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

Amat

Insider Risk Investigator

Santa Clara, CA · On-site

$152K - $208K/yr

... models, including the opening of EPIC. Key Responsibilities * Conduct and support insider risk and ... IP protection investigations using industry-leading investigative and analytical technologies.

Applied Materials

Insider Risk Investigator

Santa Clara, CA · On-site

$152K - $208K/yr

... models, including the opening of EPIC. Key Responsibilities * Conduct and support insider risk and ... IP protection investigations using industry-leading investigative and analytical technologies.

Select Minds LLC

Lead Security Architect

Santa Clara, CA · On-site

$75 - $95/hr

Risk Analysis * Threat Modeling * Architecture Governance Application Security (AppSec) * Secure SDLC * OWASP Top 10 * Threat Modeling * SAST * DAST * Secure Code Review * API Security * Application ...

Medix

Risk Adjustment Director

Scotts Valley, CA · On-site

$96.15 - $120.19/hr

Expert knowledge of Medicare HCC risk adjustment models. * Working knowledge of CPT, HCPCS, and ICD-9/10 medical coding. * Familiarity with data analytical tools like SQL and visualization platforms ...

Intuit

Lead, IT SOX Risk Advisory

Mountain View, CA · On-site

Apply AI-assisted workflows to perform SOX readiness assessments, including use of large language model tools to analyze PRDs, engineering specs, and system change documentation for ICFR risk signals ...

Intuit

Lead, IT SOX Risk Advisory

Mountain View, CA · On-site

Apply AI-assisted workflows to perform SOX readiness assessments, including use of large language model tools to analyze PRDs, engineering specs, and system change documentation for ICFR risk signals ...

Intuit

Lead, IT SOX Risk Advisory

Mountain View, CA · On-site

$175K - $237K/yr

Apply AI-assisted workflows to perform SOX readiness assessments, including use of large language model tools to analyze PRDs, engineering specs, and system change documentation for ICFR risk signals ...

Select Minds LLC

Lead Security Architect

Santa Clara, CA · On-site

$75 - $95/hr

Risk Analysis * Threat Modeling * Architecture Governance Application Security (AppSec) * Secure SDLC * OWASP Top 10 * Threat Modeling * SAST * DAST * Secure Code Review * API Security * Application ...

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Showing results 21-40

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 8, 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
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.

Senior Risk Consultant - US East

DataVisor

Mountain View, CA

Full-time

Medical, Retirement, PTO

Re-posted 27 days ago

Job description


DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.

Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us!

Position Overview

DataVisor is seeking a Senior Risk Consultant to join our Professional Services team. In this role, you will lead a variety of technical and strategic client engagements, including fraud pattern analysis, risk detection strategy development, platform configuration, and machine learning model optimization.

These projects may support customers in both pre-sales and post-sales phases. You will work cross-functionally with Customer Success, Solutions Consulting, ML Modeling, Delivery, Product, and Engineering teams to help customers improve fraud prevention outcomes, drive operational efficiency, and deliver measurable business impact.

Key Responsibilities

Business Problem Discovery

  • Partner with clients to understand business logic, decision flows, pain points, fraud patterns, data availability, data quality, and desired business outcomes
  • Translate business challenges into actionable risk and solution requirements

Data Gathering and Integration

  • Lead technical discussions with clients' risk, fraud, AML, and data teams to ensure complete and high-quality data collection
  • Own data transfer coordination and data quality validation

Data Analysis and Risk Strategy Development

  • Conduct data analysis and fraud pattern analysis using strong domain expertise and business judgment
  • Design, recommend, test, and iterate on detection strategies to improve risk outcomes

Solution Configuration

  • Configure DataVisor platform components such as Rules Engine, Decision Flows, Case Management, Knowledge Graph, and BI Dashboards
  • Deliver tailored solutions that generate strong business value for clients

ML Model Performance Analysis

  • Partner with the ML Modeling team to develop, tune, and evaluate supervised and unsupervised fraud detection models
  • Analyze model performance metrics and provide guidance on threshold setting and decisioning strategies

Project Management and Documentation

  • Manage solution delivery projects using project management tools such as Monday.com
  • Own the creation, maintenance, and reporting of key internal and customer-facing project deliverables

Presentation and Demonstration

  • Present project findings, recommendations, and solution outcomes to business and technical stakeholders
  • Demonstrate configured solutions and articulate business impact clearly and effectively

Requirements

  • Experience
    • 4+ years of experience in fraud and/or AML strategy, analytics, or modeling
    • 2+ years of experience leading client-facing data analytics or consulting projects
  • Technical Skills
    • Strong domain knowledge of fraud and AML use cases within the financial services industry
    • Advanced SQL skills, including complex joins and layered business logic
    • Familiarity with Python, R, and Java is a plus
    • Experience using LLM tools such as ChatGPT and Claude to accelerate research, problem-solving, and documentation
    • Experience configuring technical products and debugging feature, rule, and result behavior
  • Soft Skills
    • Excellent communication, presentation, and interpersonal skills
    • Strong analytical, problem-solving, and results-oriented mindset
    • Strong documentation discipline and interest in automation using AI tools and agents
    • Ability to collaborate effectively in a fast-paced team environment and manage multiple projects simultaneously
  • Education
    • Bachelor's degree in a technical or analytical field such as Data Science, Statistics, Computer Science, or a related discipline

Benefits

Stock options, Medical insurance, 401K, PTO

Why Join DataVisor

  • Work on high-impact projects that help protect businesses and consumers from fraud and financial crime
  • Collaborate with a talented and diverse team of experts in AI, machine learning, and data science
  • Grow your career in a flexible and supportive work environment
  • Receive a competitive compensation and benefits package
  • Work remotely (eastern time zone preferred)

Apply