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Weekend Model Risk Management Jobs (NOW HIRING)

Position Overview The Officer, Model Risk Management will conduct various activities related to enterprise model risk validation and model governance. This individual is accountable for independently ...

Position Overview The Officer, Model Risk Management will conduct various activities related to enterprise model risk validation and model governance. This individual is accountable for independently ...

Responsible for ongoing management, the bank's Model Risk Management Program including continuous enhancements in compliance with applicable regulations and industry practices. The incumbent will be ...

Responsible for ongoing management, the bank's Model Risk Management Program including continuous enhancements in compliance with applicable regulations and industry practices. The incumbent will be ...

Responsible for ongoing management, the bank's Model Risk Management Program including continuous enhancements in compliance with applicable regulations and industry practices. The incumbent will be ...

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Weekend Model Risk Management information

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$51.5K

$111.6K

$170K

How much do weekend model risk management jobs pay per year?

As of Jun 19, 2026, the average yearly pay for weekend model risk management in the United States is $111,556.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $129,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in Weekend Model Risk Management, and why are they important?

To thrive in Weekend Model Risk Management, you need a solid background in quantitative analysis, statistics, and risk management, typically supported by a degree in finance, mathematics, or a related field. Familiarity with risk management frameworks, financial modeling software (such as SAS, Python, or R), and regulatory guidelines is crucial. Strong analytical thinking, attention to detail, and effective communication skills help differentiate top performers in this role. These skills ensure accurate risk assessment, compliance with regulations, and the ability to communicate complex findings to stakeholders even during off-peak hours.

What are some unique challenges faced by professionals working in Weekend Model Risk Management roles?

Professionals in Weekend Model Risk Management often face the challenge of addressing urgent model validation or risk assessment tasks outside of standard business hours, which requires strong time management and clear communication with weekday teams. Since model risk issues can arise unexpectedly, weekend teams must be adept at quickly assessing model performance, documenting findings, and escalating concerns as needed. Additionally, collaboration with cross-functional teams—such as compliance, IT, and front-office staff—is essential to ensure continuity of oversight and to resolve issues that may impact critical business decisions before the next trading week. This role offers exposure to a range of models and scenarios, helping build expertise and visibility within risk management functions.

What is the difference between Weekend Model Risk Management vs Weekend Quantitative Analyst?

AspectWeekend Model Risk ManagementWeekend Quantitative Analyst
CredentialsTypically requires risk management certifications, finance or quantitative degreesRequires quantitative degrees, often with programming skills
Work EnvironmentFocuses on risk assessment, model validation, complianceInvolves data analysis, model development, financial modeling
Industry UsageCommon in banking, asset management, financial institutionsCommon in hedge funds, investment banks, trading firms

Weekend Model Risk Management professionals focus on identifying and mitigating risks associated with financial models, ensuring compliance and accuracy. Weekend Quantitative Analysts primarily develop and analyze models to support trading and investment decisions. While both roles require quantitative skills and finance knowledge, their core responsibilities differ: risk management emphasizes validation and oversight, whereas quantitative analysis centers on model creation and optimization.

What is Weekend Model Risk Management?

Weekend Model Risk Management refers to the process of identifying, assessing, and mitigating risks associated with financial and statistical models specifically over weekends or during non-standard business hours. This role is crucial for institutions that operate globally or require continuous monitoring to ensure models function properly and remain compliant even when regular staff may be unavailable. Weekend Model Risk Management professionals review model performance, validate data, and implement controls to prevent errors or breaches during off-peak times. Their work helps maintain the integrity and reliability of models used for trading, risk assessment, and decision-making.
What cities are hiring for Weekend Model Risk Management jobs? Cities with the most Weekend Model Risk Management job openings:
What are the most commonly searched types of Model Risk Management jobs? The most popular types of Model Risk Management jobs are:
What states have the most Weekend Model Risk Management jobs? States with the most job openings for Weekend Model Risk Management jobs include:

Model Risk Management Analyst

First Hawaiian, Inc.

Honolulu, HI • On-site

$62K - $77K/yr

Full-time

Posted 11 days ago


First Hawaiian Bank rating

8.0

Company rating: 8.0 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

54th of 141 rated banks


Job description

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:
  • 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

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