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Model Validation Analyst Jobs in California (NOW HIRING)

SR Financial Analyst

Dublin, CA · On-site

$96K - $119K/yr

Lead model validation and process documentation efforts on behalf of the finance team * Oversee the monthly maintenance and analysis of budget software; make recommendations regarding income and ...

SR Financial Analyst

Dublin, CA · On-site

$96K - $119K/yr

Lead model validation and process documentation efforts on behalf of the finance team * Oversee the monthly maintenance and analysis of budget software; make recommendations regarding income and ...

Job Title: Validation Engineer IV Location: Santa Clara, CA Duration: Long-Term Role Overview ... Develop and improve test methods and models * Conduct root cause analysis and resolve design/test ...

Flight Analyst

Long Beach, CA · On-site

$105K - $170K/yr

Flight Analyst DESCRIPTION As a Flight Analyst I, you will perform a mix of trajectory analysis and ... Support post-flight reconstruction through telemetry data reduction and model validation.

Flight Analyst

Long Beach, CA · On-site

$105K - $170K/yr

Flight Analyst DESCRIPTION As a Flight Analyst I, you will perform a mix of trajectory analysis and ... Support post-flight reconstruction through telemetry data reduction and model validation.

Flight Analyst

Long Beach, CA · On-site

$105K - $170K/yr

Flight Analyst DESCRIPTION As a Flight Analyst I, you will perform a mix of trajectory analysis and ... Support post-flight reconstruction through telemetry data reduction and model validation.

... models (BEV based) against real-world edge cases. If you love breaking complex AI systems to make ... Root-Cause Analysis: Partner closely with the Perception ML team to debug validation failures ...

Showing results 41-60

Model Validation Analyst information

See California salary details

$14

$30

$54

How much do model validation analyst jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for model validation analyst in California is $30.84, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $37.98 per hour, depending on experience, location, and employer.

What is a model validation analyst?

Model Validation Analysts are professionals who assess and validate mathematical models used by organizations, especially in finance and risk management. Their primary responsibility is to ensure that these models are accurate, reliable, and compliant with regulatory standards. They review model assumptions, methodologies, and data inputs, as well as perform independent testing and documentation. By doing so, they help organizations manage risks and make informed decisions based on trustworthy model outputs.

What are common challenges faced by model validation analysts, and how can they be addressed?

Model Validation Analysts often encounter challenges such as evaluating complex models with limited documentation, managing tight deadlines for validation reports, and staying current with evolving regulatory requirements. These challenges can be addressed by maintaining clear communication with model developers, utilizing standardized validation frameworks, and participating in ongoing training or workshops. Building strong analytical and documentation skills also helps ensure thorough and effective model assessments.

What skills and qualifications are needed to be a model validation analyst?

To thrive as a Model Validation Analyst, you need strong quantitative analysis skills, a background in statistics or mathematics, and typically a degree in a relevant field such as finance, economics, or data science. Familiarity with statistical software (e.g., SAS, R, Python), risk modeling tools, and knowledge of regulatory requirements are essential. Attention to detail, critical thinking, and effective communication skills help you interpret model results and convey findings to stakeholders. These competencies ensure robust model risk management, regulatory compliance, and informed decision-making within financial institutions.

What is the difference between Model Validation Analyst vs Quantitative Analyst?

AspectModel Validation AnalystQuantitative Analyst
Required CredentialsBachelor's in finance, statistics, or related field; often certifications like CFA or FRMBachelor's or higher in finance, mathematics, or related; CFA or FRM common
Work EnvironmentFinancial institutions, risk management, model validation teamsInvestment banks, asset management firms, hedge funds
Employer & Industry UsageUsed in risk management, model validation departmentsUsed in trading, investment analysis, portfolio management

The Model Validation Analyst primarily focuses on verifying and validating financial models to ensure accuracy and compliance within risk management teams. In contrast, Quantitative Analysts develop and implement complex models for trading and investment strategies. While both roles require strong quantitative skills and similar certifications, their core responsibilities and work environments differ significantly.

What are popular job titles related to Model Validation Analyst jobs in California? For Model Validation Analyst jobs in California, the most frequently searched job titles are:
What job categories do people searching Model Validation Analyst jobs in California look for? The top searched job categories for Model Validation Analyst jobs in California are:
Infographic showing various Model Validation Analyst job openings in California as of August 2026, with employment types broken down into 2% As Needed, 71% Full Time, 22% Part Time, 3% Temporary, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $64,148 per year, or $30.8 per hour.

Sr Software automation test engineer /US-RD

Info Way Solutions

San Diego, CA • On-site

$117K - $152K/yr

Full-time

Re-posted 25 days ago


Job description

Job Summary:
Info Way Solutions is seeking a Senior Software Automation Test Engineer to join their team. The role involves executing both automated and manual software testing activities, implementing test strategies, and collaborating with scrum teams to ensure high-quality deliverables.
Responsibilities:
• Executes software testing activities, both automated and manual, throughout the development cycle within agile or scrum teams, ensuring high-quality deliverables that meet customer needs.
• Offers expertise in implementing software test strategies and initiatives at the feature and system levels, contributing to the overall quality assurance process.
• Reviews functional and non-functional requirements, stories, and features to ensure accuracy and testability, providing valuable insights to enhance the testing process.
• Collaborates with scrum teams and other stakeholders on test planning, participating in testing, planning, and demo activities to ensure comprehensive test coverage.
• Executes a diverse range of testing methodologies, encompassing functional, performance, load, and reliability testing, to meticulously validate the software's functionality and robustness across different usage scenarios and conditions.
• Utilizes automation tools, simulation models, test frameworks, and scripting languages to automate tests and streamline the testing process, improving efficiency and accuracy.
• Documents meticulously crafted test plans, protocols, and reports, maintaining thorough records of testing activities and outcomes to facilitate comprehensive reference and analysis, thereby ensuring transparency and accountability throughout the testing process.
• Supports design changes by rigorously assessing their potential impact on product quality, strategizing and implementing appropriate testing measures to uphold product integrity and mitigate risks effectively.
• Exhibits a deep understanding of data requirements and AI model metrics, actively contributing to the validation and testing processes of AI-based products and solutions, preparing the AI Model validation dataset.
• Harnesses valuable insights from customer knowledge to inform testing strategies and prioritize test scenarios effectively, aligning testing efforts closely with customer expectations and needs to enhance product usability and satisfaction.
Qualifications:
Required:
• Minimum required Education: Bachelor's / Master's Degree in Computer Science, Software Engineering, Information Technology or equivalent.
• Minimum required Experience: Minimum 2 years of experience with Bachelor's in areas such as Software Development, Software Design and Architecture, Testing and Quality Assurance or equivalent OR no prior experience required with Master's Degree.
• Minimum required Certification: ISTQB Advanced
Preferred:
• Scripting & Automation
• Agile Methodology
• CI/CD
• Business Acumen
• Data Analysis & Interpretation
• Requirements Analysis
• Stakeholder Management
• Risk Management
• Software Testing & Validation
• Test Execution
• Test Planning
• Documentation & Reporting
• Process Improvements
• AI Model Validation
• System Integration Testing (SIT)
Company:
Founded and incorporated in 2012 , Info Way Solutions is an IT services and consulting company headquartered in Fremont , CA. Founded in 2012, the company is headquartered in Fremont, USA, with a team of 501-1000 employees. The company is currently Late Stage.