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Executive Director, Data Scientist AML Modeling and Analytics - USAA
Data Scientist
Lead AML modeling and analytics initiatives, driving advanced machine learning solutions on AWS to detect and prevent financial crime. Own end‑to‑end data pipelines, model development, and stakeholder communication in a high‑impact, data‑centric environment.
About the role
Key Responsibilities
- Design, develop, and deploy scalable AML models using Python, SQL, and AWS services (SageMaker, Redshift, Glue).
- Build and maintain robust data pipelines for real‑time transaction monitoring and risk scoring.
- Collaborate with cross‑functional teams to translate regulatory requirements into technical specifications.
- Lead model validation, performance monitoring, and continuous improvement initiatives.
- Communicate findings and recommendations to senior leadership and regulatory bodies.
Requirements
- 5+ years of experience in data science, with a focus on AML or financial crime analytics.
- Proficiency in Python, SQL, and AWS cloud architecture.
- Strong background in machine learning algorithms, feature engineering, and model explainability.
- Experience with data modeling, ETL processes, and large‑scale data environments.
- Excellent analytical, problem‑solving, and communication skills.
Skills
pythonsqlmachine learningaws