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

Work Arrangement/Location This is a hybrid position requiring in‑office work three days per week. The role is ideally based in Buffalo, NY but may also be located in an M&T office in Baltimore, MD; Bridgeport, CT; NYC, NY; Iselin, NJ; Boston, MA; Wilmington, DE; Washington, DC; or another M&T Bank corporate office. Overview 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. The position may supervise interns or lead small teams, providing performance feedback to management as appropriate. Guidance and direction are provided to less experienced personnel. Primary Responsibilities Lead research and development of quantitative behavioral models used for credit risk, interest rate risk and liquidity risk management, balance sheet and capital planning, 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 Structured Query Language (SQL) or similar tools to properly specify and estimate econometric models. Run regressions (time‑series and logistic), programming routines and other econometric analyses using statistical software; communicate results, including graphic and tabular forms, to team members, Treasury management and bank‑wide stakeholders. Execute models in production, track portfolio and model performance, campaign tracking and risk strategy results; incorporate observations and data to improve predictive results. Develop, maintain and manage model documentation, including process narratives and performance monitoring guidelines. Lead financial analysis and data support to other groups/departments; conduct engagements with Model Risk Management for validation exercises. Provide guidance to less experienced personnel regarding all aspects of data analysis and model development. Conduct business in compliance with regulatory guidance (SR 10‑1, SR 10‑6, SR 11‑7, Enhanced Prudential Standards, etc.) and applicable controls. Serve as lead on Treasury projects, presenting data, results and recommendations to senior management. Understand and adhere to the company’s risk and regulatory standards; identify issues needing escalation. Promote an inclusive environment that reflects the M&T Bank brand. Maintain internal control standards, including timely implementation of audit points and regulatory issues. Complete other related duties as assigned. Scope of Responsibilities The position serves as team lead in using statistical programming languages to analyze bank datasets, develop, implement and maintain behavioral models. Clear communication through narratives, data visualizations and precise technical work is essential. The role collaborates with Credit Risk Management, Asset Liability and Liquidity Management, Model Risk Management, and business lines to implement models for bank use. It leads team‑based projects, provides guidance to less experienced personnel, and is highly technical. Supervision of interns or up to three investigators and feedback to management is expected. Education and Experience Required Bachelor’s degree and a minimum of 4 years of proven quantitative behavioral modeling experience, or a combined 8 years of higher education and experience, including at least 4 years of modeling experience. Fluent in at least one open‑source language (R, Python). Experience in end‑to‑end model development lifecycle. Experience working directly with model users and stakeholders. Experience leading projects and initiatives involving other resources. Minimum of 4 years’ experience with statistical software packages (SAS, Python, Stata, R). Minimum of 4 years’ experience with data management environments such as SQL Server Management Studio. Proven ability to manage and analyze large data sets and present results verbally and through charts/graphs. Education and Experience Preferred Master’s or Doctorate in statistics, economics, finance or related field with strong coursework in statistics, econometrics, economics, computer science, finance or risk management. Minimum 5 years of statistical analysis programming experience. Commercial real‑estate credit model development experience ideal. Financial Risk Manager (FRM) or Chartered Financial Analyst (CFA) designation. Advanced proficiency in econometric techniques, particularly time‑series analysis, panel data methods and logistic regression. Experience in balance sheet management and mathematical modeling of financial instruments offered by banks. Knowledge of model risk management and validation with SR‑11‑7 guidance. Strong track record of autonomous and team work. Proven leadership skills. Strong desire to learn and contribute to a group. Previous experience directing the work of less experienced personnel. Financial modeling experience (regulatory or credit risk modeling) is a plus. Experience in planning and managing project timelines and resources (agile methods a plus). Exposure to SAS. Experience with data management principles (lineage, observability). Experience with git protocols, Markdown tools, open‑source package development, replicable coding environments is a plus. Compensation M&T Bank is committed to fair, competitive, and market‑informed pay for our employees. The pay range for this position is $103,000.00 – $171,600.00 Annual (USD). The successful candidate’s particular combination of knowledge, skills and experience will inform specific compensation. Location Buffalo, New York, United States of America #J-18808-Ljbffr M&T Bank