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Quantitative Model Validation Analyst Jobs in Nebraska

Senior Data Analyst

Ralston, NE

$77K - $98K/yr

Facilitate workshops and discussions to gather requirements and validate analytical outputs ... Experience with building and tuning custom AI models for analytics and reporting. * Previous ...

Senior Data Analyst

Grand Island, NE

$85K - $108K/yr

Facilitate workshops and discussions to gather requirements and validate analytical outputs ... Experience with building and tuning custom AI models for analytics and reporting. * Previous ...

Senior Data Analyst

Lincoln, NE · On-site

$74K - $94K/yr

Facilitate workshops and discussions to gather requirements and validate analytical outputs ... Experience with building and tuning custom AI models for analytics and reporting. * Previous ...

Senior Data Analyst

Omaha, NE

$82K - $103K/yr

Facilitate workshops and discussions to gather requirements and validate analytical outputs ... Experience with building and tuning custom AI models for analytics and reporting. * Previous ...

Operations Research Analyst

NE · On-site

$93K - $110K/yr

Perform quantitative and qualitative analysis of NC3 capabilities, including scenario-based ... Experience with Models Based System Engineering (MBSE) tools. Desired Qualifications: * Master ...

Operations Research Analyst

NE · On-site

$93K - $110K/yr

Perform quantitative and qualitative analysis of NC3 capabilities, including scenario-based ... Experience with Models Based System Engineering (MBSE) tools. Desired Qualifications: * Master ...

Operations Research Analyst

NE · On-site

$93K - $110K/yr

Perform quantitative and qualitative analysis of NC3 capabilities, including scenario-based ... Experience with Models Based System Engineering (MBSE) tools. Desired Qualifications: * Master ...

... of quantitative information and have a passion for high impact data storytelling. Essential ... Apply statistical and data-modeling techniques to answer business questions and support decision ...

... of quantitative information and have a passion for high impact data storytelling. Essential ... Apply statistical and data-modeling techniques to answer business questions and support decision ...

Most cases have quantitative and qualitative elements, though some will be more quantitative and ... Developing financial and economic models; * Analyzing large datasets; * Examining market and ...

Most cases have quantitative and qualitative elements, though some will be more quantitative and ... Developing financial and economic models; * Analyzing large datasets; * Examining market and ...

Most cases have quantitative and qualitative elements, though some will be more quantitative and ... Developing financial and economic models; * Analyzing large datasets; * Examining market and ...

Most cases have quantitative and qualitative elements, though some will be more quantitative and ... Developing financial and economic models; * Analyzing large datasets; * Examining market and ...

Most cases have quantitative and qualitative elements, though some will be more quantitative and ... Developing financial and economic models; * Analyzing large datasets; * Examining market and ...

Most cases have quantitative and qualitative elements, though some will be more quantitative and ... Developing financial and economic models; * Analyzing large datasets; * Examining market and ...

Showing results 21-40

Quantitative Model Validation Analyst information

See Nebraska salary details

$53.9K

$127.6K

$228.8K

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

As of Aug 18, 2026, the average yearly pay for quantitative model validation analyst in Nebraska is $127,645.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,300.00 and $138,700.00 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 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 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 popular job titles related to Quantitative Model Validation Analyst jobs in Nebraska?

For Quantitative Model Validation Analyst jobs in Nebraska, the most frequently searched job titles are:

What cities in Nebraska are hiring for Quantitative Model Validation Analyst jobs?

Cities in Nebraska with the most Quantitative Model Validation Analyst job openings:

Infographic showing various Quantitative Model Validation Analyst job openings in Nebraska as of August 2026, with employment types broken down into 2% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $127,645 per year, or $61.4 per hour.

$77K - $98K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 11 days ago


ALLO Fiber rating

7.5

Company rating: 7.5 out of 10

Based on 38 frontline employees who took The Breakroom Quiz

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Job description

At ALLO, we believe people are our biggest asset. Our team brings the ALLO mission to life because as local members of each community, we live, work, play, and volunteer right here with you. We're passionate about being involved and contributing to the success and progress of each of our GIG Communities.
We pursue these passions because ALLO leaders have created a workplace where folks are valued, ideas are heard, and leaders and teammates show up for each other at work and in life.

The Senior Data Analyst is a highly analytical and business-savvy individual contributor who acts as an internal expert and strategic partner to various business units. This role focuses on tackling complex business challenges by leveraging data for decision-making and delivering actionable analytical solutions. The Senior Data Analyst works closely with stakeholders to address assigned projects, guiding them through a data-driven process and often leading the technical execution of analytical work by collaborating with data engineers, data scientists, and other data analysts. A key part of this role is not only delivering insights but also proactively identifying and implementing process improvements to enhance efficiency and effectiveness. This is a critical role for driving data literacy and adoption throughout the company.

