Associate, Quantitative Risk Modeling & Analytics

Banco Santander SA; United States; On-site; USD 90,000 - 170,000; Full time

Job summary

Santander is seeking an Associate, Risk Modeling to support the development, implementation, monitoring, and enhancement of quantitative risk models for credit risk assessment and portfolio management. The role collaborates with risk, credit, business lines, data and technology teams to deliver scalable analytical solutions.

The position requires strong quantitative skills, experience in risk modeling, and a track record of delivering regulatory-ready models in a financial environment.

Qualifications

• Bachelor’s degree in a related field or equivalent combination of work experience, training, or education is required.
• Master’s degree in a related field or equivalent preferred.

Responsibilities

• 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 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 requirements into scalable analytical solutions.

Skills

Quantitative skills

Modeling experience

Attention to detail

Statistical modeling

Data analysis

Credit risk

Communication skills

Education

Bachelor’s Degree

Master’s Degree

Tools

Python

SQL

Snowflake

Job description

Santander is seeking an Associate, Risk Modeling to support the development, implementation, monitoring, and enhancement of quantitative risk models for credit risk assessment and portfolio management. The role collaborates with risk, credit, business lines, data and technology teams to deliver scalable analytical solutions.

The position requires strong quantitative skills, experience in risk modeling, and a track record of delivering regulatory-ready models in a financial environment.