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Model Risk Officer Jobs in California (NOW HIRING)

cathaybank

VP, ALM Officer

El Monte, CA

$148K - $175K/yr

GENERAL SUMMARY The VP ALM Officer supports Cathay Bank's (the Bank) asset liability management ... The VP partners closely with Treasury, FP&A, Risk, and Finance teams to ensure accurate modeling ...

cathaybank

VP, ALM Officer

El Monte, CA

$148K - $175K/yr

GENERAL SUMMARY The VP ALM Officer supports Cathay Bank's (the Bank) asset liability management ... The VP partners closely with Treasury, FP&A, Risk, and Finance teams to ensure accurate modeling ...

Cathay Bank

VP, ALM Officer

El Monte, CA · On-site

$148K - $175K/yr

... ALM Officer supports Cathay Bank's (the Bank) asset liability management, interest rate risk ... The VP partners closely with Treasury, FP&A, Risk, and Finance teams to ensure accurate modeling ...

cathaybank

AVP, Business Risk Analyst

El Monte, CA

$93K - $114K/yr

... Control Officers (BRCOs) across assigned units. The centralized team drives consistency and ... Build statistical and trend-based analysis models to monitor risk concentrations and operational ...

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Showing results 1-20

All JobsModel Risk Officer JobsModel Risk Officer Jobs in California

Model Risk Officer information

See California salary details

$32.1K

$104.2K

$157.9K

How much do model risk officer jobs pay per year?

As of Jun 19, 2026, the average yearly pay for model risk officer in California is $104,219.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,400.00 and $128,300.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Model Risk Officers when collaborating with different departments?

Model Risk Officers often work closely with teams in risk management, quantitative analytics, audit, and IT. A common challenge is ensuring effective communication between technical model developers and non-technical stakeholders, as complex model concepts must be clearly explained for informed decision-making. Navigating differing priorities—such as balancing regulatory compliance with business objectives—can also present difficulties. Successful Model Risk Officers proactively foster cross-functional relationships and use clear documentation to bridge these gaps, ensuring model risks are well-understood and appropriately managed across the organization.

What are Model Risk Officers?

Model Risk Officers are professionals responsible for managing and overseeing the risks associated with the use of quantitative models in financial institutions. They ensure that models used for decision-making, such as credit risk, market risk, or capital assessment, are accurate, reliable, and compliant with regulatory requirements. Their duties include validating models, identifying potential weaknesses or limitations, and implementing controls to mitigate model-related risks. Model Risk Officers play a critical role in safeguarding an organization against financial losses or regulatory penalties that may arise from model failures.

What is the difference between Model Risk Officer vs Quantitative Analyst?

AspectModel Risk OfficerQuantitative Analyst
Required CredentialsAdvanced degrees in finance, statistics, or related fields; certifications like FRM or CFADegree in finance, mathematics, or economics; often CFA or related certifications
Work EnvironmentFinancial institutions, risk management teams, regulatory complianceInvestment banks, asset management firms, hedge funds
Employer & Industry UsagePrimarily in banking, insurance, and financial services for risk oversightAcross finance sectors focusing on modeling, trading, and investment analysis

The Model Risk Officer focuses on identifying, assessing, and mitigating risks associated with financial models, ensuring compliance and accuracy. In contrast, a Quantitative Analyst develops and implements complex models for trading, valuation, and investment decisions. While both roles require strong quantitative skills and similar credentials, their primary functions and work environments differ, with the Model Risk Officer emphasizing risk management and regulatory adherence.

What are the key skills and qualifications needed to thrive as a Model Risk Officer, and why are they important?

To thrive as a Model Risk Officer, you need strong quantitative analysis skills, a background in finance or mathematics, and experience with model validation principles, typically supported by an advanced degree in a quantitative field. Familiarity with risk management frameworks, statistical modeling software (such as SAS, R, or Python), and relevant regulatory guidelines (like SR 11-7) is essential. Excellent critical thinking, communication, and stakeholder management skills help you explain complex model risks and recommendations effectively. These skills ensure robust model governance, regulatory compliance, and informed decision-making within financial institutions.
What are popular job titles related to Model Risk Officer jobs in California? For Model Risk Officer jobs in California, the most frequently searched job titles are:
What job categories do people searching Model Risk Officer jobs in California look for? The top searched job categories for Model Risk Officer jobs in California are:
Model Risk Officer jobs near you
Infographic showing various Model Risk Officer job openings in California as of June 2026, with employment types broken down into 1% As Needed, 86% Full Time, 9% Part Time, 1% Temporary, and 3% Contract. Highlights an 97% Physical, and 3% Remote job distribution, with an average salary of $104,219 per year, or $50.1 per hour.
Manager I, Risk (AI Risk Governance)

