Senior Quantitative Risk Manager - BSA​/AML

## Senior Quantitative Risk Manager - BSA/AMLApplyremote type:
Onsite Position locations:
Buffalo, NYtime type:
Full time posted on:
Posted Todayjob requisition :
R85558# 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-RS1M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $ - $ Annual (USD). The successful candidate’s particular combination of knowledge, skills, and experience will inform their specific compensation.
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