AML Modeling Specialist

Overview

Santander is a global leader and innovator in the financial services industry. We believe that our employees are our greatest asset and foster an enriching journey that empowers you to explore diverse career opportunities while nurturing your personal growth. Join us at Santander, where you are supported by a culture of engagement and a commitment to your success.

• Develop and implement AML detection and segmentation models using statistical and machine learning techniques.
• Partner with compliance, risk, and data science teams to ensure model outputs align with business objectives and regulatory standards.
• Analyze transaction data to identify emerging money laundering patterns and typologies.
• Perform model validation, back‑testing, and performance monitoring to ensure accuracy and effectiveness.
• Prepare model documentation, regulatory submissions, and audit materials.
• Support ongoing model governance, tuning, and optimization efforts to reduce false positives and improve efficiency.

Education:

Bachelor’s Degree in Statistics, Mathematics, Economics, or equivalent quantitative discipline. Master’s Degree preferred.

• 3+ years of experience in Risk Management, Risk Modeling, or AML requirements.
• Deep understanding of AML processes, transaction monitoring systems, and financial crime risk.
• Proficiency in data analysis, model development, and statistical tools (Python, SAS, SQL, or R).
• Collaborative approach and ability to communicate technical findings to non‑technical stakeholders.
• Commitment to operational excellence, model integrity, and regulatory compliance.
• Strong analytical mindset with the ability to translate complex data into actionable insights.

Base pay range: $67,500 – $140,000 per year. Exact compensation may vary based on skills, experience, training, licensure, certifications, and location.

At Santander, we value and respect differences in our workforce. Santander is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law.