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Model Risk Management Jobs in San Ramon, CA (NOW HIRING)

Docusign

Lead Security Risk Manager

San Francisco, CA · On-site

Experience with risk management frameworks (RMF, ISO 27005, NIST 800-37, NIST 800-30) * Experience with risk quantification models (e.g., FAIR) or building custom risk scoring approaches * Experience ...

Column

Risk Operations

San Francisco, CA · On-site

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 ...

Visa

Director, VCA NA Risk Practice

San Francisco, CA · On-site

Develop customer lifetime value (CLV) and portfolio economics models to inform acquisition, underwriting, pricing, and line management strategies, balancing growth, risk, and profitability. * Build ...

Visa

Director, VCA NA Risk Practice

Foster City, CA

Develop customer lifetime value (CLV) and portfolio economics models to inform acquisition, underwriting, pricing, and line management strategies, balancing growth, risk, and profitability. * Build ...

DocuSign

Senior Security Risk Manager

San Francisco, CA · Hybrid

$146K - $235K/yr

Experience with risk management frameworks, risk quantification models (e.g., FAIR) or building custom risk scoring approaches * Background with security risk assessments, controls, and threat ...

Docusign

Senior Security Risk Manager

San Francisco, CA · On-site

$146K - $235K/yr

Experience with risk management frameworks, risk quantification models (e.g., FAIR) or building custom risk scoring approaches * Background with security risk assessments, controls, and threat ...

Ankura

Model Validation Director

San Francisco, CA · On-site +1

Build, enhance or localize model risk management programs including coverage assessments, change management, access management procedures, internal controls, and transaction monitoring and watchlist ...

DocuSign

Lead Security Risk Manager

San Francisco, CA · On-site +1

Experience with risk management frameworks (RMF, ISO 27005, NIST 800-37, NIST 800-30) * Experience with risk quantification models (e.g., FAIR) or building custom risk scoring approaches * Experience ...

Mercury

IRRBB Manager

San Francisco, CA · On-site +1

Partner with Finance and Risk teams to ensure alignment of modeling assumptions and outputs * Perform scenario analysis and sensitivity testing to support balance sheet strategy and risk management

PayPal

Sr Machine Learning Engineer

San Jose, CA

$65.25 - $86.50/hr

Familiarity with model governance, model risk management, or AI regulatory compliance frameworks (e.g., SR 11-7, OCC 2011-12, EU AI Act) is a plus. Subsidiary: PayPal Travel Percent: 0 - The base pay ...

Wsgr

Senior AI Risk Advisor

San Francisco, CA · On-site +1

The Senior AI Risk Advisor, under the direction of the Manager of Risk Operations, sits at the ... Lead AI risk assessments across the full model lifecycle - evaluating third-party AI vendors ...

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Model Risk Management information

See San Ramon, CA salary details

$40.8K

$92K

$154.2K

How much do model risk management jobs pay per year?

As of Jun 7, 2026, the average yearly pay for model risk management in San Ramon, CA is $92,005.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,800.00 and $101,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Model Risk Management position, and why are they important?

To excel in Model Risk Management, a professional needs a strong grounding in quantitative finance, statistics, and risk assessment, often backed by advanced degrees in relevant fields. Familiarity with technical tools such as Python, R, SAS, and model validation platforms, along with relevant certifications like FRM or CFA, is highly beneficial. Exceptional communication skills, attention to detail, and critical thinking help individuals stand out when interacting with model developers and risk committees. Mastery of these abilities ensures thorough risk analysis, regulatory compliance, and effective mitigation of financial model risks within the organization.

What are some common challenges faced by professionals in Model Risk Management roles?

Professionals in Model Risk Management commonly encounter challenges such as evolving regulatory requirements, the complexity of advanced financial models, and ensuring effective communication between technical and non-technical stakeholders. Staying current with industry best practices while rigorously validating and documenting models can be demanding but is critical for reducing financial and operational risks. Team members often work cross-functionally, collaborating closely with quants, risk managers, and IT teams to evaluate model performance and implement improvements. Adapting to new analytical tools and maintaining a proactive approach to emerging risks will help you succeed and grow in this dynamic field.

What is a Model Risk Management job?

A Model Risk Management (MRM) job involves identifying, assessing, and mitigating risks associated with financial and analytical models used by an organization. Professionals in this role ensure models are accurate, reliable, and comply with regulatory requirements by conducting validation, testing, and performance monitoring. They work closely with model developers, risk teams, and auditors to manage model lifecycle processes. Strong quantitative, analytical, and regulatory knowledge are key skills for success in this field.

