Hybrid Quantitative Risk Analyst – ML & AML Modeling

M&T Bank; Buffalo (NY); Hybrid; USD 86,000 - 143,000; Full time

Job summary

M&T Bank in Buffalo, NY is seeking a quantitative model developer to advance statistical and machine learning models in a regulated environment. You will handle data preparation, model development, testing, implementation, and monitoring, collaborating with senior modelers to deliver analytically sound solutions using Python and SAS.

This hybrid role requires in-office presence four days per week and offers the opportunity to contribute to model risk management, validation support, and

Qualifications

• Bachelor's degree in Mathematics, Statistics, Quantitative Analysis or another technical discipline is required, or a combined minimum of 7 years of higher education and/or work experience with 3 years of relevant experience.
• Master's degree in Mathematics, Statistics, Quantitative Analysis or another technical discipline with minimum 1 year relevant experience, or a combined minimum of 7 years higher education and/or work experience with 1 year relevant experience.
• Minimum of 3 years relevant experience in Banking or Financial Services.

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
• 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

Skills

Statistical modeling

Machine learning

Data analysis

Education

Bachelor's degree in Mathematics/Statistics/Quantitative Analysis

Master's degree in Mathematics/Statistics/Quantitative Analysis

Tools

Python

SAS

Job description

M&T Bank in Buffalo, NY is seeking a quantitative model developer to advance statistical and machine learning models in a regulated environment. You will handle data preparation, model development, testing, implementation, and monitoring, collaborating with senior modelers to deliver analytically sound solutions using Python and SAS.

This hybrid role requires in-office presence four days per week and offers the opportunity to contribute to model risk management, validation support, and