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

Operationalize Okta's AI risk and governance framework-addressing training data protection, model risk management, responsible AI principles, and alignment with emerging frameworks (NIST AI RMF, ISO ...

Plug into whichever Risk program needs the most support at a given moment - third-party risk management, information security, model risk, privacy, financial, operational, etc. - and figure out what ...

SRCO is a management-led function purpose-built to deliver a modern, sustainable, and risk-focused ... model tools to analyze PRDs, engineering specs, and system change documentation for ICFR risk ...

SRCO is a management-led function purpose-built to deliver a modern, sustainable, and risk-focused ... model tools to analyze PRDs, engineering specs, and system change documentation for ICFR risk ...

SRCO is a management-led function purpose-built to deliver a modern, sustainable, and risk-focused ... model tools to analyze PRDs, engineering specs, and system change documentation for ICFR risk ...

Showing results 41-60

Model Risk Manager information

See Hayward, CA salary details

$59K

$127.9K

$194.9K

How much do model risk manager jobs pay per year?

As of Sep 2, 2026, the average yearly pay for model risk manager in Hayward, CA is $127,898.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,200.00 and $147,900.00 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 Hayward, CA look for?

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

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

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

Infographic showing various Model Risk Manager job openings in Hayward, 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 $127,898 per year, or $61.5 per hour.

Senior Manager, Financial Risk Management

OpenAI

San Francisco, CA • On-site

$216K - $240K/yr

Full-time

Re-posted 2 days ago


Job description

About the Team
The Internal Controls function sits within the broader Finance Risk Management (FRM) organization and plays a key role in strengthening the integrity, scalability, and reliability of OpenAI's finance-critical operations.
Our team designs and governs control frameworks that support accurate, transparent financial results and responsible business execution. We focus on business-process and operational controls across areas such as payments, equity, procure-to-pay, payroll and HR processes, strategic investments, M&A, financial close, third-party dependencies, systems, and other high-risk workflows. We work closely with Controllership, Procurement, Legal, People, Corporate Development, Strategic Finance, Finance Systems, Compliance, and business operators to ensure processes are well-designed, well-documented, and audit-ready.
As part of FRM, we contribute to OpenAI's overall financial risk posture by supporting audit readiness, third-party risk considerations, operational risk governance, systems oversight, and ongoing process improvement across the finance ecosystem. Together, we help build the foundation of trust and operational clarity needed for OpenAI to scale responsibly.
About the Role
We're seeking a Senior Manager, Financial Risk Management to help shape and scale OpenAI's risk and controls framework across several dynamic business domains. This role will focus on identifying, prioritizing, and mitigating operational and financial risk across areas such as payments, equity, strategic investments, procurement, people processes, systems, third-party dependencies, and other finance-critical workflows.
This person will serve as a senior cross-functional partner to Finance, Controllership, Legal, People, Procurement, Corporate Development, Payments, Systems, and business operators to design and implement controls that are practical, scalable, and capable of holding up in a fast-changing environment with limited structure. The role requires someone with strong technical controls depth who can move fluidly between risk assessment, control design, program governance, and operational execution - translating ambiguous process risk into clear actions teams can adopt.
This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
In this role, you will:
  • Lead risk and controls support across multiple finance-critical business domains, with a focus on building scalable foundations in a rapidly developing environment.
  • Assess risks across payments, equity, procurement flows, strategic investments, people processes and related systems.
  • Identify where the control environment is weakest or most exposed, and prioritize the highest-risk areas for remediation, control design, governance, or monitoring support.
  • Partner with operational, business, finance, legal, people, procurement, corporate development, and technical teams to design controls that are effective in practice and integrated into day-to-day workflows.
  • Translate risks into clear operational requirements, including ownership models, approval points, control objectives, monitoring expectations, reconciliations, evidence needs, system dependencies, and escalation paths.
  • Drive cross-functional remediation efforts where processes are unclear, fragmented, overly manual, inconsistently documented, or dependent on immature systems/data.
  • Help teams balance speed and control by implementing fit-for-purpose guardrails that support execution, preserve accountability, and avoid unnecessary friction.
  • Support new or changing processes, systems, deals, vendors, payment flows, and operating models by ensuring risk, control, governance, and evidence considerations are addressed upfront.
  • Contribute to broader ICFR/SOX and operational risk readiness efforts by strengthening control design, documentation, testing readiness, issue management, and leadership visibility across high-impact processes.
You might thrive in this role if you have:
  • 10+ years of experience in financial risk management, operational risk, internal controls, SOX/ICFR, internal audit, controllership, finance transformation, or related risk/control roles.
  • Experience working with at least some domains such as payments, procurement, strategic investments, M&A integration, HR/people processes, financial close, controllership, third-party risk, or other operational business processes.
  • Strong judgment on how to design the right level of control in a fast-scaling company, including where lightweight guardrails are sufficient, where formal ICFR/SOX controls are required, and where automation or monitoring is the better answer.
  • Experience working in environments with evolving systems, incomplete process structure, unclear ownership, or fragmented data - and bringing order without over-engineering.
  • Demonstrated ability to partner effectively with operational, finance, legal, people, procurement, corporate development, and technical teams, including stakeholders who may initially view controls as slowing them down.
  • Strong ability to translate broad risks into actionable controls, RCMs, narratives, operating requirements, quality gates, KRIs, dashboards, and remediation plans.
  • Deep familiarity with core controls concepts, including preventive vs. detective controls, manual vs. automated controls, IT-dependent controls, monitoring mechanisms, evidence expectations, testing readiness, and deficiency evaluation.
  • Strong communication, organization, and stakeholder management skills.
  • ERP, GRC, procurement, payments, HRIS, investment, M&A integration, workflow, or data platform experience is a plus.

About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
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At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.