**Overview**

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.

**Primary 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 ...