About this role
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, with a focus on Gen-AI and AI/ML Models. Experience working with or validating cybersecurity models is preferred. • 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 Technology and Cybersecurity, Credit Risk, Finance, and Private 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 (Computer Science, Software Engineering, Statistics, Mathematics). • 5–10+ years in model validation, development, or quantitative analytics. • Strong knowledge of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Natural Language Processing (NLP). • Good knowledge of model risk, SR 11-07, SR 26-2, and regulatory expectations. • Proficiency in Python, PyTorch, Git, 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 Wilmington, Delaware, United States of America