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

Wsgr

Senior AI Risk Advisor

Palo Alto, CA · On-site +1

Lead AI risk assessments across the full model lifecycle - evaluating third-party AI vendors, foundation models, and AI-powered platforms for data privacy risks, model behavior, security posture, and ...

PayPal

Sr Machine Learning Engineer

San Jose, CA

$65.25 - $86.50/hr

The position also supports AI and model risk governance to ensure compliance with PayPal's enterprise risk framework and evolving regulatory standards. Essential Responsibilities: * Develop and ...

xAI

Senior Data Analyst- Fraud & AML

Palo Alto, CA

$148K - $220K/yr

You will work closely with Compliance, Engineering, Model Risk, Product, and external regulators to ensure our controls are robust, defensible, and scalable. RESPONSIBILITIES: * Design, develop, and ...

Amat

AI Security Engineer

Santa Clara, CA · On-site +1

$108K - $148K/yr

Define and enforce AI risk tiering and classification (data sensitivity, model risk, autonomy level, exposure) * Partner with AI Governance, Legal, Privacy, and Risk teams to establish approval ...

Applied Materials

AI Security Engineer

Santa Clara, CA · On-site

$108K - $148K/yr

Define and enforce AI risk tiering and classification (data sensitivity, model risk, autonomy level, exposure) * Partner with AI Governance, Legal, Privacy, and Risk teams to establish approval ...

Intuit

Senior Staff Risk Engineer

Mountain View, CA

Champion the integration of advanced ML models and GenAI into risk workflows, including: * Fraud detection and classification * Identity risk assessment * Adaptive policy generation * Explainable AI ...

Intuit

Senior Staff Risk Engineer

Mountain View, CA · On-site

Champion the integration of advanced ML models and GenAI into risk workflows, including: * Fraud detection and classification * Identity risk assessment * Adaptive policy generation * Explainable AI ...

Intuit

Senior Staff Risk Engineer

Mountain View, CA

Champion the integration of advanced ML models and GenAI into risk workflows, including: * Fraud detection and classification * Identity risk assessment * Adaptive policy generation * Explainable AI ...

Intuit

Senior Staff Fraud Risk Analyst

Mountain View, CA · On-site

$199K - $270K/yr

They will identify business problems that require modeling solutions and collaborate heavily with the Data Science team in the development and deployment of risk and performance prediction models.

Asurion

Senior Director, Data Science

San Mateo, CA

The leader establishes enterprise best practices for model development, MLOps, and responsible AI, and ensures outcomes align with corporate goals, risk standards, and compliance. The role balances ...

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Showing results 1-20

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 Jun 28, 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:
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Model Risk jobs near you

Data Scientist - Fraud & Risk Analyst

Galent

San Jose, CA • On-site

Other

Posted 7 days ago

Job description

  • 4+ years of experience in risk analytics, fraud strategy, or risk policy at a payments, fintech, or financial services company
  • Expert-level SQL (BigQuery strongly preferred); comfortable writing complex CTEs, window functions, dedup logic, and partition-filtered queries on large transactional tables
  • Strong understanding of A/B testing and shadow testing frameworks for platform migrations or model deployments
  • Proven ability to independently scope and deliver end-to-end data analyses with clear, actionable stakeholder deliverables
  • Excellent communication skills - comfortable presenting complex findings to cross-functional teams and leadership
  • Python proficiency for automation (pandas, openpyxl, ThreadPoolExecutor-based parallel query execution)
  • Experience with Tableau for risk/fraud KPI dashboards

Preferred Skills:

  • Exposure to model risk concepts: score values, data pipelines, velocity features
  • Experience with rule-based risk systems and the ability to read, write, and debug rule logic (Pluto)

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, citizenship status, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable law.

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