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Model Validation Jobs in Buffalo, NY (NOW HIRING)

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How much do model validation jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for model validation in Buffalo, NY is $50.37, according to ZipRecruiter salary data. Most workers in this role earn between $38.17 and $61.25 per hour, depending on experience, location, and employer.

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 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 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 Buffalo, NY?

The most popular types of Model Validation jobs in Buffalo, NY are:

What are popular job titles related to Model Validation jobs in Buffalo, NY?

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

What job categories do people searching Model Validation jobs in Buffalo, NY look for?

The top searched job categories for Model Validation jobs in Buffalo, NY are:

What cities near Buffalo, NY are hiring for Model Validation jobs?

Cities near Buffalo, NY with the most Model Validation job openings:

Infographic showing various Model Validation job openings in Buffalo, NY as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $104,763 per year, or $50.4 per hour.

Model Risk Analyst - Validation [Multiple Positions Available]

Buffalo, NY • On-site


M&T Bank
Finance and Insurance • 10K+ employees

7.8

Company rating: 7.8 out of 10

Based on 187 frontline employees who took The Breakroom Quiz

78th of 173 rated banks

Good employer

Recommended by parents

Respectful managers


$119K/yr

Full-time

Posted 18 days ago


Job description

Title: Model Risk Analyst - Validation [Multiple Positions Available]
Job Location: 345 Main St, Buffalo, NY 14203. Position requires in-office work four (4) days every week.
Job Description: Perform independent validation review of complex financial statistical models with primary focus on Treasury models (including interest rates sensitive, interest rates and currency derivatives models), as well as Fair Lending and general Credit Risk models. Writing quality reports for management review. Preparing materials and leading Effective Challenge presentations of accomplished validations. Supporting MRM model life cycle in relations to reviewing and reporting of IRA, MCA, MCM, MRT. Establishing communication with model owners, model developers, model stakeholders in support of successful model validation process and MRM initiatives. Supporting development of playbook for Validation of Fair Lending Models. Coordinate the engagement of third parties to perform validation. Review the results of third party validation. Perform validation and analysis of expert judgment or qualitative factors that augment quantitative models. Review to confirm proper controls and adequate documentation are in place. Recommend, as necessary, the cessation of reliance on models that are outdated or inaccurate, as determined by analysis. Prepare reporting for Management to monitor performance of models. Participate in meetings with model owners to discuss current portfolio tracking and business observations. Develop knowledge on standard concepts, practices, and procedures within the model validation/risk analytics field. Mine data from a variety of sources. Utilize technical skills to manage data and efficiently conduct analyses. Develop ad hoc processes to address efficiency gains that translate into repeatable procedures. Prepare written summary and analysis of all validation work, using a combination of word processing and presentation software skills. Adhere to applicable compliance/operational risk controls in accordance with Company or regulatory standards and policies. 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.
Minimum requirements: Master's degree (or foreign equivalent) in Financial Mathematics, Mathematics, Statistics, Computer Science, Operation Research, Econometrics, or a related technical field plus three (3) years of experience in the job offered or as a Model Risk Analyst, Quantitative Model Developer, Quantitative Financial Analyst, Statistician, Data Scientist, or Model Validator. The employer will alternatively accept a Bachelor's degree (or foreign equivalent) in Financial Mathematics, Mathematics, Statistics, Computer Science, Operation Research, Econometrics, or related technical field plus six (6) years of experience in the job offered or as Quantitative Model Developer, Quantitative Financial Analyst, Statistician, Data Scientist, or Model Validator.
Requires three (3) years of experience in each of the following:
• Statistical modeling techniques including regression (including linear, logistic, Poisson, lasso, and ridge), machine learning (including tree and XGBoost), and cluster analysis.
• Programming skills in Python or SAS.
• Work with supervised models (including regressions, boosting, and ensemble learning) and unsupervised algorithms (including clustering and DBSCAN) applied to quantitative risk modeling and data-driven analysis.
• Statistical theory, including sampling methods, confidence intervals, and hypothesis testing for evaluating model assumptions and performance.
• Programming languages including Python or SAS for statistical modeling, machine learning development, implementation, future engineering and model performance evaluation.
• Writing reproducible code.
• Data wrangling, automation, and generating analytical reports.
• Leveraging SQL and other query languages to query, transform, and preprocess structured and unstructured data for analytical and modeling purposes.
• Working with data mining and feature engineering techniques.
Salary: $119,766.00 - $119,766.00 per year
Location
Buffalo, New York, United States of America


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