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Quantitative Model Validation Analyst information

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$58.2K

$138K

$247.3K

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 Silver Spring, MD is $137,976.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,900.00 and $150,000.00 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 job categories do people searching Quantitative Model Validation Analyst jobs in Silver Spring, MD look for? The top searched job categories for Quantitative Model Validation Analyst jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Quantitative Model Validation Analyst jobs? Cities near Silver Spring, MD 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 Silver Spring, MD 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 $137,976 per year, or $66.3 per hour.

Model Risk Senior Analyst - Validation (AI, Cyber, Technology)

M&T Bank

Baltimore, MD • On-site

$113K - $188K/yr

Full-time

Re-posted 29 days ago

M&T Bank rating

7.8

Company rating: 7.8 out of 10

Based on 185 frontline employees who took The Breakroom Quiz

89th of 170 rated banks

Job description

Overview: The Senior Model Validation Analyst is responsible for executing robust, independent validations of quantitative and qualitative models across the enterprise. This role serves as a key control function within Model Risk Management (MRM), ensuring models are conceptually sound, empirically validated, and compliant with regulatory and internal standards.
Primary Responsibilities:
  • Lead end-to-end validation of several model families including Consumer CCAR and CECL credit risk models, AI/ML models, Cybersecurity and Technology models.
  • Conduct the validation and analysis of expert judgment or qualitative factors that augment quantitative models; review to confirm proper controls and adequate documentation are in place
  • Perform independent challenge of model methodologies, benchmarking, back-testing, sensitivity analysis, and stress testing
  • Maintain high-quality documentation of validation work, findings, and conclusions to withstand internal audit and regulatory scrutiny.
  • Maintain M&T internal control standards, including timely implementation of internal and external audit points together with any issues raised by external regulators as applicable
  • Support remediation of validation, audit, and regulatory findings.
  • Partner with model developers, business stakeholders, and risk managers to communicate validation outcomes, challenge assumptions, and recommend improvements.

Scope of Responsibilities:
Independently manage multiple validation projects.
Partner with business lines including Credit Risk, Finance, Technology, and Wealth.
Balance regulatory expectations with business objectives.
Contribute to continuous improvement of validation practices and governance.
Supervisory/Managerial Responsibilities:
Individual contributor with opportunities to mentor junior analysts and provide technical guidance.
Education and Experience Required:
Master's or Doctoral Degree in Mathematics, Statistics, Business Engineering, Econometrics, or Science-based discipline,
Plus 4 years' experience in model development or validation, with a combined minimum of >5 years' higher education and relevant work experience.
Technical knowledge of advanced software packages used in analytics.
Education and Experience Preferred:
Master's or PhD in a quantitative discipline (Finance, Economics, Statistics, Mathematics, Engineering).
7-10+ years in model validation, development, or quantitative analytics.
Strong knowledge of model risk, SR 11-07, SR 26-2, and regulatory expectations.
Proficiency in Python, SAS, R, or similar tools.
Strong analytical, communication, and stakeholder management skills.
M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $113,300.00 - $188,800.00 Annual (USD). The successful candidate's particular combination of knowledge, skills, and experience will inform their specific compensation.
Location
Baltimore, Maryland, United States of America

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