Manager I, Risk (AI Risk Governance)

Navy Federal Credit Union

San Diego, CA

$111K - $163K/yr

Other

Posted yesterday

Navy Federal Credit Union rating

8.1

Company rating: 8.1 out of 10

Based on 265 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services

Job description

AI Risk Governance Manager

Manages, directs, and supervises staff responsible for AI Risk Governance activities, and implements policies and tactical plans relative to the governance, oversight, and management of AI-related risks. Manages one or more processes related to the identification, assessment, control, and ongoing monitoring of AI use cases across the enterprise, including AI lifecycle governance, risk assessment execution, and inventory management.

Responsibilities
  • Conceptualize and implement frameworks, tools, and methodologies to independently identify, assess, and oversee operational and regulatory risks related to Artificial Intelligence, ensuring effective risk management practices, compliance with regulations, and adherence to enterprise risk appetite
  • Oversee and independently review and challenge functional and operational risk processes, including root cause analysis, risk assessments, and the design and implementation of internal controls
  • Develop and implement Key Risk Indicators (KRI) to provide independent risk insight and monitoring of risk exposure across AI use cases
  • Oversee and independently challenge the identification and remediation of control deficiencies, conduct quality control reviews, assess the effectiveness of controls, and oversee corrective actions to support informed management decisions and risk mitigation
  • Communicate risk governance standards, quality assurance procedures, and effective control practices to support consistent application of enterprise risk expectations
  • Evaluate the adequacy and effectiveness of corrective actions taken on past reviews and provide independent reporting and challenge on the status of approved recommendations
  • Partner with management and key staff from other business units to provide independent guidance and effective challenge on operational risk issues, risk identification, and solution design
  • Ensure understanding and independent oversight of implementation of new operational risk policies and procedures
  • Develop and translate strategy and goals into second-line oversight priorities, objectives, plans, and actions
  • Apply subject matter expertise in AI risk governance and second-line oversight to independently assess and challenge the consistent application of policies, standards, and governance requirements
  • Provide guidance to business units, Risk Officers, and peer risk domains on AI risk treatment, governance expectations, and control design, while maintaining independent oversight and effective challenge
  • Participate in cross-functional governance forums and committees related to AI, model risk, and emerging technology risks, representing second-line risk perspectives and providing independent challenge
Qualifications
  • Broad knowledge of applicable federal and state laws, rules and regulations
  • Broad knowledge of banking/financial industry trends, products and services
  • Experience leading an analytics operation, preferably in a large financial institution, including operational and regulatory risk controls
  • Strong understanding of governance structures
  • Experience demonstrating thought-leadership, initiative-taking, decision making and creativity solving business problems
  • Experience managing multiple priorities independently and/or in a team environment to achieve goals
  • Broad knowledge of regulatory and industry standards impacting financial and debit/credit card products debit/credit card fraud detection, analytics, trends, programs and industry regulations
  • Experience analyzing data to identify red flags for operational risks
  • Experience collaborating with all levels of staff, management, stakeholders, vendors
  • Bachelor's Degree in Business Administration, Auditing, or related field or equivalent combination of training, education and experience
Desired Qualifications
  • Master's Degree in related field or equivalent combination of training, education and experience
  • Understanding AI solutions and/or AI Governance and Risk Management processes
  • Demonstrated experience with NIST AI Risk Management Framework or similar
Hours:
  • Monday - Friday, 8:00AM - 4:30PM
Location:
  • 820 Follin Lane, Vienna, VA 22180
  • 5510 Heritage Oaks Drive, Pensacola, FL 32526
  • 141 Security Drive, Winchester, VA 22602
  • 9999 Willow Creek Road San Diego, CA 92131
Job Info
  • Job Identification 30758
  • Job Category Operational Risk
  • Targeted Salary Range $111,600 - $163,100 annually

What Navy Federal Credit Union employees say

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About Navy Federal Credit Union

Sourced by ZipRecruiter

Navy Federal Credit Union, based in Vienna, Virginia, United States, is a significant player in the financial services industry. Their official website is navyfederal.org. With its roots dating back to 1933, it was initially established to provide credit to Navy members. Over the years, Navy Federal has magnified its scope, evolving into a full-service credit union serving all branches of the military, the Department of Defense, veterans, and their families. The company’s core values include integrity, service, education, and leadership. Navy Federal aims to be the most preferred and trusted financial institution serving the military and their families.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Vienna, VA, US

Year founded

1933

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