Quantitative Modeler Manager - AML
Core
Manage the development, production, and maintenance of Anti-Money Laundering (AML) transaction monitoring systems and advance the program into sophisticated anomaly detection using machine learning.
Role type
Senior IC quantitative modeler manager (AML)
Builds
Production AML transaction monitoring models and anomaly detection systems
Domain
Financial services / Anti-Money Laundering (AML)
Deliverable
production ML models
Required skills
Machine learning modeling, statistical modeling, SAS, Python, SQL, model validation, regulatory compliance (BSA/AML), project management
Preferred skills
Regression techniques, time series analysis, risk factor analysis, advanced data programming
Technologies
Actimize SAM, SAS, Python, SQL
Responsibilities
Drive the full model-development lifecycle from data exploration to production; support and enhance existing models; create robust model development documentation; conduct ongoing model monitoring and Below the Line testing; defend modeling approaches to internal and external examiners; partner with FIU and EFCC teams.
Seniority
Senior, hands-on IC with management responsibilities
