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

Intuit

Staff Fraud & Risk Analyst

Mountain View, CA · On-site

$176K - $238K/yr

Responsibilities - Partner with Risk Policy and Operations teams to stress test ROI models for new product launches and policy changes - validating loss absorption assumptions and revenue-offset ...

Intuit

Manager 3, Credit Risk

Mountain View, CA · On-site

Partner with Data Science to prioritize and shape credit models and decision systems * Translate ... Act as the primary risk partner to Product, Capital Markets, Finance, and Operations * Influence ...

Nvidia

Risk Manager

Santa Clara, CA · On-site

... models to support captive risk strategies and portfolio optimization. * Manage claims from reporting through settlement; coordinate with third-party administrators, claim adjusters, insurers, and ...

New

OKX

Sr Product Manager, Risk Platform

San Jose, CA · On-site

$148K - $195K/yr

The scope of this role includes designing and developing risk models, risk products and risk platforms, integrating with fraud & risk vendors, enabling healthy business growth and enhancing customer ...

OKX

Sr Product Manager, Risk Platform

San Jose, CA

$148K - $195K/yr

The scope of this role includes designing and developing risk models, risk products and risk platforms, integrating with fraud & risk vendors, enabling healthy business growth and enhancing customer ...

Google

Risk Analyst

Sunnyvale, CA · On-site

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 ...

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All JobsModel Risk JobsModel Risk Jobs in Santa Clara, CA

Model Risk information

See Santa Clara, CA salary details

$16

$35

$86

How much do model risk jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for model risk in Santa Clara, CA is $35.63, according to ZipRecruiter salary data. Most workers in this role earn between $22.88 and $45.43 per hour, depending on experience, location, and employer.

What are some typical challenges faced by professionals working in model risk, and how can they be addressed?

Professionals in Model Risk often encounter challenges such as ensuring model accuracy, managing regulatory compliance, and effectively communicating complex technical findings to non-technical stakeholders. Addressing these challenges requires a strong understanding of both quantitative modeling and relevant regulations, as well as strong collaboration skills to work with model developers, auditors, and business units. Staying informed about evolving regulatory standards and participating in ongoing training can also help model risk professionals remain effective and add value to their organizations.

What are the key skills and qualifications needed to thrive as a model risk analyst, and why are they important?

To thrive as a Model Risk Analyst, you need a solid background in quantitative analysis, statistics, or finance, often supported by an advanced degree in a related field. Familiarity with model validation tools, programming languages such as Python or R, and regulatory frameworks like SR 11-7 is essential. Strong analytical thinking, attention to detail, and effective communication skills are crucial for evaluating models and presenting findings to stakeholders. These skills ensure model integrity, regulatory compliance, and risk mitigation in financial institutions.

What is the difference between Model Risk vs Model Validation?

AspectModel RiskModel Validation
Primary FocusIdentifying, assessing, and mitigating risks associated with modelsEvaluating and testing models to ensure accuracy and reliability
Required CredentialsQuantitative skills, risk management certifications, industry experienceQuantitative expertise, validation certifications, industry knowledge
Work EnvironmentRisk management teams within financial institutions or firmsModel validation teams, often within risk or model development departments
Industry UsageUsed across banking, insurance, and investment firms to manage model-related risksCommonly employed in financial services to verify model performance

Model Risk focuses on managing the potential negative impacts of models, including errors and misuse, while Model Validation concentrates on testing and confirming the accuracy and robustness of models. Both roles are essential in financial industries to ensure models are reliable and risks are minimized.

What is model risk?

Model risk refers to the potential for adverse consequences resulting from decisions based on incorrect or misused models. In financial institutions, model risk can arise if a model's assumptions are flawed, if the data input is poor, or if the model is applied inappropriately. Managing model risk involves validating models, monitoring their performance, and ensuring that they are used within their intended scope. Effective model risk management helps organizations avoid significant financial losses and comply with regulatory requirements.
What are the most commonly searched types of Model Risk jobs in Santa Clara, CA? The most popular types of Model Risk jobs in Santa Clara, CA are:
What are popular job titles related to Model Risk jobs in Santa Clara, CA? For Model Risk jobs in Santa Clara, CA, the most frequently searched job titles are:
What job categories do people searching Model Risk jobs in Santa Clara, CA look for? The top searched job categories for Model Risk jobs in Santa Clara, CA are:
Model Risk jobs near you
Infographic showing various Model Risk job openings in Santa Clara, CA as of August 2026, with employment types broken down into 2% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $74,107 per year, or $35.6 per hour.

Third Party Risk Management Lead

Jobtailor

Foster City, CA • On-site

$150 - $230/hr

Other

Posted 5 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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