Model Risk Senior Analyst - Validation (AIML, GenAI, Technology)

Location: Wilmington, Delaware, United States of America

Salary: $113,300–$188,800 annual USD

Company

M&T Bank operates an enterprise model risk management function supporting technology, cybersecurity, credit risk, finance, and private wealth.

What you will do

• Lead end-to-end validation of multiple model families, focusing on GenAI and AI/ML models.
• Validate expert judgment and qualitative factors that augment quantitative models, including controls and documentation.
• Independently challenge methodologies through benchmarking, back-testing, sensitivity analysis, and stress testing.
• Document validation work, findings, and conclusions for internal audit and regulatory review.
• Support remediation of validation, audit, and regulatory findings.
• Partner with model developers, business stakeholders, and risk managers to communicate outcomes and recommend improvements.

Requirements

• Master’s or doctoral degree in mathematics, statistics, business engineering, econometrics, computer science, software engineering, or another quantitative or science-based discipline.
• At least 4 years of experience in model development or validation, with more than 5 years of combined higher education and relevant experience.
• Knowledge of advanced analytics software packages.
• Experience with or knowledge of LLMs, RAG, and NLP.
• Knowledge of model risk management, SR 11-07, SR 26-2, and regulatory expectations.
• Proficiency in Python, PyTorch, Git, R, or similar tools.

Nice to have

• Experience working with or validating cybersecurity models.
• 5–10+ years of experience in model validation, model development, or quantitative analytics.
• Strong analytical, communication, and stakeholder management skills.

Culture & Benefits

• Individual contributor role with opportunities to mentor junior analysts and provide technical guidance.
• Responsibility for independently managing multiple validation projects.
• Opportunity to improve validation practices and model risk governance.
• Work spans Technology and Cybersecurity, Credit Risk, Finance, and Private Wealth business lines.