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

Lead

Senior Fintech Risk Analyst

San Francisco, CA · On-site

$122.72 - $137.50/hr

... risk, model risk management, operational resilience), while providing feedback to continuously improve on our oversight processes. * Provide Robust Credible Challenge: Serve as a subject matter ...

Lead

Senior Fintech Risk Analyst

Sunnyvale, CA · On-site

$122.72 - $137.50/hr

... risk, model risk management, operational resilience), while providing feedback to continuously improve on our oversight processes. * Provide Robust Credible Challenge: Serve as a subject matter ...

CYNET SYSTEMS

GRC Risk Management Analyst

San Jose, CA · On-site

$68.97 - $72.80/hr

Bachelor's degree in Information Security, Risk Management, Business, Computer Science, or a ... model limitations, and responsible human oversight. Must be able to commute to San Jose, CA or ...

CYNET SYSTEMS

GRC Risk Management Analyst

San Jose, CA · On-site

$68 - $72/hr

Bachelor's degree in Information Security, Risk Management, Business, Computer Science, or a ... model limitations, and responsible human oversight. * Must be able to commute to San Jose, CA or ...

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All JobsModel Risk Management JobsModel Risk Management Jobs in San Jose, CA

Model Risk Management information

See San Jose, CA salary details

$42.8K

$96.5K

$161.7K

How much do model risk management jobs pay per year?

As of Aug 24, 2026, the average yearly pay for model risk management in San Jose, CA is $96,490.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,200.00 and $106,100.00 per year, depending on experience, location, and employer.

What is a model risk management?

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 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 are the key skills and qualifications needed to thrive in model risk management, 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 does a model risk management do?

A model risk management professional oversees the identification, assessment, and mitigation of risks associated with financial and operational models. They ensure models are accurate, reliable, and compliant with regulations, often using validation tools and statistical analysis. This role helps prevent financial loss and supports decision-making processes within organizations.

What are the most commonly searched types of Model Risk Management jobs in San Jose, CA?

The most popular types of Model Risk Management jobs in San Jose, CA are:

What are popular job titles related to Model Risk Management jobs in San Jose, CA?

For Model Risk Management jobs in San Jose, CA, the most frequently searched job titles are:

What job categories do people searching Model Risk Management jobs in San Jose, CA look for?

The top searched job categories for Model Risk Management jobs in San Jose, CA are:

What cities near San Jose, CA are hiring for Model Risk Management jobs?

Cities near San Jose, 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 Jose, CA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $96,490 per year, or $46.4 per hour.

Third Party Risk Management Lead

Jobtailor

Foster City, CA • On-site

$150 - $230/hr

Other

Posted 19 days ago

Job description

Responsibilities
  • Run substantive third‑party risk management (TPRM), independently evaluating real risk, not just processing questionnaire responses
  • Review SOC 2 reports, pen test findings, and architecture documentation to form an independent view of vendor risk, extending the same rigor to AI/model providers
  • Partner with Legal on vendor and AI contract terms, including DPAs, subprocessor agreements, and AI‑specific provisions
  • Review contracts for non‑standard security language when flagged by Legal or deal desk, and recommend redlines
  • Maintain the vendor and AI/model risk register, feeding findings into the company's master risk register
  • Enable sales through maturing the customer trust program
  • Build the capability for continuous monitoring of vendor ecosystem
Requirements
  • 8+ years in third‑party/vendor risk management, security risk, or a related GRC role
  • Demonstrated ability to independently assess vendor risk rather than relying on questionnaire responses alone, fluent in reading SOC 2 reports, ISO certificates, pen test summaries, and architecture documentation
  • Experience reviewing or redlining security and data‑handling contract language, ideally in partnership with a legal team
  • Working knowledge of data privacy fundamentals (GDPR, CCPA) as they relate to vendor and subprocessor relationships
  • Strong cross‑functional collaboration skills — this role touches Legal, Engineering, Product, and Sales regularly
  • Experience building repeatable, scalable vendor review processes rather than inheriting an existing one
  • Bonus Qualifications include direct experience assessing foundation model providers or AI/ML vendors specifically
Core Competencies

Expertise in third‑party risk management, including independent vendor risk assessment and contract review, with a strong understanding of data privacy regulations and the ability to collaborate across multiple functions. Proven capability in building scalable vendor review processes and maintaining comprehensive risk registers.

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