Senior Quantitative Risk Manager - BSA/AML

**Overview:**

This position requires expertise in statistical and machine learning model development within a regulated environment. The role manages the full model development lifecycle—including requirements gathering, development, testing/validation, implementation, and ongoing monitoring—and partners closely with business and compliance stakeholders to deliver analytically sound, well-documented solutions. Development work is performed using both Python and SAS.

**Primary Responsibilities:**

+ Design, develop, test/validate, implement, andmonitorstatistical and machine learning models across the full model development lifecycle.

+ Partner with internal business stakeholders to define modeling requirements and translate them into scalable analytical solutions.

+ Analyze large, complex datasets (e.g., transaction data, customer/entity attributes, behavioral and demographic data) and present insights to senior management.

+ Produce...