Commercial & AML Compliance Risk Model Validation Associate

The Associate, Risk Modeling is responsible for executing model risk management activities consistent with the enterprise model risk management framework, industry best-practice and regulatory guidance.

• Validates commercial and anti-money laundering (AML) credit risk models to ensure they comply with regulatory requirements and internal policies.
• Develops complex data analysis queries using SQL, SAS, Python, and ETL tools to identify trends, issues, and findings in our systems.
• Evaluates model assumptions and data integrity to ensure accuracy and consistency.
• Assesses the conceptual soundness of risk models and tests their numerical, statistical, and computational accuracy.
• Ensures adherence to established policies and procedures, including monitoring and managing risk exposure and compliance.
• Identifies and reports on areas of risk within the company, providing recommendations for improvement.

Requirements:

• Bachelor's degree or equivalent work experience in a related field.
• At least 5 years of experience in model development and/or validation in the banking or financial services industry.
• Proficiency in programming languages such as SAS, Python, R, and Oracle.
• Advanced knowledge of model risk management best practices and ability to implement them.
• Strong analytical and problem-solving skills, with attention to detail and ability to understand overall strategy.

Santander is an equal opportunity employer. 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.