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Model Risk Governance Manager Jobs in California

Earnest

Senior Model Risk Manager

San Francisco, CA

$203K - $250K/yr

Serve as a trusted advisor on model governance, helping Earnest move fast while maintaining the ... model risk management in financial services (or a Bachelor's degree with 10+ years of relevant ...

Earnest

Senior Model Risk Manager

San Francisco, CA · On-site +1

$203K - $250K/yr

Serve as a trusted advisor on model governance, helping Earnest move fast while maintaining the ... model risk management in financial services (or a Bachelor's degree with 10+ years of relevant ...

Adobe

Sr. Manager Risk & Governance

San Jose, CA · On-site

Improve decision-making using security insights, data analytics, and modeling to validate the ... Manage and mentor a high-performing risk and governance team, fostering collaboration and growth.

Sunflower Bank, N.A.

Model Risk Analyst

Irvine, CA · On-site

$85K - $95K/yr

Sunflower Bank is seeking a Model Risk Analyst to join its Enterprise Risk Management Department. The Analyst will be responsible for supporting the bank-wide Model Risk Management (MRM) program ...

Sunflower Bank NA

Model Risk Analyst

Irvine, CA · On-site

$85K - $95K/yr

Sunflower Bank is seeking a Model Risk Analyst to join its Enterprise Risk Management Department. The Analyst will be responsible for supporting the bank-wide Model Risk Management (MRM) program ...

Sunflower Bank NA

Model Risk Analyst

Irvine, CA · Hybrid

$85K - $95K/yr

Sunflower Bank is seeking a Model Risk Analyst to join its Enterprise Risk Management Department. The Analyst will be responsible for supporting the bank-wide Model Risk Management (MRM) program ...

Pwc

AI Governance Manager

Los Angeles, CA · On-site

$99K - $297K/yr

... model testing and validation, risk management, controls testing, or audit related to AI, analytics, or information systems, governance or compliance roles focused on AI, emerging technology, or ...

Pwc

AI Governance Manager

San Francisco, CA

$99K - $297K/yr

... model testing and validation, risk management, controls testing, or audit related to AI, analytics, or information systems, governance or compliance roles focused on AI, emerging technology, or ...

Axos Bank

AI Enablement & Governance Lead

San Diego, CA · On-site

$150K - $180K/yr

Serve as the primary liaison to CISO, ERM, TPRM, Compliance, Legal, and Model Risk Management (MRM) for all AI governance activities. * Partner with business line owners to drive the ...

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Model Risk Governance Manager information

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

AspectModel Risk Governance ManagerModel Risk Analyst
Primary FocusOversees model risk policies, governance frameworks, and compliancePerforms detailed model validation, testing, and analysis
ResponsibilitiesDevelops risk management strategies, monitors model risk, ensures regulatory adherenceConducts model performance assessments, documentation, and validation activities
Required CredentialsAdvanced degrees in finance, statistics, or related fields; certifications like FRM or CFA often preferredSimilar credentials; often holds certifications like FRM or CFA
Work EnvironmentStrategic, governance-focused teams within financial institutionsAnalytical teams performing technical validation tasks

The Model Risk Governance Manager focuses on overseeing model risk frameworks and ensuring compliance, while the Model Risk Analyst conducts detailed model validation and testing. Both roles require similar credentials and work within the financial industry, but their responsibilities differ in scope and focus.

What are the most commonly searched types of Model Risk Governance jobs in California? The most popular types of Model Risk Governance jobs in California are:
What are popular job titles related to Model Risk Governance Manager jobs in California? For Model Risk Governance Manager jobs in California, the most frequently searched job titles are:
What job categories do people searching Model Risk Governance Manager jobs in California look for? The top searched job categories for Model Risk Governance Manager jobs in California are:
What cities in California are hiring for Model Risk Governance Manager jobs? Cities in California with the most Model Risk Governance Manager job openings:
Model Risk Governance Manager jobs near you
Infographic showing various Model Risk Governance Manager job openings in California as of May 2026, with employment types broken down into 100% Full Time. Highlights an 88% In-person, 6% Hybrid, and 6% Remote job distribution.

