1

Statistics Validator Jobs in Minnesota (NOW HIRING)

The project will also likely include validation of code from the internal statistician. Position description: The Senior Statistician will be responsible for statistical aspects of study design and ...

... statistical analysis software, manufacturing equipment with embedded software) used in GxP ... Ensure validation activities are compliant to internal quality system requirements, and applicable ...

... statistical analysis software, manufacturing equipment with embedded software) used in GxP ... Ensure validation activities are compliant to internal quality system requirements, and applicable ...

... validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ... introductory statistics-based ML through advanced deep learning and deployment. * Effective ...

... validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ... introductory statistics-based ML through advanced deep learning and deployment. * Effective ...

... validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ... introductory statistics-based ML through advanced deep learning and deployment. * Effective ...

next page

Showing results 1-20

Statistics Validator information

What are Statistics Validators?

Statistics Validators are professionals who verify the accuracy, integrity, and reliability of statistical data and analyses. They review datasets, methodologies, and statistical outputs to ensure that findings are valid and meet relevant standards. Their work is crucial in research, government, and industry settings, where credible data is essential for decision making. By checking for errors, inconsistencies, and biases, Statistics Validators help maintain the quality and trustworthiness of statistical information.

What are the primary challenges a Statistics Validator faces when ensuring data integrity within a project?

Statistics Validators often encounter challenges related to data quality, such as incomplete datasets, inconsistent formats, or errors introduced during data collection and entry. They must meticulously review data sources, cross-check results, and ensure that statistical methodologies are correctly applied. Collaboration with data analysts, researchers, and IT teams is essential to resolve discrepancies and maintain high data standards. Staying up-to-date with industry best practices and regulatory requirements also plays a crucial role in overcoming these challenges.

What is the difference between Statistics Validator vs Data Analyst?

AspectStatistics Validator
Required CredentialsTypically a degree in statistics, mathematics, or related field; certifications like CAP or ASA are common
Work EnvironmentPrimarily office-based, working with data validation processes, quality assurance, and compliance
Employer & IndustryFinancial institutions, research organizations, government agencies, and data-driven companies
Comparison with Data Analyst

The main difference between a Statistics Validator and a Data Analyst lies in their focus. A Statistics Validator specializes in verifying the accuracy and integrity of statistical data, ensuring compliance with standards. In contrast, a Data Analyst interprets data to generate insights and support decision-making. While both roles require strong statistical knowledge, the validator emphasizes quality assurance, whereas the analyst emphasizes data interpretation and reporting.

What are the key skills and qualifications needed to thrive as a Statistics Validator, and why are they important?

To thrive as a Statistics Validator, you need a strong background in statistics, data analysis, and quality assurance, often supported by a degree in statistics, mathematics, or a related field. Familiarity with statistical software such as R, SAS, or SPSS, as well as proficiency in data validation frameworks and reporting tools, is typically required. Attention to detail, critical thinking, and strong communication skills help ensure the accuracy and clarity of validated data. These skills and qualities are crucial for maintaining data integrity, supporting decision-making, and upholding the credibility of statistical results.
What are popular job titles related to Statistics Validator jobs in Minnesota? For Statistics Validator jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Statistics Validator jobs in Minnesota look for? The top searched job categories for Statistics Validator jobs in Minnesota are:
What cities in Minnesota are hiring for Statistics Validator jobs? Cities in Minnesota with the most Statistics Validator job openings:
Infographic showing various Statistics Validator job openings in Minnesota as of June 2026, with employment types broken down into 6% Internship, 56% Full Time, 19% Part Time, 13% Temporary, and 6% Contract. Highlights an 94% In-person, and 6% Hybrid job distribution.
Validator Quantitative Specialist

Validator Quantitative Specialist

US Bank

Minneapolis, MN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


U.S. Bank rating

8.2

Company rating: 8.2 out of 10

Based on 345 frontline employees who took The Breakroom Quiz

38th of 141 rated banks


Job description

At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at-all from Day One.

Job Description

This position is an individual contributor role residing within the Bank's Second Line of Defense Risk Management and Compliance organization. Specifically, this position supports the Model Risk Management ("MRM") program at the Bank. The overall MRM program is designed to provide governance and control around impactful institutional models per the Bank's Model Risk Management Policy and Standards, and in adherence to applicable Regulatory Guidance.

