1

Model Risk Manager Jobs in Westminster, CA (NOW HIRING)

Leading delivery of Trustworthy AI risk workstreams, including generative AI, agent model ... Managing engagement execution, including workplans, stakeholder communications, issue resolution ...

Develop and evolve insurance products and risk management solutions that balance Netflix's risk philosophy with business and operational needs, including new and emerging business models. * Drive the ...

FVP, ALM Manager

El Monte, CA · On-site

$175K - $198K/yr

Evaluate interest rate risk exposures using the Empyrean ALM model and other industry-standard ... Manage the Empyrean ALM model, behavioral assumptions, data integrity, documentation, back-testing ...

Manage the company's Total Cost of Risk, optimizing the balance between risk transfer, retention ... models. Drive the evaluation and implementation of alternative risk financing solutions (e.g ...

Develop and evolve insurance products and risk management solutions that balance Netflix's risk philosophy with business and operational needs, including new and emerging business models. * Drive the ...

Develop and evolve insurance products and risk management solutions that balance Netflix's risk philosophy with business and operational needs, including new and emerging business models. * Drive the ...

The candidate is someone who can design data structures for risk monitoring and build simple quantitative models - using regression, predictive, and scenario analysis - to help anticipate and manage ...

AVP, Business Risk Analyst

El Monte, CA · On-site

$93K - $114K/yr

Manage the reporting of Key Risk Indicators (KRIs) and performance-linked metrics aligned to business processes. Build statistical and trend-based analysis models to monitor risk concentrations and ...

Our culture in Risk Management and Compliance is all about thinking outside the box, challenging ... You would leverage wealth of internal and external data as well as state-of-the-art models to ...

Strong knowledge of AI governance, responsible AI, AI security, data governance, MLOps, model lifecycle management, and risk management . * Demonstrated experience developing AI business cases, ROI ...

Showing results 41-60

Model Risk Manager information

See Westminster, CA salary details

$53.1K

$115K

$175.2K

How much do model risk manager jobs pay per year?

As of Sep 14, 2026, the average yearly pay for model risk manager in Westminster, CA is $114,999.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,800.00 and $133,000.00 per year, depending on experience, location, and employer.

What does a model risk manager do?

A Model Risk Manager is responsible for identifying, assessing, and mitigating risks associated with financial and analytical models used by an organization. They ensure that models are accurate, reliable, and compliant with regulatory standards by overseeing validation processes and monitoring model performance. Their role often includes collaborating with model developers, conducting independent reviews, and implementing model governance frameworks to minimize potential losses or errors stemming from model misuse or inaccuracies.

What skills and qualifications are needed to be a model risk manager?

To thrive as a Model Risk Manager, you need a solid background in quantitative finance, statistics, or mathematics, often supported by an advanced degree and experience in model development or validation. Familiarity with programming languages such as Python or R, risk management frameworks, and regulatory requirements like SR 11-7 or ECB guidelines is typically expected. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for articulating complex model risks to stakeholders. These competencies are vital for ensuring the accuracy, compliance, and reliability of financial models within an organization.

What are common challenges a model risk manager faces when validating complex financial models?

Model Risk Managers often encounter challenges such as limited or incomplete data, evolving regulatory requirements, and the need to validate highly complex or proprietary models. They must work closely with model developers, quantitative analysts, and compliance teams to ensure all assumptions and methodologies are sound. Staying up to date with industry best practices and maintaining clear documentation are also crucial, as is effectively communicating findings to both technical and non-technical stakeholders.

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

AspectModel Risk ManagerQuantitative Analyst
Required CredentialsAdvanced degrees in finance, statistics, or mathematics; certifications like FRM or CFADegree in finance, economics, mathematics, or related fields; often CFA or CQF
Work EnvironmentFocus on risk management teams within financial institutions; regulatory complianceAnalytical roles within trading, investment, or banking divisions; model development
Employer & Industry UsageFinancial institutions, banks, asset managersInvestment firms, hedge funds, banks, financial services

The Model Risk Manager primarily oversees and mitigates risks associated with financial models, ensuring compliance and accuracy. In contrast, Quantitative Analysts develop and implement models to support trading, investment, or risk strategies. While both roles require strong quantitative skills and similar credentials, their focus areas differ—risk management versus model development and analysis.

What job categories do people searching Model Risk Manager jobs in Westminster, CA look for?

The top searched job categories for Model Risk Manager jobs in Westminster, CA are:

What cities near Westminster, CA are hiring for Model Risk Manager jobs?

Cities near Westminster, CA with the most Model Risk Manager job openings:

Infographic showing various Model Risk Manager job openings in Westminster, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $114,999 per year, or $55.3 per hour.

