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Quantitative Model Validation Analyst Jobs in Minnesota

... or other analytical/quantitative and a minimum of three years of professional or research ... Demonstrated ability to develop predictive models to address various business problems through ...

Senior Data Scientist

Minnetonka, MN ยท On-site

$91K - $163K/yr

This role focuses on hands-on analysis, modeling, and stakeholder support, contributing to key ... Bachelor's Degree in a quantitative field such as Statistics, Health Economics, Mathematics ...

Senior Data Scientist

Minnetonka, MN ยท Remote

$91K - $163K/yr

This role focuses on hands-on analysis, modeling, and stakeholder support, contributing to key ... Bachelor's Degree in a quantitative field such as Statistics, Health Economics, Mathematics ...

... modeling, operations research, machine learning, or data mining techniques. May provide ... or other analytical/quantitative and a minimum of three years of professional or research ...

... modeling, operations research, machine learning, or data mining techniques. May provide ... or other analytical/quantitative and a minimum of three years of professional or research ...

Execute upon all aspects of catastrophe modeling, including data preparation and validation, portfolio analysis and postprocessing, reporting of results, data visualization and mapping. * Be ...

Validation Engineer

Jackson, MN ยท On-site

$54K - $100K/yr

Analyze collected data and write reports to effectively communicate and archive technical ... You will work with your wonderful AGCO colleagues in the Onsite model from Jackson (USA Jackson)

Showing results 41-60

Quantitative Model Validation Analyst information

See Minnesota salary details

$55.3K

$131.1K

$235.1K

How much do quantitative model validation analyst jobs pay per year?

As of Aug 10, 2026, the average yearly pay for quantitative model validation analyst in Minnesota is $131,121.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,200.00 and $142,500.00 per year, depending on experience, location, and employer.

What is a quantitative model validation analyst?

Quantitative Model Validation Analysts are professionals who assess and validate financial models used by banks and financial institutions. They ensure that these models are accurate, reliable, and comply with regulatory standards. Their work involves testing model assumptions, reviewing model methodologies, and analyzing model outputs to identify potential risks or weaknesses. By providing an independent review, they help organizations maintain the integrity and performance of their risk management and financial forecasting tools.

What are some typical challenges faced by quantitative model validation analysts when assessing complex financial models?

Quantitative Model Validation Analysts often encounter challenges such as interpreting intricate model methodologies, ensuring data integrity, and effectively communicating technical findings to stakeholders who may not have a quantitative background. Additionally, staying current with evolving regulatory requirements and industry standards can be demanding. Collaborating closely with model developers, risk managers, and auditors is crucial to address model limitations and propose actionable improvements, making strong communication and analytical skills essential for success in this role.

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

AspectQuantitative Model Validation AnalystQuantitative Risk Analyst
CredentialsTypically requires a degree in finance, mathematics, or statistics; certifications like CFA or FRM are commonSimilar credentials; often holds CFA, FRM, or related certifications
Work EnvironmentFocuses on validating models used in risk management, trading, or credit scoring within financial institutionsAnalyzes and manages financial risk, including market, credit, and operational risks in banking or investment firms
Industry UsageCommonly employed in banking, asset management, and insurance sectorsWidely used in banking, hedge funds, and financial services

The main difference is that Quantitative Model Validation Analysts focus on testing and validating models to ensure accuracy and compliance, while Quantitative Risk Analysts assess and manage overall financial risks. Both roles require strong quantitative skills and often overlap in credentials and work environments, but their core responsibilities differ in scope and focus.

What are the key skills and qualifications needed to thrive as a quantitative model validation analyst, and why are they important?

To thrive as a Quantitative Model Validation Analyst, you need a strong background in quantitative finance, statistics, and programming, typically supported by a degree in mathematics, finance, or a related field. Familiarity with statistical software such as Python, R, MATLAB, and model risk management frameworks is essential, and certifications like FRM or CFA are advantageous. Analytical thinking, attention to detail, and effective communication skills set top performers apart by enabling them to explain complex model risks and recommendations clearly. These skills and qualities are vital for ensuring the accuracy, reliability, and regulatory compliance of financial models within an organization.
What are popular job titles related to Quantitative Model Validation Analyst jobs in Minnesota? For Quantitative Model Validation Analyst jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Quantitative Model Validation Analyst jobs in Minnesota look for? The top searched job categories for Quantitative Model Validation Analyst jobs in Minnesota are:
What cities in Minnesota are hiring for Quantitative Model Validation Analyst jobs? Cities in Minnesota with the most Quantitative Model Validation Analyst job openings:
Infographic showing various Quantitative Model Validation Analyst job openings in Minnesota as of August 2026, with employment types broken down into 2% As Needed, 86% Full Time, 10% Part Time, and 2% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $131,121 per year, or $63 per hour.

Senior Analytics Analyst - Healthcare Data

Surescripts

Minneapolis, MN โ€ข Hybrid

$89K - $113K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 26 days ago


Job description

Surescripts serves the nation through simpler, trusted health intelligence sharing, in order to increase patient safety, lower costs and ensure quality care. We deliver insights at critical points of care for better decisions - from streamlining prior authorizations to delivering comprehensive medication histories to facilitating messages between providers.

