Senior Quantitative Risk Analyst: ML & AML Modeling

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

Job summary

M&T Bank Corporation is seeking a quantitative professional to develop statistical and machine learning models in a regulated environment. You will work on data preparation, model development, testing, validation support, implementation and monitoring using Python and SAS.

The role collaborates with senior modelers and stakeholders across risk and technology to deliver analytically sound solutions compliant with internal controls and regulatory expectations. Buffalo-based hybrid position.

Qualifications

• Bachelor degree or higher in a technical field with quantitative focus.
• Master’s degree or equivalent experience preferred.
• 3+ years in Banking/Financial Services or AML-related areas is a plus.

Responsibilities

• Support design, development, testing, implementation, and monitoring of statistical and ML models.
• Prepare, transform, and analyze large datasets; collaborate with senior team members.
• Translate business problems into analytical approaches and document methodology.

Skills

Statistics

Machine learning

Python

SAS

Data analysis

Education

Bachelor's degree in Mathematics/Statistics/Quantitative Analysis or technical discipline

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

Tools

Python

SAS

Job description

M&T Bank Corporation is seeking a quantitative professional to develop statistical and machine learning models in a regulated environment. You will work on data preparation, model development, testing, validation support, implementation and monitoring using Python and SAS.

The role collaborates with senior modelers and stakeholders across risk and technology to deliver analytically sound solutions compliant with internal controls and regulatory expectations. Buffalo-based hybrid position.