SeniorQuantitativeRiskManager-BSA/AML

# Overview: This position requires expertise in statistical and machine learning model development within a regulated environment. The role manages the full model development lifecycle—including requirements gathering, development, testing/validation, implementation, and ongoing monitoring—and partners closely with business and compliance stakeholders to deliver analytically sound, well-documented solutions. Development work is performed using both Python and SAS. # ## Primary Responsibilities: * Design, develop, test/validate, implement, and monitor statistical and machine learning models across the full model development lifecycle. * Partner with internal business stakeholders to define modeling requirements and translate them into scalable analytical solutions. * Analyze large, complex datasets (e.g., transaction data, customer/entity attributes, behavioral and demographic data) and present insights to senior management. * Produce clear, defensible model documentation and support governance, validation, and regulatory activities (MRM, audit, regulatory review). * Develop and maintain production-quality analytics using Python and SAS. * Collaborate with internal and external partners to optimize the risk/reward equation and maximize profitability. * Serve as a liaison for Quantitative Risk Management initiatives across business areas, consultants, vendors, and peer banks. * Manage and develop Quantitative Analysts and Modelers, including performance and skills development. * Ensure adherence to risk management frameworks, regulatory standards, and internal controls. * Exercise managerial authority related to staffing, performance, and compensation decisions. * Promote an inclusive environment that reflects the M&T Bank brand. ## Education and Experience Required: Bachelors’ degree, OR in lieu of a degree, A combined minimum of 14 years’ higher education and/or work experience, including a minimum of 10 years’ related experience (inclusive of 4 years supervisory/ma