Job Summary

The Senior Analytics Analyst - Healthcare Data independently leads analytics workstreams that produce actionable insights, enable product decisions, and strengthen commercial narratives across Surescripts solutions. This role owns analysis from problem framing through delivery, applying strong statistical and analytical judgment to large-scale healthcare transaction data. The Senior Analytics Analyst serves as a reliable cross-functional partner, elevates analytic rigor, and mentors junior analysts while remaining hands-on.

In addition to supporting product and business decision-making, this role contributes to customer-facing analytics initiatives by developing insights, reporting, and analytical narratives that help internal stakeholders communicate the value of Surescripts solutions.

The Senior Analytics Analyst partners with Product, Commercial, and Analytics leaders to translate complex healthcare data into scalable insights that support customer engagements, sales enablement activities, recurring business reviews, and self-service analytics adoption.

Responsibilities

  • Own end-to-end analytics deliverables by scoping problems, defining success metrics, developing analytic approaches, executing analyses and models, and presenting findings and recommendations to technical and business stakeholders.

  • Develop and deliver complex descriptive and diagnostic analyses while contributing to predictive and prescriptive analytics efforts using appropriate methods, validation techniques, and sound analytical judgment.

  • Partner closely with Product, Commercial, Engineering, and Analytics teams to translate business, customer, and market needs into measurable questions, scalable analytic solutions, and actionable insights.

  • Produce executive-ready visualizations, reports, and data-driven narratives that communicate the business impact, value, and implications of Surescripts solutions for internal and external audiences.

  • Establish and maintain reusable analytic assets, standardized methodologies, datasets, reporting solutions, and documentation that improve scalability, consistency, and self-service analytics adoption.

  • Raise the team's quality bar through code reviews, quality assurance processes, methodology transparency, and continuous improvement of analytic practices.

  • Mentor colleagues through coaching, feedback, and guidance on analytic techniques, stakeholder communication, and effective insight delivery.

  • Support customer-facing initiatives, business reviews, and sales enablement efforts by presenting analytical findings, explaining methodologies and trends, and translating complex healthcare data into clear, actionable recommendations.

Qualifications

Basic Requirements

  • Bachelor's degree in Data Science, Statistics, Computer Science, Economics, Public Health, Epidemiology, Health Economics, or related field required.

  • 5+ years of experience in analytics roles, with demonstrated ownership of complex, multi-stakeholder analyses; healthcare analytics experience strongly preferred.

  • Advanced SQL proficiency and strong Python or R capabilities for data analysis and modeling.

  • Strong visualization, storytelling, and presentation skills using Tableau, Looker, or similar tools, including experience translating complex analytical findings into executive-ready insights for technical and non-technical audiences.

  • Proven ability to work with large datasets while applying sound validation, quality assurance, and reproducibility practices.

  • Experience supporting business, product, commercial, customer-facing, consulting, customer success, or healthcare solutions analytics initiatives and communicating data-driven recommendations to stakeholders.

  • Demonstrated ability to create executive-ready presentations, reports, and supporting materials that communicate business value through data.

  • Strong project management and prioritization skills with the ability to manage multiple analytics initiatives and deliver high-quality results in a dynamic environment.

  • Experience working with healthcare transaction data, pharmacy data, claims data, patient journey analytics, or other large-scale healthcare datasets.

Preferred Qualifications

  • Master's degree in a quantitative field preferred.

Surescripts embraces flexibility through its Flexible Hybrid Work model for most positions. This model allows employees to work virtually while still utilizing our offices as collaboration centers. With alignment and agreement from your leadership, you can come and go from the office as needed.

To be considered for employment, applicants must have a valid U.S. work authorization allowing work without restrictions with Surecripts in the U.S. At this time, we are unable to provide support or provide sponsorship for immigration benefits such as work visas. Additionally, we do not participate in academic training programs or work-study programs through an academic institution that require employer endorsement of F-1/CPT or F-1/STEM.

Why Wait? Apply Now


We're a midsize company. This means you're not just another employee ID number. Here, you can build real relationships and feel supported by truly awesome people with diverse backgrounds and talents in an innovative and collaborative work culture. We strive to create an environment where you can be yourself, share your ideas and work your way. We offer opportunities for employee development, as well as competitive compensation packages and extensive benefits.

At Surescripts, base pay is one part of our Total Rewards Package (which may also include bonus, benefits etc.) and is determined within a range. The base pay range for this position is $123,500 - $150,900 per year. Your base pay may vary within or outside of this range depending on a number of factors, including (but not limited to) your qualifications, skills, experience, and location.


Benefits include, but are not limited to, comprehensive healthcare (including infertility coverage), generous paid time off including paid childbirth and parental leave and mental health days, pet insurance, and 401(k) with company match and immediate vesting. To learn more, review the Keep You and Yours Healthy, Balancing Work and Life, and Where Talent Takes Shape links under the Better Benefits. Better Work. Better Life section of our careers site.

Physical and Mental Requirements

While performing duties of this job, an employee may be required to perform any, or all of the following: attend meetings in and out of the office, travel, communicate effectively (both orally and in writing), and be able to effectively use computers and other electronic and standard office equipment with, or without, a reasonable accommodation. Additionally, this job requires certain mental demands, including the ability to use judgement, withstand moderate amounts of stress and maintain attention to detail with, or without, a reasonable accommodation.

Surescripts is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate on the basis of race, color, religion, age, national origin, ancestry, disability, medical condition, marital status, pregnancy, genetic information, gender, sexual orientation, parental status, gender identity, gender expression, veteran status, or any other status protected under federal, state, or local law.