Model Risk Management Analyst

June 11, 2026

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

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