Credit Model Development Quantitative Lead - Commercial Real Estate Portfolio (Hybrid)

Location: Hybrid, requiring in-office work four days per week. Ideally based 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. Remote work may be possible depending on the final candidate’s location.

Salary: $103,000–$171,600 annually (USD).

Company

M&T Bank is a banking organization focused on financial services, treasury, credit risk, and regulatory risk management.

What you will do

• Lead research, development, implementation, maintenance, and analysis of quantitative behavioral models for credit, interest rate, liquidity, balance sheet, and capital risk management.
• Prepare and analyze large loan, deposit, and financial datasets using SQL and statistical programming tools.
• Build econometric models using time-series, panel-data, logistic regression, and other statistical techniques.
• Execute models in production, monitor portfolio and model performance, and improve predictive results using new observations and data.
• Document model processes, performance monitoring guidelines, analytical results, and recommendations for Treasury, Risk Management, business lines, and senior management.
• Lead model validation engagements, Treasury projects, and teams of up to three individual contributors while providing guidance to less experienced personnel.

Requirements

• Bachelor’s degree and at least four years of proven quantitative behavioral modeling experience, or an equivalent combination of education and experience with at least four years of relevant modeling experience.
• Fluency in at least one open-source development language: Python or R.
• End-to-end model development lifecycle experience and at least four years of experience with statistical software such as SAS, Python, Stata, or R.
• At least four years of experience with data management environments such as SQL Server Management Studio and with large-scale data analysis.
• Experience working with model users and stakeholders, leading projects involving other resources, and explaining analytical results through concise writing, presentations, charts, and graphs.
• Ability to work in the office four days per week at an approved U.S. M&T location.

Nice to have

• Master’s or doctoral degree in statistics, economics, finance, or a related quantitative field.
• Commercial real estate credit model development, financial risk modeling, balance sheet management, or mathematical financial instrument modeling experience.
• FRM or CFA designation and knowledge of model risk management, model validation, and SR-11-7 guidance.
• Experience with data lineage and observability, Git, Markdown, open-source package development, reproducible coding environments, or agile project methods.

Culture & Benefits

• Full-time employment with compensation informed by the candidate’s knowledge, skills, and experience.
• Work with colleagues across Credit Risk Management, Asset Liability and Liquidity Management, Model Risk Management, Treasury, and business lines.
• Role includes opportunities to lead initiatives, guide less experienced personnel, and present recommendations to senior management.
• Work is governed by banking regulatory standards, model risk controls, internal controls, and the company’s risk appetite.