The individual in this position works with Model Owners and Developers to validate models related to the Bank's Compliance and Financial Crimes groups, which can include Anti-Money Laundering (AML), Cybersecurity, Economic Sanctions/OFAC, and Fair Lending. The Analyst may also interface with key stakeholders, regulators, and internal auditors to discuss the justification and reasoning behind various validation and review outcomes.

During validation, the Analyst will independently challenge the model's conceptual framework and methodology, data integrity and usage, implementation framework, process/governance, ongoing performance, etc. The Analyst will generate reporting to document and present observations made to model owners and developers for consideration, with any material concerns or weaknesses identified. Any items that require corrective actions to be taken by the model risk owners with then be tracked by the Analyst to remediation.

Basic Qualifications
- Bachelor's degree in a quantitative field, and five or more years of relevant experience
OR
- MA/MS in a quantitative field, and three or more years of related experience
OR
- PhD in a quantitative field, and less than two years of related experience

Preferred Skills/Experience

  • Self-motivated worker and comfortable working with varying levels of guidance.

  • Strong mathematical and statistical modeling or model validation experience.

  • Advanced understanding of applicable compliance laws, regulations, financial services, and regulatory trends that affect assigned line of business.

  • Prior exposure to validation or development of models across BSA/AML, Cybersecurity, Fair Lending, Economic Sanctions, etc.

  • An ability to build strong relationships with stakeholders across multiple levels (e.g., senior leadership, teammates, etc.), with different analytical backgrounds, and various model development/validation experience.

  • Working knowledge of various Machine Learning methods, with working knowledge/experience.

  • Use of AI tools as part of regular workflow

  • Excellent verbal and written communication skills are a necessity (ability to explain complex ideas in simple, non-technical language).

  • Able to perform complex mathematical analysis utilizing various statistical and mathematical methods or techniques including.

  • Understanding of foundational theories and methodologies of varying structural complexities, including (but not limited to) multi-layered rule-based algorithms; standard statistical methods for the identification of outlier events; linear or logistic regression; natural language processing (NLP), and machine learning methods such as random forest, gradient boosting techniques, or other ensemble techniques.

  • Ability to challenge either custom built or third-party proprietary vendor models.

  • Can independently design and perform analytical tests, generate reporting that clearly articulates validation considerations and outcomes, and/or perform independent research related to usage of advanced quantitative models.

  • Can generate other professional-level products such as presentations, memos, etc., in support of day-to-day functions associated with the MRM program.

  • Able to retrieve, analyze and interpret data from various sources (internal and external).

  • Can aggregate data from various databases to facilitate statistical analyses as part of independent validation.

  • Can interpret results from statistical analyses performed and effectively communicate the results, with any associated conclusions, to various stakeholders.

  • Able to read, understand, and interpret applicable internal MRM policies and regulatory rules/guidance to confirm compliance.

LOCATION EXPECTATIONS: This role requires working from a U.S. Bank Location three (3) or more days per week.

If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to ourdisability accommodations for applicants.

Benefits:

Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:

  • Healthcare (medical, dental, vision)

  • Basic term and optional term life insurance

  • Short-term and long-term disability

  • Pregnancy disability and parental leave

  • 401(k) and employer-funded retirement plan

  • Paid vacation (from two to five weeks depending on salary grade and tenure)

  • Up to 11 paid holiday opportunities

  • Adoption assistance

  • Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

Review our full benefits available by employment status here.

U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.

E-Verify

U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about theE-Verify program.

The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $105,400.00 - $124,000.00

U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.

Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.

Posting may be closed earlier due to high volume of applicants.


What U.S. Bank employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


U.S. Bank logo

About U.S. Bank

Sourced by ZipRecruiter

U.S. Bank is a reputable and established financial institution that plays a significant role in the banking sector. With a history spanning over 150 years, U.S. Bank has built a strong foundation of trust and reliability. As a comprehensive bank, they offer a wide array of financial products and services to cater to the diverse needs of their customers, including individuals, businesses, and communities. Customer satisfaction is of utmost importance to U.S. Bank. They prioritize delivering exceptional service and fostering long-term relationships with their clients. Through their extensive network of branches and advanced digital banking platforms, U.S. Bank ensures convenient access to their services, empowering customers to manage their finances efficiently and securely.

Industry

Banking and credit intermediation

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

Year founded

1863

Social media