AML Compliance Model Developer – Associate

About the role

Santander is seeking an AML Compliance Model Developer – Associate to design, build, and maintain advanced anti‑money‑laundering models and transaction monitoring scenarios. You will work with large financial data sets, applying data‑science techniques to enhance detection capabilities and reduce false alerts.

Key responsibilities

• Develop, enhance, and maintain AML compliance models, including machine‑learning and AI‑based solutions.
• Apply statistical modeling, natural language processing, and feature engineering to structured and unstructured data.
• Perform data analysis using SAS, SQL, and Python to identify trends, anomalies, and data‑quality issues.
• Design complex SQL queries, stored procedures, and data‑extraction scripts to support investigations and model testing.
• Create Python automation scripts to improve operational efficiency.
• Execute model testing activities (SIT, UAT, regression, defect validation) and support production releases.
• Collaborate with Compliance, Technology, Model Risk, and Business teams to gather requirements and implement monitoring solutions.
• Maintain technical documentation, Jira stories, defect logs, and ensure adherence to SDLC and governance standards.

Required profile

• Bachelor’s degree in Computer Science, Data Analytics, Finance, Mathematics or a related field.
• 3–5 years of experience in AML compliance technology, model development, or a similar banking/financial services role.
• Strong analytical mindset with experience in model validation and performance monitoring.

Required skills

• SAS
• SQL
• Python
• Machine Learning
• Artificial Intelligence
• Natural Language Processing
• Statistical Modeling
• Jira