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

** 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.

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.

- 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.

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.

- 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.

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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.