About the role

Aplyr's Quick Take

This role is about leading the development and management of statistical and machine learning models for risk assessment in a banking environment. You'll be hands-on with data analysis and model documentation while also managing a team of analysts. It's a managerial position that requires both technical skills and leadership experience.

Good fit

Ideal candidates have a strong background in quantitative analysis, at least 10 years of experience in risk management, and 4 years in a supervisory role. A collaborative working style and proficiency in Python and SAS are essential.

Worth noting

The salary range is quite broad, indicating potential for negotiation based on experience. The role emphasizes compliance and regulatory standards, which may appeal to those with a strong interest in governance.

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

Aplyr's read

M&T Bank is a regional financial institution with a strong community focus, attracting professionals in commercial banking and financial services.
Synthesized from recent postings & public sources

What's promising

•M&T Bank has a strong regional presence in the Northeastern U.S.
•The bank offers diverse career opportunities in commercial and retail banking.
•M&T Bank is known for its community-oriented approach and local involvement.

What to watch

•M&T Bank faces competition from larger national banks.
•Limited public information about its technological innovation initiatives.
•The bank's regional focus may limit geographic career mobility.

Why M&T Bank

•M&T Bank emphasizes a community-focused banking model.
•The company offers specialized roles in commercial credit and equipment financing.
•M&T Bank provides hybrid work opportunities for certain roles, enhancing work-life balance.

Aplyr’s read is generated by AI from public sources. Was it useful?

About M&T Bank

M&T Bank

mtb.com

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M&T Bank is a regional bank holding company that provides a wide range of financial services, including commercial and retail banking, investment services, and mortgage banking.