Senior Quantitative Risk Manager - BSA/AML (Hybrid - see job descriptions for potential work locations)

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.

Requirements

• 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/management experience)
• -OR- Master’s degree in Mathematics, Statistics, Quantitative Analysis or another technical discipline and a minimum of 8 years’ related experience (inclusive of 4 years supervisory/management experience)
• -OR- in lieu of a degree, A combined minimum of 14 years’ higher education and/or work experience, including a minimum of 8 years’ related experience and/or (inclusive of 4 years supervisory/management experience).
• Minimum of 10 years’ related experience (inclusive of 4 years supervisory/management experience)
• Banking or Financial Services experience.
• Experience with SAS, SAS Enterprise Miner and other Statistical Software Packages.
• Advanced Knowledge of SQL and Microsoft Office.
• Ability to utilize analytics in a collaborative manner across business functions and product lines to derive optimum solutions.
• Demonstrated ability to communicate complex concepts.
• Demonstrated ability to manipulate and analyze data across large databases.

Preferred

• Extensive experience with statistical and machine learning model development and ongoing monitoring.
• Demonstrated experience leading models from concept through production.
• Strong proficiency in both Python and SAS.

Pay

The pay range for this position is $148,300.00 - $247,100.00 Annual (USD). The successful candidate’s particular combination of knowledge, skills, and experience will inform their specific compensation.