Senior Model Risk Manager - AI/ML

Mercury

San Francisco, CA • On-site, Remote

Full-time

Posted 2 days ago

Job description

Mercury is building the financial stack - intuitive, powerful, and safe for entrepreneurs and businesses of all sizes. We have made a deliberate, company-wide bet on AI/ML. Across fraud detection, financial crime prevention, credit decisioning, and internal operations, machine learning and AI models are becoming core to how Mercury works, and that portfolio is growing fast.
As AI transforms financial services, every institution is being forced to ask a hard question: what does model risk management (MRM) actually mean in this new era? ML has powered fraud detection and credit decisioning for years, but the scope and technology has changed dramatically. Generative models, autonomous agents, and real-time systems are creating risks that existing MRM frameworks were never designed to govern. No one has fully solved this yet. We want to hire the person who will. Ideal candidates may come from a traditional model validation background with deep hands-on experience testing modern AI/ML systems, or from model development, applied AI, or research as data scientists, with a strong understanding of how risks emerge in complex systems and how to rigorously challenge them as they scale into production.
*Mercury is a fintech company, not an FDIC-insured bank. Banking services provided through Choice Financial Group and Column N.A., Members FDIC.
As Senior Model Risk Manager - AI/ML, you will define what model governance looks like for AI/ML at Mercury. That means continuously building and enhancing the frameworks, not just inheriting them. You will own validation, monitoring, and governance of Mercury's AI/ML model portfolio, but more than that, you will be a thought leader in an industry-wide conversation about how MRM must evolve in the context of AI. You will partner closely with data scientists, engineers, compliance leads, and product teams, and you will help shape not just Mercury's approach, but set a standard for what rigorous, forward-looking MRM on AI can look like in fintech.
Here are some of the things you will do:
Model Governance & Monitoring Oversight
  • Maintain and enhance Mercury's model governance framework, including inventory standards, documentation templates, validation standards, and issue management.
  • Assess whether first-line monitoring efforts are effective, proportionate to model risk, and sufficient to keep models fit for purpose over time.

Model Validation
  • Perform independent validation across predictive ML models, generative AI systems, and agentic workflows, covering data, assumptions, methodology, testing, and monitoring.
  • Assess risks in LLM-powered applications, including RAG pipelines, tool use, autonomy boundaries, human oversight, and hallucination risk.
  • Identify and document model limitations, failure modes, and emerging AI risks including drift, instability, fairness, and robustness concerns

MRM Advisory
  • Serve as a trusted advisor to data scientists, engineers, product teams, and risk partners throughout the AI/ML lifecycle to provide practical guidance on model risk, governance expectations, and control design without slowing responsible innovation.
  • Evaluate new AI use cases for regulatory implications, materiality, and governance requirements prior to deployment.
  • Help shape Mercury's responsible AI standards, including explainability, bias assessment, testing, human oversight, and documentation.

AI Enablement for MRM
  • Develop and maintain AI-enabled automation tools to improve the speed, scale, and effectiveness of model governance and validation workflows.
  • Modernize the MRM function to operate effectively in a fast-moving AI environment while maintaining strong governance standards.

Culture and Advocacy
  • Champion MRM as a strategic enabler of safe and scalable AI/ML adoption, not simply a control function.
  • Build model risk literacy across engineering, product, data science, compliance, and risk teams.

There are many paths that could lead you here. We think the strongest candidates will bring some combination of the following:
  • Bachelor's degree in a quantitative field (e.g. Computer Science, Engineering, Statistics, Mathematics, etc.) with 6-10 years of meaningful hands-on experience developing or validating AI/ML models and systems, ideally in financial services or fintech.
  • Strong technical foundations in Python, SQL, and modern ML tooling (e.g. scikit-learn, XGBoost); familiarity with LLMs, RAG systems, prompt engineering, and AI agent frameworks.
  • Experience in evaluating and testing machine learning models (e.g. in fraud detection) and generative AI systems, including custom evals, red-teaming, or frameworks.
  • Solid understanding of model risk governance principles and regulatory expectations (e.g. SR 11-7 / OCC 2011-12, SR 26-2).
  • Deep appreciation of disciplined model governance and independent effective challenge.
  • A healthy dose of skepticism combined with a constructive, solution-oriented approach.
  • Comfort operating in ambiguity: capable of synthesizing fragmented technical, operational, and business context into a clear understanding of how complex models and AI systems actually work, and making sound judgments even without a complete playbook or perfect documentation.
  • High agency and adaptability: able to operate effectively in a fast-moving environment where priorities evolve quickly, new ad hoc problems emerge regularly, and role boundaries are intentionally broad. You can operate effectively without tightly-defined scope, find the highest-leverage work, and get it done.
  • Exceptional attention to detail across documentation, code base, testing artifacts and quantitative analysis.
  • Strong written and verbal communication skills; you can explain model risk to a data scientist and to a regulator, and use different language for each.

The total rewards package at Mercury includes base salary, equity, and benefits.
Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate's experience, expertise, geographic location, and internal pay equity relative to peers.
Our target new hire base salary ranges for this role are the following:
  • US employees (any location): $200,700 - $250,900
  • Canadian employees (any location): CAD $189,700 - $237,100

Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.
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