ZipRecruiter

Log In

1

Model Validation Analyst Jobs in California (NOW HIRING)

Patelco Credit Union

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 ...

Patelco Credit Union

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 ...

Autodesk

Data Scientist, FP&A Solutions

Ontario, CA · On-site +1

Partner with FP&A and business leaders to identify opportunities where data science and advanced ... Establish appropriate model validation, monitoring, documentation, and data-quality controls

Long Wall

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.

previous page

Showing results 41-60

All JobsModel Validation Analyst JobsModel Validation Analyst Jobs in California

Model Validation Analyst information

See California salary details

$14

$30

$54

How much do model validation analyst jobs pay per hour?

As of Sep 11, 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 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 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 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.

How much does a Model Validation Analyst make?

A Model Validation Analyst typically earns between $70,000 and $120,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in risk management or financial modeling may have higher salaries, often supplemented with bonuses and benefits.

What does a model validation analyst do?

A model validation analyst evaluates and verifies the accuracy, reliability, and performance of financial or statistical models used in risk management, credit, or trading. They review model assumptions, conduct testing, and ensure compliance with regulatory standards, often using tools like SAS or R. This role requires strong analytical skills and attention to detail to prevent model risk and support decision-making.

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:

Model Validation Analyst jobs near you
Infographic showing various Model Validation Analyst job openings in California as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $64,148 per year, or $30.8 per hour.

Senior Staff Fraud and Risk Analyst

Mountain View, CA • On-site

Intuit
Computer and Electronic Product Manufacturing • 5 - 10K employees
Learn more about Intuitexternal

Full-time

Posted 18 days ago

Intuit rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

Job description

Intuit is a global platform company that is on a mission to power prosperity worldwide for consumers, small and mid-market businesses and the self-employed. To achieve this, the Fintech Risk organization is looking for a strong Senior Staff Fraud and Risk Analyst to strengthen our first line of defense risk and controls program within Risk Governance.
As a Senior Staff Fraud and Risk Analyst, you will partner with a wide range of cross-functional teams to understand and document our risks and controls, monitor and test the effectiveness of risk controls, and/or validate models to ensure a strong first line of defense control environment. You will deep dive into data and business processes and interact with leaders to showcase end-to-end controls at various stages of the customer lifecycle, control effectiveness, and/or model performance. More importantly, you will drive the transformation of governance work to unlock the power of data and technologies to better serve our business and customers.
Responsibilities
  • Understand business processes, risks, and controls quickly and in-depth with a focus on assessing and documenting risks and controls for new offerings and AI-focused initiatives while building strong relationships with stakeholders in Product, Policy, Data Science, Operations, Accounting, and Compliance
  • Develop strong AI risk governance frameworks with expansion-ready controls and oversight guidelines to enable successful AI-focused policy and operational Fintech Risk initiatives
  • Drive risk and control assessments, including documentation of process narratives, flows, and control definitions that mitigate risk to be maintained within a GRC tool
  • Conduct and/or participate in detailed walkthroughs and inspection testing with cross-functional teams to establish controls and determine effectiveness, identify gaps, and propose recommendations
  • Identify, evaluate, and document testing of controls and/or independent validation of models, systematically retaining documents that substantiate testing and validation results according to plans
  • Develop polished dashboards and visualization for daily control monitoring capabilities to ensure business processes are working in compliance with risk policies
  • Retrieve, analyze, and interpret data from various sources to determine conclusions and/or recommendations
  • Deep-dive into problems and resolve issues to drive conversations forward across teams independently with meaningful business outcomes
  • Drive remediation efforts, create and track action plans, and support the timely resolution of issues to mitigate control findings or deficiencies with stakeholder groups
  • Document and communicate concisely and regularly to non-technical audiences, both in verbal and written presentations
  • Create procedures, dashboards, alerts, scripts, AI skills, and other automations leveraging AI and other techniques to increase efficiency and productivity in risk governance processes
  • Perform insightful analyses of complex processes or requirements highlighting key trends and areas of focus and demonstrate a strong understanding of their association to risk and controls, policies, and/or models
  • Lead and shape functional strategy with proactive strategic initiative development leveraging AI at the business unit level and drive system migrations for the broader program
  • Operate independently in ambiguous environments and develop scalable frameworks and analytics capabilities that move the needle at the business unit level
  • Provide guidance and mentorship to team members across the team to grow their skills and capabilities
  • Follow industry trends to develop strategic solutions that are best-in-class and meet industry standards from a risk governance perspective

Qualifications
  • 10+ years of relevant business experience including Risk, Finance, Compliance, Audit, or other related subject areas within a fintech, payment processing, lending, or online banking operations organization
  • Bachelor's degree (Master's degree preferred) in STEM, Business, Finance, Economics, or related field
  • Advanced experience with R, Python, and advanced SQL skills and visualization tools such as Quicksight, Tableau, or others
  • Advanced experience with both AI skill development and oversight of AI-focused initiatives from a risk governance perspective
  • Clear understanding of risk and controls management, monitoring, testing, and/or model validation methodologies
  • Strong project and time management skills with ability to lead, multi-task, and prioritize multiple workstreams independently while delivering effective results
  • Outstanding communication skills with the ability to influence decision makers and build consensus with teams
  • Team player with proven relationship-building skills and comfortable interacting with different levels of leadership throughout the organization independently, including executive leadership
  • Knowledge of statistical methods, techniques, and formulas to test and determine the reliability and soundness of results
  • Experience and passion with automating manual process and streamlining work systematically
  • Advanced analytical mindset, business acumen, and a drive/curiosity for continuous learning
  • Familiarity with machine learning and artificial intelligence models; knowledge of both theory and application to different use cases is a plus
  • Ability to independently demonstrate strong execution and operational excellence, customer-centric outcomes, and acceleration of teams
  • Prior leadership and strategy development experience
  • Experience in Fintech with a focus on risk and controls from a money movement perspective is preferred

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
The expected base pay range for this position is:
Mountain View $199,500 - $270,000

What Intuit employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply