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Model Validation Manager Jobs in California (NOW HIRING)

Jobsbridge

Sr Quant QA Engineer

Pasadena, CA

Create, execute, track and report on model validation, functional and integration test cases of highly quantitative risk management applications. Validate business rules in calculations and ...

NetApp

Anaplan Model Builder

San Jose, CA

... and quota management, forecasting, and operational reporting. You will collaborate with ... Support model testing, validation, and deployment activities to ensure solution quality and ...

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All JobsModel Validation JobsModel Validation Manager JobsModel Validation Manager Jobs in California

Model Validation Manager information

See California salary details

$46.9K

$104K

$158.4K

How much do model validation manager jobs pay per year?

As of Aug 15, 2026, the average yearly pay for model validation manager in California is $104,035.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,500.00 and $130,300.00 per year, depending on experience, location, and employer.

How does a model validation manager collaborate with other teams during the model validation process?

A Model Validation Manager works closely with model developers, risk management teams, and internal audit to ensure models meet regulatory and business standards. Collaboration often involves reviewing model documentation, discussing model assumptions and methodologies, and providing feedback for improvements. Effective cross-functional communication is essential, as validation managers must balance technical analysis with regulatory compliance and business objectives. Regular meetings and clear reporting lines help facilitate this collaboration, ensuring that model risks are identified and addressed promptly.

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

AspectModel Validation ManagerQuantitative Analyst
CredentialsTypically requires advanced degrees in finance, mathematics, or statistics; certifications like CFA or FRM are commonOften holds degrees in finance, economics, or mathematics; certifications like CFA are also common
Work EnvironmentWorks in risk management, model validation teams within banks or financial institutionsWorks in trading, investment analysis, or risk departments within financial firms
Industry UsagePrimarily in banking, asset management, and financial services for model risk assessmentAcross investment firms, hedge funds, and banks for market analysis and trading strategies

The Model Validation Manager focuses on reviewing and validating financial models to ensure accuracy and compliance, often working within risk management teams. In contrast, a Quantitative Analyst develops and applies mathematical models for trading, investment, or risk purposes. While both roles require strong quantitative skills and similar credentials, their core responsibilities and work environments differ significantly.

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

To thrive as a Model Validation Manager, you need strong quantitative analysis skills, knowledge of risk management, and an advanced degree in mathematics, statistics, finance, or a related field. Familiarity with technical tools such as Python, R, SAS, and model risk management frameworks, as well as experience with regulatory compliance, is typically required. Exceptional problem-solving, communication, and stakeholder management abilities are important soft skills for this role. These skills ensure effective validation of financial models, regulatory compliance, and clear communication of complex findings to non-technical audiences.

What does a model validation manager do?

A Model Validation Manager is responsible for overseeing the validation of financial, risk, or predictive models within an organization. Their primary duties include ensuring that models are accurate, reliable, and compliant with regulatory requirements. They lead teams that assess model performance, identify potential weaknesses, and recommend improvements. This role helps maintain the integrity of models used in decision-making processes, particularly in industries like banking and finance.

What are the most commonly searched types of Model Validation jobs in California?

The most popular types of Model Validation jobs in California are:

What are popular job titles related to Model Validation Manager jobs in California?

For Model Validation Manager jobs in California, the most frequently searched job titles are:

What job categories do people searching Model Validation Manager jobs in California look for?

The top searched job categories for Model Validation Manager jobs in California are:

What cities in California are hiring for Model Validation Manager jobs?

Cities in California with the most Model Validation Manager job openings:

Model Validation Manager jobs near you
Infographic showing various Model Validation Manager job openings in California as of August 2026, with employment types broken down into 83% Full Time, and 17% Temporary. Highlights an 66% In-person, 17% Hybrid, and 17% Remote job distribution, with an average salary of $104,035 per year, or $50 per hour.

Sr Quant QA Engineer

Jobsbridge

Pasadena, CA

Contractor

Re-posted 9 days ago

Job description

Company Description

Intelliswift Software, Inc

Job Description

Responsibilities will include: 

Work closely with quantitative developer, financial engineer, and system QA Engineer in transforming quantitative business requirements and use cases into test cases for model validation, functional, regression and integration testing. 

Create, execute, track and report on model validation, functional and integration test cases of highly quantitative risk management applications. 

Validate business rules in calculations and quantitative workflow; find, report and retest defects; execute end-to-end testing, integration and functional testing as assigned; track test case execution using Quality Center. 

Develop test strategies and test plans, ensure product quality, provide consulting on quality techniques, and ensure adherence to proper software development procedures. 

Estimate QA efforts, and develop testing strategy. Manage QA deliveries for assigned projects. 

Provide hands on testing support during QA phase and production validation 

Provide regular status reports to QA lead, QA manager and project manager. 

Be responsible for collecting raw data and QA metrics. 

Participate in project meetings to understand requirements and milestones. 


Requirements: 

Minimum 3 years software development related to quantitative, statistical and/or financial models. 

Minimum 2 years of experience programming in SAS; familiar with Base SAS, Macros, PROC SQL, and SAS Enterprise Guide. 

Minimum 3 years of model validation experience with highly quantitative applications. 

Evidence of ability to design and develop SAS programs. Experience developing and using automated unit testing and data validation. 

Must be proficient in Unix environments and ability to write complex SQL queries for validating and comparing large volumes of data between tables and schemas in Oracle/Sybase. 

Must have strong understanding of SDLC and QA's role during each phase 

Must have thorough understanding of different testing types including functional, regression, integration, UI, Backend, UAT, smoke, performance testing 

Must have ability to design and develop comprehensive test strategy, test plan and test cases 

Must have strong background in reviewing business and functional requirements in order to produce high level test strategy and test cases 

Must have good working knowledge of QC and other defect tracking systems ex) Jira 

Must have strong analytical and problem solving skills 

Must be able to work independently and be a good team player 

Must have ability to work in a highly demanding, fast paced environment managing multi projects simultaneously 

Must be knowledgeable with Windows OS platforms/Office applications ex) MS word, excel, project, etc. 

Must be knowledgeable of multi-tier architecture and networking 

B.S. or equivalent education in financial engineering is required.

Qualifications

Quantitative, statistical and/or financial models, SAS

Additional Information

Multiple Openings 

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About Jobsbridge Institute

Sourced by ZipRecruiter

Josbridge Institute is your one-stop destination for your Data, Cloud and Analytics learning needs, powered by Microsoft AI & Cloud platform. We offer a wide range of courses and programs, from foundational to advanced focusing on Data Analysis, Cloud Engg, AI-ML required for Microsoft certification. Our courses are designed to equip you with the practical skills and knowledge required for success in the field of cloud computing, AI and Data Analytics. With our experienced faculty, applied learning and comprehensive curriculum, we are committed to helping you achieve your career goals. Students seeking Internship (CPT & OPT) may apply.

Industry

Business schools and computer and management training

Company size

11 - 50 Employees

Headquarters location

Campbell, CA, US

Year founded

2022

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