Quantitative Model Analyst III

What you'll do

• Develop, validate, test, and implement complex statistical models to monitor suspicious activity in customer accounts.
• Manage the lifecycle of existing models while supporting the development of new models for detecting illicit activity.
• Create and review comprehensive model documentation to ensure compliance with regulatory expectations and internal risk standards.
• Conduct periodic performance assessments and perform tuning or calibration on active monitoring models.
• Communicate model performance, limitations, and findings to stakeholders across compliance, risk, and technology teams.
• Produce technical artifacts including development documents, performance reports, and business requirements for model integration.
• Provide clear summaries of complex model behaviors tailored for both technical and non-technical audiences.

What we're looking for

• Bachelor's degree in a quantitative field and five or more years of relevant experience.
• MA/MS in a quantitative field and three or more years of related experience.
• PhD in a quantitative field and less than two years of related experience.
• Experience with internally developed or vendor-provided models for transaction monitoring or financial crime detection (preferred).
• Advanced knowledge of statistical modeling techniques and validation methodologies (preferred).
• Strong programming skills in SAS, Python, SQL, or similar (preferred).
• Understanding of AML regulations (preferred).
• Ability to communicate complex model behavior to non-technical stakeholders (preferred).