Credit Model Development Quantitative Expert

Work Arrangement/Location

This is a hybrid position requiring in-office work three days each week. The preferred location is Buffalo, NY, but the role may be based in a M&T office in one of the following locations:
Buffalo, NY;
Baltimore, MD;
Bridgeport, CT;
Wilmington, DE;
Iselin, NJ;
Washington, DC; or possibly New York, NY. There is also potential for a remote work arrangement within the United States if the final candidate is not near one of the above locations or another M&T corporate office.

Independently develops, implements, maintains, analyzes, and manages quantitative/econometric behavioral models used for credit risk, interest rate risk, and liquidity risk management, as well as balance sheet and capital planning. Serves as a bank‑wide or industry expert in key areas of quantitative risk management, provides mentoring and training to less experienced analysts, and may lead or manage teams on a project basis.

• Lead research and development of quantitative behavioral models for credit risk, interest rate risk, and liquidity risk management, including loan delinquency, default and loss models, loan prepayment and utilization models, deposit attrition models, and financial instrument valuation methods.
• Prepare, manage, and analyze large customer loan, deposit, or financial data sets for statistical analysis in SQL or a similar tool to specify and estimate econometric models that understand customer or bank behavior for risk management purposes.
• Run regressions (time‑series and logistic), programming routines, and other econometric analyses to specify models using appropriate statistical software; communicate results, including graphic and tabular forms, to team members, Treasury management, and bank‑wide stakeholders.
• Execute models in a production environment; communicate analytical results to bank‑wide stakeholders, track portfolio performance, model performance, campaign tracking, and risk strategy results, and incorporate observations and data into existing models to improve predictive results.
• Develop, maintain, and manage model documentation, including process narratives and performance monitoring guidelines, as a reference source.
• Lead financial analysis and data support to other groups across the bank as required, serving as a bank‑wide expert in quantitative risk management, and lead engagements with Model Risk Management for model validation exercises.
• Provide guidance and direction to less experienced personnel on data and financial analysis and the development and management of predictive statistical models.
• Conduct business in compliance with regulatory guidance (e.g., SR 10‑1, SR 10‑6, SR 11‑7, Enhanced Prudential Standards) and adhere to applicable compliance, operational, and model risk controls.
• Serve as a lead in managing Treasury projects and initiatives under management guidance; present data, results, and recommendations to senior management as necessary.
• Understand and adhere to the company’s risk and regulatory standards, policies, and controls in accordance with the company’s risk appetite; identify risk‑related issues needing escalation to management.
• Promote an inclusive environment that supports belonging and reflects the M&T Bank brand.
• Maintain internal control standards, including timely implementation of audit points and issues raised by external regulators.
• Complete other related duties as assigned.

The position serves as a quantitative expert in statistical programming to analyze bank datasets and develop, implement, and maintain behavioral models. It requires clear communication through narratives, data visualization, and technical precision in both written and verbal formats. The role partners with and collaborates with colleagues in Credit Risk Management, Asset Liability and Liquidity Management, Model Risk Management, and business lines to implement and understand models for bank use.

It often leads team‑based projects related to model development or implementation. The role is highly technical and involves supervising interns or leading project teams, providing performance feedback, and guiding less…