What job categories do people searching Model Risk Management jobs in San Ramon, CA look for? The top searched job categories for Model Risk Management jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Model Risk Management jobs? Cities near San Ramon, CA with the most Model Risk Management job openings:
Model Risk Management jobs near you
Infographic showing various Model Risk Management job openings in San Ramon, CA as of May 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $92,005 per year, or $44.2 per hour.
Manager, Third-Party Risk Management (GTM)

Manager, Third-Party Risk Management (GTM)

OpenAI

San Francisco, CA • On-site

$162K - $180K/yr

Full-time

Posted 23 days ago

Job description

About the Team
OpenAI is building a world-class customer and ecosystem risk program to support our global growth across enterprise, API, advertising, and strategic partnership channels. We're hiring a Third Party Risk Manager (GTM) to help scale customer risk operations, KYC/KYB onboarding, and sanctions screening across a rapidly expanding global customer and supplier ecosystem.
About the Role
This role is highly operational and cross-functional. You'll work closely with Legal, Security, Finance, Procurement, GTM Systems, and Sales teams to operationalize scalable risk controls without slowing the business down. You'll help design and improve onboarding workflows, drive customer and supplier sanctions screening operations, support complex escalations, and integrate risk tooling into business processes at scale.
We're looking for someone who combines operational rigor with strong judgment, systems thinking, and the ability to operate effectively in ambiguous, fast-moving environments.
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 day-to-day execution of customer and advertiser risk reviews, KYC/KYB onboarding, sanctions screening, and enhanced due diligence workflows across global customer populations.
  • Manage lifecycle risk operations from onboarding through monitoring, escalation, reassessment, and offboarding for customers, advertisers, and strategic counterparties.
  • Oversee sanctions screening operations across both customer and supplier populations, including development of automated screening workflows, escalation management, adverse media review, and disposition governance.
  • Build and operationalize scalable customer risk and sanctions screening procedures and governance frameworks aligned to OpenAI's risk tolerance and evolving regulatory expectations.
  • Partner closely with Legal, Security, Procurement, Finance, and GTM teams to integrate risk controls into onboarding and operational workflows.
  • Lead integration and optimization efforts across systems such as Salesforce, Persona, screening providers, workflow automation tools, and internal platforms.
  • Develop dashboards, metrics, SLAs, and reporting mechanisms to provide leadership visibility into customer risk operations and screening effectiveness.
  • Support investigations and escalations involving sanctions concerns, suspicious activity, fraud indicators, regulatory inquiries, or customer misuse scenarios.
  • Build repeatable operational playbooks for onboarding, sanctions screening, adverse media review, and escalation handling.
  • Identify opportunities to automate workflows and improve operational scalability without compromising control effectiveness.
  • Explore and deploy AI tools to enhance and streamline OpenAI's trade compliance efforts.

You might thrive in this role if you have:
  • 6+ years of experience in customer risk operations, KYC/KYB, AML, sanctions compliance, third-party risk management, or related operational risk functions, with a particular focus on building scalable sanctions compliance processes.
  • Experience operating scalable onboarding, screening, and case management workflows in high-growth environments.
  • Strong understanding of sanctions regimes, KYC/KYB requirements, AML concepts, export controls, adverse media screening, and customer due diligence frameworks.
  • Sophisticated understanding of how U.S. and international sanctions laws apply to multinational companies operating globally.
  • Experience integrating or optimizing systems such as Persona, Salesforce, OneTrust, workflow automation platforms, or similar operational tooling.
  • Strong analytical and operational problem-solving skills with the ability to make risk decisions in ambiguous situations.
  • Excellent communication and stakeholder management skills, with the ability to balance business enablement and effective control execution.
  • Demonstrated ownership mindset with strong attention to detail and ability to operate independently in fast-paced environments.
  • Experience supporting high-growth technology, AI, fintech, advertising, payments, marketplace, or platform businesses.
  • Experience building customer risk or KYC operations programs from early-stage or scaling environments.
  • Familiarity with enterprise customer onboarding and global go-to-market operations.
  • Experience working with sanctions screening vendors, adverse media tooling, or identity verification providers.
  • Certifications such as CAMS, CRCM, CTPRP, or similar.

Compensation Range: $162K - $180K USD
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.
OpenAI Global Applicant Privacy Policy
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.

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