RESPONSIBILITIES:

  • Business Problem Framing & Solution Definition:

    • Proactively engage with business stakeholders (e.g., Marketing, Sales, Product, Operations, Finance) to understand their objectives, challenges, and data needs for assigned projects.

    • Translate vague business questions into clear, measurable analytical problems and hypotheses.

    • Scope and define analytical projects, outlining objectives, deliverables, timelines, and required resources.

    • Recommend the most appropriate analytical approaches and methodologies (e.g., descriptive, diagnostic, predictive, prescriptive analytics).

  • Data Analysis & Insight Generation:

    • Conduct in-depth data analysis using various tools and techniques to uncover trends, patterns, and insights.

    • Develop compelling narratives around data findings and present insights in a clear, concise, and actionable manner to diverse audiences.

    • Utilize advanced analytical techniques (e.g., statistical analysis, A/B testing design, segmentation) to answer critical business questions.

  • Stakeholder Engagement & Relationship Management:

    • Build strong, trusted relationships with business leaders and team members across the organization.

    • Facilitate workshops and discussions to gather requirements and validate analytical outputs.

    • Champion data-driven decision-making and enhance data literacy within business units.

    • Manage expectations and communicate progress, challenges, and outcomes effectively.

  • Tooling & Best Practices:

    • Stay abreast of industry trends, new analytical tools, and methodologies.

    • Advise on the selection and effective use of analytics and AI tools (e.g., BI platforms, statistical software, latest models and features).

    • Contribute to the continuous improvement of analytical processes and best practices within the Data & Analytics department.

EDUCATION/EXPERIENCE:

  • Bachelor's degree in Statistics, Mathematics, Data Science, Computer Science or a related quantitative field. Master's degree preferred.

  • 3+ years of experience in an analytical role, such as a Senior or Lead Data Analyst, Senior or Lead Business Analyst, or Data Scientist with a strong focus on stakeholder engagement and solution delivery.

SKILLS / KNOWLEDGE / ABILITIES:

  • Proven ability to translate complex business problems into analytical requirements and deliver actionable insights.

  • Strong proficiency in SQL for data extraction, manipulation, and analysis.

  • Experience with scripting languages for data analysis (e.g., Python, R).

  • Experience with data visualization and dashboarding in Looker.

  • Familiarity with AI agents and their role in delivering data analysis to non-technical stakeholders.

  • Demonstrated experience with statistical analysis and data interpretation.

  • Excellent communication, presentation, and storytelling skills, with the ability to articulate complex data insights to non-technical audiences.

  • Strong project management skills, with the ability to manage multiple priorities and deadlines.

  • Self-starter with a proactive approach to identifying and solving business problems.

  • Desire to be a team-player whether partnering with other data analysts or working with internal stakeholders.

  • Preferred qualifications:

    • Familiarity with GCP cloud data platforms and data warehousing concepts.

    • Experience with A/B testing design and analysis.

    • Experience with building and tuning custom AI models for analytics and reporting.

    • Previous experience in a consulting role (internal or external).

REQUIREMENTS:

  • Remain stationary for extended periods

  • Ability to communicate information

  • Ability to operate a computer

People are our passion. At ALLO, we don't treat you like a number. You're a human being.

Get ready to plug into the perks at ALLO:

  • Free internet? You bet. Plus, awesome discounts on other ALLO services.

  • Retirement Plan: The fiber future isn't the only one we care about. We match your 401(k) savings up to 5%.

  • Health and Wellness: Participate in quarterly wellness challenges, and we'll deposit extra cash into your checking or health savings accounts.

  • Benefits: Our benefits include medical, vision, and dental with low employee costs. Not to mention generous Earned Time Off (ETO) program.

  • Sponsorships: Are you passionate about a local fundraiser or philanthropy? We strive to give back to what matters most to our communities.

  • Tuition Assistance: Have a thirst for knowledge? We like that, which is why we're proud to offer assistance with the cost of your tuition.

ALLO is an Equal Opportunity Employer. We are committed to providing opportunities to all applicants and associates without regard to race, color, religion, sex, pregnancy, national origin, age, disability, marital status, sexual orientation, gender identity, military and veteran status, and any other characteristic protected by applicable law. ALLO believes that diversity and inclusion within our team is critical to our success as a company. We seek to recruit, develop, and retain the most talented people.

Benefit eligibility depends on the position and employment status. The available benefits differ for interns, contingent workers, and part-time team members.

Qualified individuals with disabilities who require reasonable accommodations in order to apply may contact Recruiting at recruiting@allofiber.com.

ALLO is a Drug Free and Tobacco Free Workplace.


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