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 We Want to Talk to You!

The Difference You Make:
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.

Position Summary

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.

What You Bring:
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 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.

What You Bring:

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.

Education

• Bachelor’s Degree: in related field or equivalent demonstrated through a combination of work experience, training, military service, or education - Required.
• Master's Degree: in related field or equivalent demonstrated through a combination of work experience, training, military service, or education - Preferred.

Professional Experience

• 5+ Years Risk Management, Risk Modeling, AML - Required.
• Experience programming in Python, SQL, or similar analytical tools - Required.
• Experience developing, implementing, monitoring, or validating quantitative risk models in a regulated financial institution - Required.
• Experience working with large-scale financial, credit, and portfolio datasets and addressing data quality and data lineage challenges. - Required.
• Experience in commercial credit risk, risk rating models, probability of default (PD) modeling, loan risk assessment, or related credit risk disciplines - Preferred.
• Experience working with data platforms and analytical environments, including Snowflake or similar cloud-based solutions. - Preferred.
• Experience supporting model documentation, governance, validation, testing, or regulatory examination activities - Preferred.

Skills

• Advanced quantitative skills.
• Demonstrated practical modeling experience.
• Detail orientated with the ability to also understand overall strategy.
• Knowledge of statistical modeling, predictive analytics, model performance monitoring, and model governance practices.
• Ability to analyze large and complex datasets and identify data quality issues, anomalies, and trends.
• Understanding of commercial lending, credit risk measurement, and risk rating frameworks.
• Ability to multi-task and meet strict deadlines.
• Ability to adjust to new developments/changing circumstances.
• Ability to build and foster internal relationships.
• Strong written and verbal communication skills.

Certifications:

No Certifications listed for this job.

It Would Be Nice For You To Have:

Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education.

Work Authorization & Sponsorship:
Applicants must be legally authorized to work in the United States on a full-time basis without requiring employer sponsorship to commence employment.

What Else You Need To Know:

The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location.

Base Pay Range:

Minimum:

Maximum:

Risk Culture:

We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management.

EEO Statement:

At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. 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.

Working Conditions:

Frequent minimal physical effort such as sitting, standing and walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required.

Employer Rights:

This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason.

What To Do Next:

Review the internal eligibility guidelines here. If this sounds like a role you are interested in, then please apply.

We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at TAOps@santander.us to discuss your needs.