About the position
Join the First Hawaiian Bank ‘ohana, where our culture flourishes with purpose. We prioritize the 3 C's - Caring, Character and Collaboration - ensuring a workplace that is not only rewarding, but deeply fulfilling. Consistently recognized as one of the ‘Best Places to Work in Hawaii' for 14 consecutive years, we take pride in our longstanding commitment to both our team and the communities we serve, spanning over 165 years. Step into a career that offers stability, excitement, and growth. Experience the thrill of a dynamic environment paired with a comprehensive training program. Plus, enjoy the perks of our competitive compensation and benefits package. If you are ready for a career that empowers you to thrive, your journey starts here. As part of its Digital Transformation journey, First Hawaiian Bank aims to continuously improve its range of data-driven financial guidance and digital services for its customers and digitize and streamline its operations and reporting. To support the execution of this strategy and address the associated legal, regulatory and operational risks, the Model Risk Management team collaborates with various business units across the Bank and plays a pivotal role in ensuring the accuracy, reliability and compliance of our financial and non-financial models, including those leveraging AI and advanced analytics. First Hawaiian Bank is currently seeking a Senior Model Risk Analyst to join the Model Risk Management team. As a senior member of the team, the Analyst will be instrumental in helping the team achieve its core objective of performing effective oversight of the models' inventory, validating Quantitative Decision Methods (QDMs), and challenging model owners and developers to meet internal policy requirements and regulatory expectations. This role will involve collaborating closely with various departments from across the bank, including business leaders and data scientists to provide expert advice, develop and implement data-driven decisioning frameworks, perform rigorous and independent oversight, and drive continuous improvement in model risk management practices.
Responsibilities
- Provides subject matter expertise to business units regarding model risk management, including model validation, governance, and control.
- Advises stakeholders on the identification, assessment, and mitigation of model risks across the bank's various functions and operations.
- Offers guidance on appropriate model usage, limitations, assumptions, and controls to ensure informed decision-making.
- Conducts Model Validations, including thorough reviews of model documentation, design, implementation and other relevant materials to ensure the accuracy and appropriateness of model methodologies, data, and assumptions in accordance with relevant regulatory and bank policies (e.g., SR 11-7) to assess compliance with established policies and applicable regulatory guidelines.
- Maintains the Bank's model inventory and engages with the Lines of Business to ensure it is complete and accurate.
- Collects risk and model performance indicators, perform and document quantitative and qualitative analysis.
- Prepares management reporting materials, and report program status to oversight committees.
- Administers the Bank's Governance, Risk and Compliance (GRC) tool.
- Participates in the formulation and enhancement of model risk management policies, standards, and procedures.
- Stays current with industry best practices, regulatory requirements, and evolving standards related to model risk management.
- Collaborates with cross-functional teams to ensure alignment of policies with the bank's risk appetite and strategic objectives.
- Identifies opportunities to enhance model risk management practices through process optimization, technology adoption, and data-driven insights.
- Leads initiatives to enhance model governance, validation methodologies and risk assessment techniques.
- Develops and delivers training programs to promote awareness of model risk management principles across the organization.
Requirements
- Bachelor's degree in quantitative field such as Finance, Mathematics, Economics, Statistics or a related discipline required.
- 5+ years of experience developing or validating models in the banking industry or related quantitative field.
- 4+ years of experience coding in statistical software packages like Python, R, or similar software packages used in model development and validation.
- Experience with developing and implementing Machine Learning models preferred.
- Understanding of bank products and services, Corporate finance and accounting principles preferred.
- Education and related work experience in developing or reviewing models or other quantitative decision methods preferred.
Nice-to-haves
- Masters degree in a quantitative field such as Finance, Mathematics, Economics, Statistics or a related discipline preferred.
Benefits
- 401(k)
- 401(k) matching
- Dental insurance
- Employee assistance program
- Employee discount
- Flexible spending account
- Health insurance
- Life insurance
- Paid time off
- Professional development assistance
- Referral program
- Retirement plan
- Tuition reimbursement
- Vision insurance
