Senior Quantitative Risk Analyst - BSA/AML at M&T Bank in Buffalo, NY

Job description

• This position supports the development of statistical and machine learning models within a regulated environment. The role contributes to key components of the model development lifecycle—including data preparation, model development, testing/validation support, implementation, and monitoring—while working closely with senior modelers to deliver analytically sound and well-documented solutions. Development work is performed using both Python and SAS.

Responsibilities

• Support the design, development, testing, implementation, and monitoring of statistical and machine learning models
• Prepare, transform, and analyze large datasets (e.g., transactions, customer behavior, entity data)
• Partner with senior team members to translate business problems into analytical approaches
• Contribute to model documentation, including methodology, assumptions, and monitoring frameworks
• Develop and maintain analytical code using Python and/or SAS
• Assist in model performance monitoring and identification of model issues or limitations
• Support model validation, audit, and regulatory review processes
• Collaborate with stakeholders across EDD, FIU, Technology, and Model Risk Management
• Ensure adherence to internal controls and regulatory expectations
• Provide guidance to junior analysts where appropriate
• Understand and adhere to the Company’s risk and regulatory standards, policies and controls in accordance with the Company’s Risk Appetite. Identify risk-related issues needing escalation to management.
• Promote an environment that supports belonging and reflects the M&T Bank brand.
• Maintain M&T internal control standards, including timely implementation of internal and external audit points together with any issues raised by external regulators as applicable.
• Complete other related duties as assigned.

Requirements

• Bachelor degree in Mathematics, Statistics, Quantitative Analysis or another technical discipline,
• OR in lieu of degree A combined minimum of 7 years higher education and/or work experience to include a minimum of 3 years relevant experience.
• -OR-
• Master’s degree in Mathematics, Statistics, Quantitative Analysis or another technical discipline, with minimum of 1 year relevant experience,
• OR in lieu of degree,
• A combined minimum of 7 years higher education and/or work experience to include a minimum of 1 year relevant experience.
• Minimum of 3 years relevant experience, Banking or Financial Services experience.
• Master’s degree in a quantitative discipline
• Experience in banking, financial services, or AML/BSA
• Exposure to model validation or model risk management
• Familiarity with machine learning techniques

Skills

Required

• Python
• SAS
• Statistical modeling
• Machine learning
• Data preparation and analysis
• Model documentation
• Model validation and regulatory review
• Risk management

Benefits

• M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $85,800.00 - $143,000.00 Annual (USD). The successful candidate’s particular combination of knowledge, skills, and experience will inform their specific compensation.