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

About this role

** Work Location/Arrangement: This is a hybrid position requiring in-office work four (4) days every week at an M&T office in Buffalo, NY, Bridgeport, CT, Baltimore, MD, Timonium, MD, Wilmington, DE or New York, NY.

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/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.

Education and Experience 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.  

#LI-RS1

M&T Bank is committed to fair, competitive, and market-informed pay for our employees. 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.

Location Buffalo, New York, United States of America

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