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Model Validation Manager Jobs in Minnesota (NOW HIRING)

Lead Systems Engineer

Saint Paul, MN · On-site

$150K - $220K/yr

... management, and verification and validation efforts. This role will include complex and multi-disciplinary problem solving. This position involves fostering the integration of Model-Based Systems ...

$60K - $88K/yr

Three (3) years professional experience in environmental project management sufficient to track and ... The job offer is contingent on confirmation of a valid driver's license AND a satisfactory DLR ...

AI Product Manager Location: Chanhassen, MN (Hybrid - Onsite & Remote) Type: Contract | Full-Time ... Collaborate with data scientists to validate models and guide experimentation. * Own the AI product ...

Anaplan is seeking a passionate, experienced Senior Manager, Product Management to lead a team ... Leverage your deep Anaplan model-building expertise to guide your team in validating complex ...

... and validate make, model, year, and condition where applicable. * Other duties as required and ... Time management * Proficient with modern technology and AI-assisted tools (image recognition, asset ...

Showing results 41-60

Model Validation Manager information

See Minnesota salary details

$46.5K

$103.2K

$157.2K

How much do model validation manager jobs pay per year?

As of Sep 4, 2026, the average yearly pay for model validation manager in Minnesota is $103,245.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,000.00 and $129,300.00 per year, depending on experience, location, and employer.

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 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.

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

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

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

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

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

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

Infographic showing various Model Validation Manager job openings in Minnesota as of August 2026, with employment types broken down into 86% Full Time, 9% Part Time, and 5% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $103,245 per year, or $49.6 per hour.

Associate Quality Analyst

UnitedHealth Group

Eden Prairie, MN • On-site

$58K - $105K/yr

Full-time

Retirement

Re-posted 16 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

191st of 898 rated healthcare providers


Job description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.   

Primary Responsibilities:

  • Actively participate in walk-through, inspection, reviews, and user group meetings for quality assurance
  • Develop test cases and prioritize testing activities
  • Execute all the test cases and report defects, define severity and priority for each defect
  • Carry out regression testing every time changes are made to the code to fix defects
  • Prepare the status report for testing activities
  • Develop an in-depth system and application knowledge to provide higher test quality and coverage
  • Constantly working towards test automation
  • Collaborate as part of the scrum team in grooming user stories and development of acceptance criteria for the user stories

Working with SQL, ETL QA, and automation:

  • Share and communicate ideas both verbally and in writing to staff, business sponsors, managers, and technical resources in clear concise language that is appropriate to the target audience
  • Participate in communities of practice to share knowledge, learn, and innovate
  • Research and implement tools that support faster delivery with high quality
  • Develop innovative approaches, Hands on Testing & validation
  • Using AI enabled tools for testing, Copilot for daily project activities
  • User: Leverage enterprise-approved AI tools to enhance productivity and innovation by streamlining workflows and automating repetitive tasks. Evaluate emerging trends to drive continuous improvement and strategic innovation

You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

  • Bachelor's Degree in Computer Science, Information Systems, Engineering, or related field
  • 2 years of experience in QA/testing with a focus on data warehouse, ETL, or BI testing
  • 2 years of experience with SQL skills for data validation and test automation
  • 2 years of experience with QA tools like HP ALM, JIRA, ADO or any test management tool
  • 2 years of experience in writing test cases and executing manual and automated tests

Preferred Qualifications: 

  • Advanced Tools & Technologies:
    Strong understanding of Bronze/Silver/Gold data architecture in modern data platforms (e.g., Databricks, Snowflake, Azure Synapse)
  • SQL Certification
  • Experience with cloud data platforms (e.g., Snowflake)
  • Familiarity with data visualization tools (e.g., Tableau, Power BI)
  • Scripting experience in Python or Shell for test automation
  • Experience in domains like Medicaid (Healthcare), Claims and Providers
  • Exposure to AI/ML model validation or testing data pipelines that support machine learning workflows
  • ISTQB or equivalent QA certification
  • Familiarity with data warehouse concepts (star/snowflake schema, fact/dimension tables)
  • Strong understanding of data quality, data profiling, and reconciliation techniques

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $58,800 to $105,000 annually based on full-time employment. We comply with all minimum wage laws as applicable.  

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location, and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups, and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

 

UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. 

UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

#RPO #RED


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