Senior BSA/AML Risk Quant Analyst | ML & Python | Hybrid

M&T Bank; South Dakota; Hybrid; USD 86,000 - 143,000; Full time

Job summary

M&T Bank is seeking a data science professional to develop statistical and machine learning models in a regulated environment. The role involves data preparation, model development, testing, implementation, and monitoring, using Python and SAS.

You will collaborate with senior modelers to deliver analytically sound solutions, document methodologies, and ensure compliance with regulatory standards. This is a hybrid position requiring in-office work four days per week in multiple U.S.

Qualifications

• Bachelor's degree in Mathematics, Statistics, Quantitative Analysis or another technical discipline.
• Master’s degree in Mathematics, Statistics, Quantitative Analysis or another technical discipline is preferred.

Responsibilities

• Support 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.

Skills

Python

SAS

Machine learning

Statistical modeling

Education

Bachelor degree in Mathematics, Statistics, Quantitative Analysis or another technical discipline

Master’s degree in Mathematics, Statistics, Quantitative Analysis or another technical discipline

Job description

M&T Bank is seeking a data science professional to develop statistical and machine learning models in a regulated environment. The role involves data preparation, model development, testing, implementation, and monitoring, using Python and SAS.

You will collaborate with senior modelers to deliver analytically sound solutions, document methodologies, and ensure compliance with regulatory standards. This is a hybrid position requiring in-office work four days per week in multiple U.S.