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Quantitative Model Validation Analyst Jobs in Rio Rancho, NM

Tecolote Research

Senior Cost Analyst

Albuquerque, NM · On-site

$80K - $102K/yr

The applicant should be familiar with stochastic modeling and have an understanding of how to apply ... Excellent verbal communication, written, and quantitative analytical skills required * Applicants ...

Technomics, Inc.

Cost Analyst

Albuquerque, NM · On-site

... databases, models, approaches and techniques. Position-Specific Overview * Should have the ... Minimum Qualifications * Bachelor's degree in a quantitative discipline (e.g., engineering ...

Technomics

Cost Analyst

Albuquerque, NM · On-site

... databases, models, approaches and techniques. Position-Specific Overview * Should have the ... Minimum Qualifications * Bachelor's degree in a quantitative discipline (e.g., engineering ...

AMRI

Validation Specialist III

Albuquerque, NM · On-site

Oversee and conduct validation testing activities, analyze data for accuracy, reliability, and ... Model Framework, as well as EU GMP Annex 11 for computer systems compliance Supervisory ...

Technomics

Cost Analyst (Mid-Level)

Albuquerque, NM · On-site

... databases, models, approaches and techniques. Position-Specific Overview * Should have the ... Minimum Qualifications * Bachelor's degree in a quantitative discipline (e.g., engineering ...

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Showing results 21-40

All JobsQuantitative Model Validation Analyst JobsQuantitative Model Validation Analyst Jobs in Rio Rancho, NM

Quantitative Model Validation Analyst information

See Rio Rancho, NM salary details

$53.1K

$125.9K

$225.7K

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

As of Sep 4, 2026, the average yearly pay for quantitative model validation analyst in Rio Rancho, NM is $125,926.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,900.00 and $136,900.00 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 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.

Quantitative Model Validation Analyst jobs near you
Infographic showing various Quantitative Model Validation Analyst job openings in Rio Rancho, NM 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 $125,926 per year, or $60.5 per hour.

Senior Cost Analyst

Tecolote Research

Albuquerque, NM • On-site

$80K - $102K/yr

Full-time

Re-posted 4 days ago

Key responsibilities

  • Help define military nuclear delivery system scope, requirements, and configurations, and identify, track, and quantify technical, cost, and schedule risks.

  • Develop and deliver cost estimates, analyze Integrated Master Schedules (IMS), and create estimates using ACEIT software.

  • Monitor and analyze cost and schedule performance during mission execution using earned value management and schedule prediction techniques.

Job description

Overview
The position requires at least 10-years of combined industry and government acquisition experience of which 4-years shall include duties/assignments specifically in support of defense acquisition programs. Experience with nuclear delivery systems highly desired. Master's Degree (B/S) in Management, Business, Economics, Finance, Accounting, Mathematics, Science, Technology, Engineering, or Statistics.
Responsibilities
  • The applicant will help define military nuclear delivery system scope, requirements, configurations, and identify, track, and quantify technical, cost, and schedule risks in a science and technology environment
  • The applicant will be responsible for developing and delivering cost estimates and analyzing Integrated Master Schedules (IMS) for nuclear delivery defense acquisition projects
  • Applicant will be responsible for creating estimates using ACEIT software
  • Applicant will be responsible for understanding EVM and schedule estimating, substantiation of confidence level generation, and schedule/prediction analysis to monitor/extrapolate cost/schedule performance during mission execution
  • The applicant should be familiar with stochastic modeling and have an understanding of how to apply sophisticated statistical and analytical techniques and convey the meaning of the results to DOD decision makers
  • This position has daily interfaces with government personnel, prime contractors, and regular travel to Kirtland Air Force Base (KAFB), NM and occasional travel to other government and contractor facilities.

Skills Required
  • Applicant must have a strong understanding of system engineering, subsystem technical relationships, engineering trades, technology development and risk and system maturity
  • Applicant must be proficient in performing cost estimating activities such as cost analysis, statistical analysis, WBS development, and risk analysis
  • Applicant must have working knowledge of M/S Project
  • Proficiency with M/S office applications required, i.e., Word, PowerPoint, and Excel
  • Excellent verbal communication, written, and quantitative analytical skills required
  • Applicants must have experience with cost estimating principles and DoD acquisition policies
  • Applicants should have a working knowledge of project management processes, earned value management, and project scheduling
  • Knowledge of DoD Budget cycle desirable
  • Knowledge of quantitative analytic techniques, and a working knowledge of ACEIT highly desirable
  • Air Force Research Laboratory Space Vehicles Directorate
  • The AFRL/RV is located at Kirtland Air Force Base, N.M. It serves as the Air Force's center of excellence for space technology research and development, focusing on space-based capabilities such as intelligence, surveillance, reconnaissance, space situational awareness, communications, defensive space control, and nuclear delivery systems. The Directorate consists of an integrated team of military, civilian, and on-site contractors.
  • AFRL executes the Science and Technology appropriations of the Department of the Air Force (DAF).
  • U.S. citizenship required.
  • Secret security clearance required, Top Secret clearance desirable.

Education
Bachelor's degree required, preferably in math, engineering, business, or the sciences.

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