Commercial Risk Model Development Associate

It Starts Here:
Santander is a global leader and innovator in the financial services industry and is evolving from a high-impact brand into a technology-driven organization. Our people are at the heart of this journey and together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what’s possible. This is more than a strategic shift. It’s a chance for driven professionals to grow, learn, and make a real difference.

If you are interested in exploring the possibilities

The Quantitative Risk Modeling team is responsible for the development, implementation, monitoring, and governance of quantitative credit risk models that support Santander's commercial lending portfolios. The team partners closely with Risk, Credit, Business Line, Data, Technology, and Model Risk Management stakeholders to enhance the bank's risk assessment framework, improve portfolio management, and meet regulatory expectations.

The Associate, Risk Modeling is responsible for supporting the development, implementation, monitoring, and enhancement of quantitative risk models that inform credit risk assessment, portfolio management, allowance methodologies, and strategic decision-making. Develops, enhances, implements, and monitors quantitative risk models and analytical frameworks. Performs data analysis, data engineering, and statistical modeling to support risk measurement and credit decisioning. Evaluates model performance and stability through ongoing monitoring, back-testing, sensitivity analysis, and benchmarking.

Identifies opportunities to improve model methodologies, predictive performance, and operational efficiency. Partners with business, credit, risk, and technology stakeholders to translate business requirements into scalable analytical solutions. Supports model documentation, testing, implementation, and governance processes throughout the model lifecycle. Contributes to the development of innovative risk analytics capabilities leveraging emerging technologies, automation, and advanced data techniques.

The Associate, Risk Modeling is responsible for supporting the development, implementation, monitoring, and enhancement of quantitative risk models that inform credit risk assessment, portfolio management, allowance methodologies, and strategic decision-making. Develops, enhances, implements, and monitors quantitative risk models and analytical frameworks. Performs data analysis, data engineering, and statistical modeling to support risk measurement and credit decisioning. Evaluates model performance and stability through ongoing monitoring, back-testing, sensitivity analysis, and benchmarking.

Identifies opportunities to improve model methodologies, predictive performance, and operational efficiency. Partners with business, credit, risk, and technology stakeholders to translate business requirements into scalable analytical solutions. Supports model documentation, testing, implementation, and governance processes throughout the model lifecycle. Contributes to the development of innovative risk analytics capabilities leveraging emerging technologies, automation, and advanced data techniques.

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The Associate, Risk Modeling is responsible for supporting the development, implementation, monitoring, and…