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Model Risk Officer Jobs in California (NOW HIRING)

Chief Financial Officer

Chico, CA Β· On-site

$200K - $220K/yr

Develop and maintain multi-year financial models, forecasts, and scenario analyses to guide ... Risk Management * Develop and maintain an enterprise risk management framework that identifies ...

Chief Financial Officer

Chico, CA Β· On-site

$200K - $220K/yr

Develop and maintain multi-year financial models, forecasts, and scenario analyses to guide ... Risk Management * Develop and maintain an enterprise risk management framework that identifies ...

Risk Manager

Sunnyvale, CA Β· On-site

$165K - $207K/yr

This engaged and approachable manager will model the behaviors and performance expected of others ... Officer and coordinates Safety Committee activities. * Reviews City contracts and makes ...

Remote PST) About ValidMind ValidMind is a fast-growing B2B AI governance and model risk management ... Reporting directly to the CEO, this is a true builder + operator role. You will help shape company ...

Remote PST) About ValidMind ValidMind is a fast-growing B2B AI governance and model risk management ... Reporting directly to the CEO, this is a true builder + operator role. You will help shape company ...

Showing results 41-60

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 Sep 15, 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 is a model risk officer?

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 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 prioritiesβ€”such as balancing regulatory compliance with business objectivesβ€”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 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 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 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:

Infographic showing various Model Risk Officer job openings in California as of September 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $104,219 per year, or $50.1 per hour.

Head of Regulated Industries, Customer Success

San Francisco, CA

Anthropic
Software DevelopmentΒ β€’Β 11 - 50 employees

Full-time

Posted 3 days ago

New


Job description

About the role

As Head of Regulated Industries - Customer Success at Anthropic, you'll lead the Success teams responsible for our most complex Financial Services (FSI) and Healthcare & Life Sciences (HCLS) customers. Think banks, insurers, asset and wealth managers and financial data providers; health systems, hospitals and payers; and pharmaceutical, biotech and life-sciences organizations. You'll directly coach and develop a team of Customer Success Managers who drive value across the full product portfolio (Claude Platform, Claude Code, Claude Cowork). These are organizations where deployment runs through compliance, procurement, security review, model risk and legal before it reaches an end user.

You'll partner day to day with the Regulated Industries sales organization so that customers experience one Anthropic from first conversation to production. You'll turn what works at one regulated customer into a methodology that works at the next. That means success plans that anticipate the governance gates. Executive programs that reach the CIO, CISO, CRO and compliance leaders who decide whether Claude gets deployed. Expansion plays that survive long procurement cycles.

You'll inherit a partially formed team, spanning individual contributors and managers. You'll hire and run the initial team yourself. As the book expands you'll continue to add managers underneath you and manage through them. We're looking for someone who has already led a success business in regulated environments and wants to build the operating model that lets it scale.

Responsibilities:
  • Directly manage and develop a team of Customer Success Managers covering Financial Services and Healthcare & Life Sciences enterprise accounts - the Regulated Industries book - across all Anthropic products.

  • Own the hiring plan for the team, including sourcing for regulated-industry experience, onboarding and ramp design; later, hire and develop team leads and shift to managing through them.

  • Coach the team on success practice specific to regulated customers. That includes navigating compliance, procurement, security and model-risk reviews; building champions across business, technology and risk functions; change management under strict controls; and value realization across consumption and seat-based models.

  • Drive team accountability to core CS metrics: expansion (consumption growth, adoption), customer health, retention (NRR) and customer satisfaction (CSAT).

  • Join strategic customer engagements and escalations, with executive presence in front of CIOs, CISOs, chief risk and compliance officers, heads of business lines and board-level sponsors.

  • Build and refine the regulated-industries success methodology. Success planning frameworks that map the governance path to consumption; QBR and executive-briefing templates; security and compliance readiness playbooks; reference architectures and expansion playbooks that transfer from one regulated customer to the next.

  • Partner closely with the Regulated Industries sales organization to align on account strategy, set clear ownership between AEs and CSMs, and manage handoffs so long deployment cycles don't stall between teams.

  • Collaborate with Product, Engineering, Security, Legal and Marketing to advocate for regulated customers' needs and translate field signal into product direction.

  • Establish an AI-first, innovation-focused team culture; improve team processes and deepen hands-on product expertise.

  • Conduct regular 1:1s, performance reviews and career development planning for direct reports.

  • Own portfolio-level planning and forecasting, including renewal-risk mitigation and consumption development across the regulated book.

  • Serve as the escalation point for at-risk customers and complex situations in the team's portfolio.

  • Develop advocacy assets for regulated customers: case studies, references and reference architectures that can be shared within compliance constraints.

  • Champion responsible AI deployment practices with customers and represent Anthropic's values in every customer interaction.

You may be a good fit if you have:
  • 10+ years in customer success, account management or customer-facing roles, with 5+ years of front-line management experience; 2+ years of experience managing managers.

  • Direct experience driving a Success business with regulated customers - financial services, healthcare and life sciences, or comparable regulated sectors. That means working through compliance, procurement, security review, risk and legal gates and consensus-building across executives to get to consumption.

  • A proven track record of managing and building customer success teams in SaaS, API or AI/ML companies.

  • Experience managing enterprise portfolios, including accounts with $1M-$100M+ annual contract values and deployment cycles measured in quarters, not weeks.

  • Demonstrated ability to drive outcomes in organizations with many decision-makers and no single owner, and to coach a team to do the same.

  • A strong understanding of both consumption-based and seat-based business models, with a record of driving adoption, expansion and value realization across them.

  • Experience developing repeatable frameworks, playbooks or enablement programs that other teams adopted independently of you.

  • Technical fluency to understand AI/ML products and the deployment, data and security considerations regulated customers raise.Β 

  • Working knowledge of the regulatory and compliance frameworks these customers operate under e.g. HIPAA, FDA and healthcare data-security requirements

  • Strong executive presence with both business and risk-side leaders. Represents Anthropic credibly in a CISO or model-risk conversation as well as a CFO one.

  • Strong business acumen: articulating value, calculating ROI and driving customer business outcomes.

  • The ability to balance strategic thinking with tactical execution, and to context-switch between coaching, customer engagement and operational planning.

  • A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality

  • Passion for responsible AI development and for helping customers transform their businesses with cutting-edge technology.