AI Governance Manager

Los Angeles, CA • On-site

Deloitte
Finance and Insurance • 10K+ employees

Full-time

Posted 20 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz


Job description

Manager - AI Governance - Enterprise Operations & Risk

Our Deloitte Regulatory, Risk & Forensic team helps client leaders translate multifaceted risk and an evolving regulatory environment into defensible actions that strengthen, protect, and transform their organizations. Join our team and use advanced data, artificial intelligence (AI), and emerging technologies, along with industry insights, to help clients bring clarity from complexity and accelerate their path to value creation.

Recruiting for this role ends on 12/31/2026.

Work you'll do

As a Manager, AI Governance on the Enterprise Operations & Risk team, you will be responsible for:

  • Leading delivery of Trustworthy AI risk workstreams, including generative AI, agent model validation, and AI regulatory sensing, for Deloitte member firms and external clients in the Technology, Media & Telecommunications industry
  • Advising client and internal stakeholders on AI risk management, governance, compliance, and regulatory requirements, including escalation of complex matters to senior leaders when appropriate
  • Developing and implementing AI governance frameworks, controls, and operating procedures that address fairness, transparency, privacy, and regulatory compliance across the AI lifecycle
  • Managing engagement execution, including workplans, stakeholder communications, issue resolution, quality review, and coaching of team members
  • Contributing to market activation through proposals, client materials, industry insights, and knowledge sharing across Trustworthy AI, corporate compliance, and business ethics offerings

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Our Enterprise Operations & Risk offering enables clients to achieve profitable growth and competitive advantage by optimizing "heart of the business" operations. We use deep domain knowledge to extend enterprise resilience, agility, and remediation. Our professionals address client needs that span the organization and have an impact on strategy, operations, performance, and reputation.

Qualifications

Required:

  • Bachelor's degree in Law, Business Information Systems, Finance, Business Management, or Public Policy
  • 6+ years of experience in regulatory risk, compliance, AI governance, model risk, or advisory services
  • Experience in operational compliance, regulatory management, or compliance program transformation
  • Experience developing or implementing governance frameworks, controls, or regulatory compliance processes
  • Experience managing workstreams or project teams across cross-functional stakeholders
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience with Trustworthy AI, AI governance, model validation, or AI regulatory risk management
  • Experience serving clients in the Technology, Media & Telecommunications industry
  • Experience supporting proposals, account planning, or revenue growth activities
  • Experience with operations, compliance monitoring, regulatory reporting, risk management, case management, or data management systems
  • Experience with process design, workflow development, user acceptance testing, data mapping, data migration, or analytics
  • Experience translating regulatory or risk requirements into user stories or product requirements

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 to $265,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Manager - AI Governance - Enterprise Operations & Risk

Our Deloitte Regulatory, Risk & Forensic team helps client leaders translate multifaceted risk and an evolving regulatory environment into defensible actions that strengthen, protect, and transform their organizations. Join our team and use advanced data, artificial intelligence (AI), and emerging technologies, along with industry insights, to help clients bring clarity from complexity and accelerate their path to value creation.

Recruiting for this role ends on 12/31/2026.

Work you'll do

As a Manager, AI Governance on the Enterprise Operations & Risk team, you will be responsible for:

  • Leading delivery of Trustworthy AI risk workstreams, including generative AI, agent model validation, and AI regulatory sensing, for Deloitte member firms and external clients in the Technology, Media & Telecommunications industry
  • Advising client and internal stakeholders on AI risk management, governance, compliance, and regulatory requirements, including escalation of complex matters to senior leaders when appropriate
  • Developing and implementing AI governance frameworks, controls, and operating procedures that address fairness, transparency, privacy, and regulatory compliance across the AI lifecycle
  • Managing engagement execution, including workplans, stakeholder communications, issue resolution, quality review, and coaching of team members
  • Contributing to market activation through proposals, client materials, industry insights, and knowledge sharing across Trustworthy AI, corporate compliance, and business ethics offerings

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Our Enterprise Operations & Risk offering enables clients to achieve profitable growth and competitive advantage by optimizing "heart of the business" operations. We use deep domain knowledge to extend enterprise resilience, agility, and remediation. Our professionals address client needs that span the organization and have an impact on strategy, operations, performance, and reputation.

Qualifications

Required:

  • Bachelor's degree in Law, Business Information Systems, Finance, Business Management, or Public Policy
  • 6+ years of experience in regulatory risk, compliance, AI governance, model risk, or advisory services
  • Experience in operational compliance, regulatory management, or compliance program transformation
  • Experience developing or implementing governance frameworks, controls, or regulatory compliance processes
  • Experience managing workstreams or project teams across cross-functional stakeholders
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience with Trustworthy AI, AI governance, model validation, or AI regulatory risk management
  • Experience serving clients in the Technology, Media & Telecommunications industry
  • Experience supporting proposals, account planning, or revenue growth activities
  • Experience with operations, compliance monitoring, regulatory reporting, risk management, case management, or data management systems
  • Experience with process design, workflow development, user acceptance testing, data mapping, data migration, or analytics
  • Experience translating regulatory or risk requirements into user stories or product requirements

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 to $265,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

What Deloitte employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom