can offer higher salaries, often supplemented with bonuses and benefits. Strong knowledge of AI systems, risk assessment, and compliance are key skills for this role.

What does an AI risk manager do?

An AI risk manager assesses and mitigates potential risks associated with artificial intelligence systems, including ethical, safety, and compliance concerns. They develop strategies to ensure AI models operate reliably and responsibly, often working with data scientists and engineers to implement risk management frameworks and monitor AI performance. Strong analytical skills and knowledge of AI ethics, regulations, and tools are essential for this role.

What is the difference between Ai Risk Manager vs Data Scientist?

AspectAi Risk ManagerData Scientist
Required CredentialsTypically requires a degree in risk management, AI, or related fields; certifications in AI or risk management are commonRequires a degree in computer science, statistics, or related fields; certifications in data analysis or machine learning are common
Work EnvironmentWorks in financial, insurance, or tech industries focusing on AI risk assessment and mitigationWorks across industries analyzing data, building models, and deriving insights
Employer & Industry UsageUsed by organizations managing AI deployment risks, especially in regulated sectorsUsed by companies developing AI solutions, data-driven products, and analytics teams

The main difference is that an Ai Risk Manager focuses on identifying and mitigating risks associated with AI systems, often requiring knowledge of risk management and AI ethics. In contrast, a Data Scientist primarily analyzes data and builds models to extract insights, with less emphasis on risk mitigation. Both roles may overlap in AI projects but serve distinct functions within organizations.

Is AI going to replace AI Risk Manager jobs?

AI Risk Managers analyze and mitigate risks associated with artificial intelligence systems, a role that requires specialized knowledge of AI technologies, ethics, and compliance. While AI tools can assist in risk assessment, the job involves strategic decision-making and oversight that are unlikely to be fully automated in the near future.
What are popular job titles related to Ai Risk Manager jobs in Hawaii? For Ai Risk Manager jobs in Hawaii, the most frequently searched job titles are:
What job categories do people searching Ai Risk Manager jobs in Hawaii look for? The top searched job categories for Ai Risk Manager jobs in Hawaii are:
What cities in Hawaii are hiring for Ai Risk Manager jobs? Cities in Hawaii with the most Ai Risk Manager job openings:
Ai Risk Manager jobs near you
Infographic showing various Ai Risk Manager job openings in Hawaii as of August 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Model Risk Management Analyst

First Hawaiian, Inc.

Honolulu, HI • On-site

$62K - $77K/yr

Full-time

Re-posted 3 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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