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Model Risk Management Jobs in Santa Clara, CA (NOW HIRING)

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

Support the development of and compliance with risk management policies, procedures, and guidelines ... models to support captive risk strategies and portfolio optimization. * Manage claims from ...

New

Drive portfolio growth while maintaining disciplined risk management and strong unit economics ... Partner with Data Science to prioritize and shape credit models and decision systems * Translate ...

Risk Adjustment Director

Scotts Valley, CA ยท On-site

$96.15 - $120.19/hr

... Medicare Managed Care Programs. * 3 years of supervisory experience. * Expert knowledge of Medicare HCC risk adjustment models. * Working knowledge of CPT, HCPCS, and ICD-9/10 medical coding.

Experience with risk management, insurance, and captive insurance companies. * Experience working ... As a Financial Analyst, your work, whether it's modeling business scenarios or tracking performance ...

Sr Product Manager, Risk Platform

San Jose, CA ยท On-site

$148K - $195K/yr

What You'll Be Doing: * 7+ years of product management experience in platform products, preferably risk management platform domain with experience in decision engines, modeling services, risk ...

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Model Risk Management information

See Santa Clara, CA salary details

$42.9K

$96.7K

$162.1K

How much do model risk management jobs pay per year?

As of Aug 10, 2026, the average yearly pay for model risk management in Santa Clara, CA is $96,691.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,400.00 and $106,300.00 per year, depending on experience, location, and employer.

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 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?

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 the most commonly searched types of Model Risk Management jobs in Santa Clara, CA? The most popular types of Model Risk Management jobs in Santa Clara, CA are:
What are popular job titles related to Model Risk Management jobs in Santa Clara, CA? For Model Risk Management jobs in Santa Clara, CA, the most frequently searched job titles are:
What job categories do people searching Model Risk Management jobs in Santa Clara, CA look for? The top searched job categories for Model Risk Management jobs in Santa Clara, CA are:
What cities near Santa Clara, CA are hiring for Model Risk Management jobs? Cities near Santa Clara, CA with the most Model Risk Management job openings:
Infographic showing various Model Risk Management job openings in Santa Clara, CA as of August 2026, with employment types broken down into 79% Full Time, 17% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $96,691 per year, or $46.5 per hour.

Third Party Risk Management Lead

Jobtailor

Foster City, CA โ€ข On-site

$150 - $230/hr

Other

Posted 5 days ago


Job description

Responsibilities
  • Run substantive thirdโ€‘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 AIโ€‘specific provisions
  • Review contracts for nonโ€‘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 thirdโ€‘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 dataโ€‘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 crossโ€‘functional collaboration skills โ€” 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 thirdโ€‘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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