Quantitative developer • buffalo ny
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 ... Show more
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This position requiresexpertisein statistical and machine learning model development within a regulated environment.The role manages the full model development lifecycle—including requirements gath... Show more
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Under some supervision, the Lead Quantitative Analytics Associate is primarily responsible for using statistics, advanced mathematical techniques, and/or computer science to develop and validate pr... Show more
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The average salary range is between $ 124,692 and $ 200,000 year , with the average salary hovering around $ 152,941 year .
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
Scope of Responsibilities
Works under general guidance from more senior quantitative risk managers. Responsible for independent execution of defined analytical tasks and contributing to model development efforts. Builds technical expertise in AML modeling and governance.
Education and Experience Required
Preferred
Location
Buffalo, New York, United States of America
