Expert Model Risk Analyst - Validation

M&T Bank•Buffalo, NY

17h

About The Position

Overview: The Expert Model Validation Analyst is responsible for independently validating complex quantitative models across Treasury, Market Risk, Liquidity, and Balance Sheet Management. This role supports the Bank’s model risk governance framework and ensures models operate effectively and comply with regulatory expectations. Primary Responsibilities: Lead independent validation of complex quantitative models, including liquidity, IRRBB, FTP, QRM, and other Treasury and risk management models. Apply model risk governance standards, ensuring alignment with internal policies and regulatory expectations (e.g., SR 11‑7, SR 15‑18) Perform comprehensive testing such as conceptual soundness reviews, implementation verification, benchmarking, sensitivity analysis, challenger model development, and performance testing. Evaluate qualitative models and expert-judgment frameworks for documentation quality, controls, and governance. Prepare high-quality validation documentation, including Model Validation Reports, technical appendices, and supporting analyses. Present validation results to model owners, developers, and risk/governance partners, and support issue remediation. Participate in regulatory exams, audits, and governance reviews as needed. Contribute to enhancing validation methodologies, standards, and best practices across the Model Risk Management function. Provide technical guidance and mentorship to junior team members. Education and Experience Required: Master's or Doctoral degree in Mathematics, Statistics, Business Engineering, Econometrics, or Science-based discipline, Plus 5 years experience in model development or validation, with a combined minimum of 5-7 years’ higher education and relevant work experience. Technical knowledge of advanced software packages used in analytics. Education and Experience Preferred: Advanced degree (Master’s or PhD) in a quantitative discipline such as Statistics, Mathematics, Economics, Finance, Engineering, Data Science, or related field 5+ years of experience in model validation, model development, or quantitative risk management Deep understanding of: Treasury / balance sheet models (liquidity, IRRBB, QRM, FTP, etc.) Complex risk models (market risk, liquidity risk, behavioral models) Hands‑on experience conducting validation testing, including conceptual soundness assessments, implementation reviews, and performance/outcomes analysis Ability to independently manage and complete complex model validations with minimal supervision M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $123,600.00 - $206,000.00 Annual (USD). The successful candidate’s particular combination of knowledge, skills, and experience will inform their specific compensation. Location Buffalo, New York, United States of America Great companies have an enduring sense of purpose. At M&T, our purpose is a simple one: make a difference in people’s lives and uplift the communities we serve. M&T Bank Corporation is a financial holding company headquartered in Buffalo, New York. M&T’s affiliates offer advice, guidance, expertise and solutions across the entire financial spectrum, combining M&T Bank’s traditional banking services with the wealth management and institutional capabilities offered by Wilmington Trust. M&T Bank has a network of over 1,000 branches and 2,200 ATMs that span 12 states from Maine to Virginia and Washington, D.C. For more than 165 years, M&T has strived to take an active role in our communities and build long-lasting relationships with our customers. We are a bank for communities—combining the capabilities of a large bank with the care of a locally focused institution. As an employer of choice, we are proud to offer competitive benefits ranging from medical and retirement to forty hours of paid volunteer time, each year. Our core values – integrity, ownership, collaboration, curiosity, and candor – drive the work we do. We seek to further build upon our record of success by bringing in top talent and fresh skill sets while continuing to support the growth and development of all our team members. View M&T’s Human Capital Report to learn more. Ready to join our team? Submit your application today! If you are unable to apply through this site due to technical issues or need an accommodation to apply, please contact us at [email protected] for assistance. M&T Bank is unwavering when it comes to providing equal employment opportunities to all employees and applicants without regard to race, color, national origin, religion, ethnicity, sex, gender identity, age, disability, citizenship, pregnancy, veteran status, military status, marital status, sexual orientation, genetic information or any other characteristic protected under applicable federal, state or local laws. M&T Bank Corporation has policies and procedures in place to promote a drug free workplace. Career Site Privacy Notice

Requirements

Master's or Doctoral degree in Mathematics, Statistics, Business Engineering, Econometrics, or Science-based discipline, Plus 5 years experience in model development or validation, with a combined minimum of 5-7 years’ higher education and relevant work experience.
Technical knowledge of advanced software packages used in analytics.

Nice To Haves

Advanced degree (Master’s or PhD) in a quantitative discipline such as Statistics, Mathematics, Economics, Finance, Engineering, Data Science, or related field
5+ years of experience in model validation, model development, or quantitative risk management
Deep understanding of: Treasury / balance sheet models (liquidity, IRRBB, QRM, FTP, etc.) Complex risk models (market risk, liquidity risk, behavioral models)
Hands‑on experience conducting validation testing, including conceptual soundness assessments, implementation reviews, and performance/outcomes analysis
Ability to independently manage and complete complex model validations with minimal supervision

Responsibilities

Lead independent validation of complex quantitative models, including liquidity, IRRBB, FTP, QRM, and other Treasury and risk management models.
Apply model risk governance standards, ensuring alignment with internal policies and regulatory expectations (e.g., SR 11‑7, SR 15‑18)
Perform comprehensive testing such as conceptual soundness reviews, implementation verification, benchmarking, sensitivity analysis, challenger model development, and performance testing.
Evaluate qualitative models and expert-judgment frameworks for documentation quality, controls, and governance.
Prepare high-quality validation documentation, including Model Validation Reports, technical appendices, and supporting analyses.
Present validation results to model owners, developers, and risk/governance partners, and support issue remediation.
Participate in regulatory exams, audits, and governance reviews as needed.
Contribute to enhancing validation methodologies, standards, and best practices across the Model Risk Management function.
Provide technical guidance and mentorship to junior team members.