Credit Model Development Data Architect Expert (Machine Learning)

Location: Hybrid position requiring in-office work four days every week, ideally in Buffalo, NY, or at an M&T office in Baltimore, MD; Bridgeport, CT; New York City, NY; Iselin, NJ; Boston, MA; Wilmington, DE; Washington, DC; or another M&T corporate office. A remote arrangement may be possible depending on the final candidate's location.

Salary: $123,600–$206,000 annual USD

Company

M&T Bank provides banking and financial services, including credit risk, treasury, liquidity, and model risk management.

What you will do

• Develop, test, validate, refine, and maintain complex econometric, statistical, and machine learning models.
• Build champion/challenger and self-healing model frameworks for classification, clustering, pattern analysis, sampling, and simulation.
• Analyze large banking datasets, identify actionable insights, and communicate forecasts and model outcomes through clear narratives and visualizations.
• Implement model code, lead code reviews, and ensure efficiency, accuracy, stability, and adherence to best practices.
• Partner with Credit Risk Management, Asset Liability and Liquidity Management, Model Risk Management, and business lines.
• Mentor data scientists and lead project teams developing or implementing models.

Requirements

• Bachelor's degree and at least 6 years of quantitative behavioral modeling experience, or an equivalent combination of education and work experience.
• At least 6 years of experience with SAS, Python, Stata, or R; data management environments such as SQL Server Management Studio; and large dataset analysis.
• Experience with hybrid on-premises and cloud databases.
• Strong econometric and statistical skills, including time-series analysis, panel data methods, and logistic regression.
• Ability to communicate complex statistical and business problems clearly in writing, verbally, and through charts and graphs.
• Knowledge of model risk management and model validation, including SR-11-7 guidance.

Nice to have

• Master's or doctorate in statistics, economics, finance, or a related quantitative discipline.
• FRM or CFA designation.
• Experience with balance sheet management and mathematical modeling of banking financial instruments.
• Leadership experience and experience directing less experienced personnel.

Culture & Benefits

• Full-time employment with market-informed compensation.
• Work alongside cross-functional banking, risk, treasury, and business teams.
• Opportunities to mentor colleagues and contribute to model governance and internal controls.