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Model Validation Jobs in Maryland (NOW HIRING)

Jensen Hughes

Principal CFD Modeling Engineer

Baltimore, MD · On-site

$90K - $197K/yr

  • Medical

  • Retirement

Analyze experimental results and integrate findings into model validation and improvement frameworks * Provide technical leadership and mentorship to other engineers, helping shape best practices in ...

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Model Validation information

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How much do model validation jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for model validation in Maryland is $50.46, according to ZipRecruiter salary data. Most workers in this role earn between $38.27 and $61.35 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the model validation position, and why are they important?

To thrive as a Model Validation professional, you need strong quantitative, statistical, and analytical skills, often supported by a degree in mathematics, statistics, finance, or a related field. Proficiency with programming languages such as Python or R, statistical modeling software, and familiarity with regulatory guidelines like SR 11-7 or CCAR is essential. Outstanding attention to detail, problem-solving abilities, and clear communication are valuable soft skills in this role. These competencies are crucial for rigorously assessing complex models, documenting findings, and collaborating effectively with model developers and risk management teams.

What is a model validation?

A Model Validation job involves assessing and verifying the accuracy, reliability, and performance of mathematical and statistical models used in finance, risk management, or other industries. Professionals in this role conduct independent testing, evaluate assumptions, and ensure models comply with regulatory and internal standards. They identify weaknesses, suggest improvements, and help mitigate potential risks associated with model usage. Model validators often work with machine learning models, credit risk models, or trading algorithms, depending on the industry.

What are some common challenges faced by professionals in model validation roles?

One common challenge in Model Validation is staying up-to-date with evolving regulatory requirements and industry best practices, which can impact how models should be tested and documented. Model validators often work with highly complex financial or risk models, requiring strong analytical skills to assess underlying assumptions and potential risks. Additionally, balancing the need for thoroughness with tight deadlines and collaborating with model developers to address issues can be demanding. However, overcoming these challenges offers valuable opportunities to build expertise, work cross-functionally, and play a critical role in ensuring the integrity and reliability of key business decisions.

What are the most commonly searched types of Model Validation jobs in Maryland?

The most popular types of Model Validation jobs in Maryland are:

What are popular job titles related to Model Validation jobs in Maryland?

For Model Validation jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Model Validation jobs in Maryland look for?

The top searched job categories for Model Validation jobs in Maryland are:

Model Validation jobs near you
Infographic showing various Model Validation job openings in Maryland as of August 2026, with employment types broken down into 2% As Needed, 78% Full Time, 15% Part Time, 1% Temporary, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $104,966 per year, or $50.5 per hour.

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

M&T Bank

Wilmington, DE • On-site

$113K - $188K/yr

Full-time

Re-posted 8 days ago

M&T Bank rating

7.9

Company rating: 7.9 out of 10

Based on 186 frontline employees who took The Breakroom Quiz

79th of 171 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.LocationWilmington, Delaware, United States of America

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