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Director Model Risk Governance Jobs in California

The Sr Model Risk Manager will report to the Head of Credit Risk. As the Sr Model Risk Manager, you ... Serve as a trusted advisor on model governance, helping Earnest move fast while maintaining the ...

Senior Model Risk Manager

San Francisco, CA · On-site +1

$203K - $250K/yr

The Sr Model Risk Manager will report to the Head of Credit Risk. As the Sr Model Risk Manager, you ... Serve as a trusted advisor on model governance, helping Earnest move fast while maintaining the ...

Lead Adobe's Security Risk and Governance program by advancing the security risk strategy through ... Improve decision-making using security insights, data analytics, and modeling to validate the ...

Lead Adobe's Security Risk and Governance program by advancing the security risk strategy through ... Improve decision-making using security insights, data analytics, and modeling to validate the ...

Lead Adobe's Security Risk and Governance program by advancing the security risk strategy through ... Improve decision-making using security insights, data analytics, and modeling to validate the ...

Responsible for leading the Investment Risk Team in the development, implementation, and governance ... Supports ERM Model Risk Management activities, including working with multi-factor equity risk ...

Familiarity with model governance or credit risk governance and regulatory expectations * Strong attention to detail and the ability to synthesize complex trends into clear summaries for executive ...

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Director Model Risk Governance information

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

To thrive as a Director of Model Risk Governance, you need deep expertise in quantitative finance, risk management, and model validation, often backed by an advanced degree in a quantitative field and relevant industry experience. Familiarity with risk management frameworks, regulatory standards (e.g., SR 11-7), and proficiency in analytical tools like Python, R, or SAS are typically required. Exceptional leadership, communication, and critical thinking skills help you effectively oversee teams and coordinate with stakeholders across the organization. These competencies are vital to ensure robust model governance, regulatory compliance, and informed risk-based decision-making at the enterprise level.

What are some common challenges faced by a Director of Model Risk Governance, and how can they be addressed?

A Director of Model Risk Governance often encounters challenges such as ensuring consistent model validation across diverse business units, keeping up with evolving regulatory requirements, and fostering effective communication between model owners, validators, and senior management. Addressing these challenges typically involves establishing robust model risk frameworks, maintaining clear documentation, and promoting a culture of transparency and collaboration. Regular training sessions and open forums can help bridge knowledge gaps, while leveraging technology can streamline model inventory and validation processes.

What are Director Model Risk Governance roles?

Director Model Risk Governance roles are senior positions responsible for overseeing and managing the risks associated with financial and predictive models within an organization. These professionals establish and implement model risk management frameworks, ensure compliance with regulatory requirements, and oversee model validation processes. They collaborate with model developers, validators, and business units to identify, assess, and mitigate model risks, as well as report on governance effectiveness to senior management. Their work is crucial in maintaining the reliability and integrity of models used for decision-making and regulatory reporting.

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

AspectDirector Model Risk GovernanceModel Risk Analyst
CredentialsAdvanced degrees (e.g., Master’s, PhD), professional certifications (e.g., FRM, CFA)Bachelor’s or Master’s degree, relevant certifications
Work EnvironmentStrategic oversight, policy development, senior stakeholder engagementData analysis, model validation, risk assessment
Employer & Industry UsageFinancial institutions, banks, asset managersFinancial institutions, risk management teams
Search & Comparison IntentUnderstanding leadership roles in model risk governanceEntry to mid-level model risk roles, analysis tasks

The main difference is that the Director Model Risk Governance focuses on strategic oversight, policy setting, and managing model risk at a senior level, while the Model Risk Analyst handles technical validation, data analysis, and risk assessment tasks. The director role involves leadership and decision-making, whereas the analyst role is more technical and operational.

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 Director Model Risk Governance jobs in California? For Director Model Risk Governance jobs in California, the most frequently searched job titles are:
What job categories do people searching Director Model Risk Governance jobs in California look for? The top searched job categories for Director Model Risk Governance jobs in California are:
What cities in California are hiring for Director Model Risk Governance jobs? Cities in California with the most Director Model Risk Governance job openings:
Senior Model Risk Manager

Senior Model Risk Manager

Earnest

San Francisco, CA • On-site

$203K - $250K/yr

Other

Posted 17 days ago


Job description

The Sr Model Risk Manager will report to the Head of Credit Risk. 

As the Sr Model Risk Manager, you will:

  • Own and evolve Earnest's Model Risk Management framework, ensuring our credit, loss forecasting, fraud, marketing, and finance models are rigorous, transparent, and built to scale responsibly.
  • Lead independent end-to-end model validations - from conceptual soundness and data quality to performance monitoring and implementation review - delivering thoughtful, constructive challenge to modeling teams.
  • Partner closely with Data Science and Risk leaders early in the model design process to strengthen assumptions, improve methodology, and elevate modeling standards across the company.
  • Oversee model performance monitoring and proactively identify emerging risks, performance drift, or control gaps - ensuring timely, practical remediation.
  • Deliver clear, decision-ready validation reports and communicate technical findings in a way that drives strong business outcomes and sound risk decisions.
  • Serve as a trusted advisor on model governance, helping Earnest move fast while maintaining the discipline and controls required of a best-in-class lending platform.

About You: 

  • You hold a Master's degree in a quantitative field (Statistics, Economics, Mathematics, Financial Engineering, or similar) with 7+ years of experience in model development, validation, or model risk management in financial services (or a Bachelor's degree with 10+ years of relevant experience).
  • You've worked in consumer or small business lending - ideally in a fintech or innovative banking environment - and understand the models that power modern credit decisioning.
  • You have hands-on experience with statistical and machine learning models and are comfortable diving into Python code and large datasets using SQL to independently assess model performance.
  • You understand regulatory model risk expectations and know how to apply them pragmatically in a high-growth environment.
  • You bring strong judgment, intellectual independence, and the confidence to challenge assumptions while building productive cross-functional partnerships.
  • You can translate complex modeling concepts into clear, actionable insights for senior stakeholders.

Even Better:

  • Experience in loss forecasting models, preferably with hands-on exposure to CECL frameworks, including model development, validation, or governance.
  • Experience with personal loans or student lending products.
  • Experience interacting with auditors or regulators in model risk or credit oversight contexts.
  • Experience reviewing third-party or vendor models.
  • Experience building or maturing a model governance framework at a scaling fintech company.
Where:
  • This role will be based in the US.

Compensation: 

A little about our pay philosophy: We take pride in compensating our employees fairly and equitably. We are showcasing a range of your potential base salary based on the roles location. The successful candidate's starting pay will also be determined based on job-related qualifications, internal compensation, candidate location and budget. This range may be modified in the future.

Salary Range: $203,000 - $250,000 USD. Employees are also eligible for an annual performance-based bonus and equity.

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