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Quantitative Model Validation Analyst Jobs in Alabama

ISSAC Corp

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Mid Level Modeling and Simulation Analyst

Huntsville, AL · On-site

$120K - $150K/yr

... validation analysis of test data. · Develop and run Python tools to support M&S analysis ... element models (SMHR, signatures, environment). · Knowledge of HWIL architecture infrastructure ...

Ataero

Data Analyst

Huntsville, AL · On-site

Develop, validate, document, and maintain repeatable analytical models, measures, dashboards, reports, and data-visualization products. * Use Tableau, Power BI, or comparable Government-approved ...

New

Ataero

Data Analyst

Huntsville, AL · On-site

Develop, validate, document, and maintain repeatable analytical models, measures, dashboards, reports, and data-visualization products. * Use Tableau, Power BI, or comparable Government-approved ...

New

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All JobsQuantitative Model Validation Analyst JobsQuantitative Model Validation Analyst Jobs in Alabama

Quantitative Model Validation Analyst information

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$51.2K

$121.3K

$217.5K

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

As of Aug 7, 2026, the average yearly pay for quantitative model validation analyst in Alabama is $121,345.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,100.00 and $131,900.00 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 Alabama? For Quantitative Model Validation Analyst jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Quantitative Model Validation Analyst jobs in Alabama look for? The top searched job categories for Quantitative Model Validation Analyst jobs in Alabama are:
What cities in Alabama are hiring for Quantitative Model Validation Analyst jobs? Cities in Alabama with the most Quantitative Model Validation Analyst job openings:
Quantitative Model Validation Analyst jobs near you
Infographic showing various Quantitative Model Validation Analyst job openings in Alabama 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 $121,345 per year, or $58.3 per hour.

Mid Level Modeling and Simulation Analyst

ISSAC Corp

Huntsville, AL • On-site

$120K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago

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Job description

ISSAC is seeking a highly motivated Modeling & Simulation (M&S) Analyst to support the Missile Defense Agency (MDA) in assessing the capabilities of the Missile Defense System (MDS). This critical role will involve working with Hardware-In-the-Loop (HWIL) simulation data in support of MDS Ground Test (GT) events, Continuous Developmental Integration (CDI) activities, and MDS Flight Tests. The focus will be hands-on support for MDA's distributed software simulation framework, OSF.

Responsibilities:

·         Provide M&S framework analysis support for CDI activities, GT events, and Flight Tests.

·         Perform analysis on the status of current and future capabilities in OSF.

·         Review test data to detect and troubleshoot issues associated with simulation performance and accuracy.

·         Ensure event data quality and integrity through verification and validation analysis of test data.

·         Develop and run Python tools to support M&S analysis activities.

·         Document and communicate analysis results across interdisciplinary teams.

·         Collaborate with teams of analysts and engineers to ensure the successful execution of test simulation campaigns.

Qualifications:

·         Familiarity with Python scripting language.

·         Familiarity with Linux.

·         Excellent communication, organizational, and technical writing skills

·         Possess the ability to clearly express ideas/concepts, perform as part of a team, and be capable of operating in a multi-tasking environment.

·         Ability to work within a collaborative environment composed of Government, Prime Contractor, and Supporting Contractor personnel.

·         Ability to multitask and prioritize effectively.

·         Proactive and self-motivated, takes an active role to ensure that responsibilities are completed on or ahead of schedule.

Desired Qualifications:

·         Familiarity with MDA Ground Test CONOPS.

·         Familiarity with Objective Simulation Framework (OSF).

·         Knowledge of the HWIL architecture infrastructure truth presentation to element models (SMHR, signatures, environment).

·         Knowledge of HWIL architecture infrastructure, including truth presentation utilizing Distributed Interactive Simulation (DIS) adapter, and/or Ground Test Integrated System Simulation (GTISS) adapter.

·         Experience with data analysis libraries in Python (e.g., Pandas, NumPy).

·         Preferred NSITE Experience

·         Basic understanding of AI/ML concepts.

·         Familiarity with Cloud computing concepts.

·         Experience with data visualization tools (e.g., Grafana, Tableau, Power BI).

 

 Travel:

·         0-10% Travel

Education & Experience:

·         BS in Engineering, Mathematics, Physics, or Computer Science from an accredited university

·         3-10 years’ experience

Clearance

·         Secret Security Clearance

Company Description

ISSAC is a Systems Engineering and Advanced Data Analytics company. We support clients across a wide range of industries, including federal/defense, bioscience/healthcare, and commercial. ISSAC offers competitive salaries, Medical, Dental, Vision and Life Insurance. We also have 4 weeks of PTO, 11 holidays, education assistance, 401K program and profit sharing.

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About ISSAC

Sourced by ZipRecruiter

Industry

Guided missile and space vehicle manufacturing

Company size

11 - 50 Employees

Headquarters location

Colorado Springs, CO, US

Year founded

2006

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