Associate, Model Development (Hybrid Position)

Banco Santander SA; Dallas (TX); Hybrid; USD 90,000 - 170,000; Full time

Job summary

Banco Santander SA seeks an Associate, Model Development for a hybrid work arrangement in the United States. The role develops and maintains advanced credit scoring and other empirical models, using SAS, SQL, and R, and reports results to internal and external clients.

The position emphasizes quantitative modeling, data preparation, and collaboration with IT and validation teams, with opportunities to mentor junior statisticians.

Qualifications

• 5+ years analytics in financial services.
• 5+ years indirect subprime auto financial services experience.
• 5+ years experience developing credit scoring models.
• Experience with logistic regression, segmentation, variable reduction, regression techniques.
• Experience with credit bureau data.
• Proficient in SAS (base, STAT, SQL, Macro).
• Knowledge of R preferred.
• Proficient in SQL and SAS data extraction across sources.
• Ability to merge and prep very large datasets.
• Ability to create complex MS Excel pivot tables.
• Ability to explain math concepts to a business audience.
• Ability to translate analysis into a business plan.
• Strong written and verbal communication skills.
• Ability to coordinate multiple modeling tasks and maintain confidentiality.

Responsibilities

• Supervise development and maintenance of empirical models (credit origination and behavior scorecards).
• Summarize and report modeling results to internal/external clients.
• Ensure models comply with policies and regulatory expectations.
• Identify modeling needs and coordinate with the Director Quantitative Modeling.
• Develop data-driven insights and executive summaries for decision makers.
• Collaborate with IT to define data requirements and delivery timelines.
• Support model validation activities and documentation.
• Mentor junior statisticians and maintain domain knowledge.

Skills

Logistic regression

Credit scoring

SAS

SQL

R

Neural networks

Data analysis

Model validation

Communication

Excel pivot tables

Education

Bachelor’s degree in related field

Master’s degree in related field

Tools

SAS

PROC SQL

SAS Macro

R

MS Excel

Job description

Associate, Model Development (Hybrid Position)

Country: United States of America

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 Associate, Model Development is responsible for supervising the development and maintenance of sophisticated empirical models - including credit scoring models - for a nonprime auto lender. The position is highly quantitative in nature and requires an individual capable of taking a "hands on" approach to data analysis.

This position is furthermore responsible for summarizing and reporting information to a variety of internal and external clients.

Supervises the development of complex mathematical models – including credit origination and customer behavior scorecards - which directly support critical decision making processes and the company’s overall understanding of our business, the markets with Develops the underlying assumptions, theory, empirical evidence, and conceptual soundness of statistical and mathematical models.

Applies statistical techniques to analyze trends and uncover risks and opportunities relative to portfolio management and originations.

Uses internal and external data sources to create robust model development datasets.

Ensures modeling projects are conducted in accordance with established company policies and generally-accepted mathematical modeling practices.

Identifies modeling needs and communicates them to the Director Quantitative Modeling.

Periodically assesses department procedures for accuracy and completeness.

Utilizes data mining and statistical techniques to develop analytic insights, sound hypotheses, and informed recommendations.

Encapsulates analytic findings into executive-level summary documents to support senior management decision-making.

Liaisons with IT and other internal teams to define requirements and ensure the timely and accurate delivery of data elements required for analytic projects.

Provides requisite information in support of independent model validation activities.

Actively participates in the professional development of junior-level statisticians.

Develops a thorough understanding of the firm’s operations and business practices.

Support Model Validation and documentation of models in accordance with Santander Consumer USA internal policies and U.S. Federal Reserve regulations (SR 11-07).

What You Bring:

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.

Required and Preferred Qualifications:

• 5+ Years Analytics in Financial Services Industry. - Required.
• 5+ Years Indirect subprime Auto Financial Services Industry experience. - Preferred.
• 5+ Years Prior experience developing credit scoring models preferred. - Preferred.
• Demonstrated experience with logistic regression models, segmentation and variable reduction techniques, hypothesis testing, neural networks, design of experiments, ANOVA, decision trees, and linear regression.
• Prior experience working with credit bureau data.
• Prior experience using SAS, particularly SAS base, SAS/STAT, PROC SQL, and SAS Macro programming.
• Additional knowledge of R preferred.
• Demonstrated ability to use SQL and SAS to extract data from multiple data sources.
• Demonstrated ability to merge, concatenate, clean, and prepare extremely large datasets for statistical analysis and mathematical model development.
• Demonstrated ability to create complex pivot tables in MS Excel.
• Ability to effectively explain advanced mathematical concepts, techniques, and analyses to a business audience.
• Ability to translate analysis into a clear business plan.
• Strong written and verbal communication skills.
• Ability to delegate and co-ordinate multiple tasks related to the development and monitoring of statistical models.
• Ability to maintain confidentiality..

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: $90,000.00 USD Maximum: $170,000.00 USD

We Value Your Impact:

• Your contribution matters and it’s recognized.
• You can expect a fair and competitive rewards package that reflects the impact you create and the value you deliver.
• We know rewards go beyond numbers. Offering more than just a paycheck our benefits are designed to support you, your family and your well-being, now and into the future.
• Santander Benefits - 2026 Santander OnGoing/NH eGuide (foleon.com)
• 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:

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 [e-mail] to discuss your needs.

The Santander Way

The Santander Way Santander is evolving from a global, high-impact brand into a technology-driven organization, and our people are at the heart of this journey. 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. Our mission is to contribute to help more people and businesses prosper. We embrace a strong risk culture and all our professionals at all levels are expected to take a proactive and responsible approach toward risk management. Ready to make it happen? It starts with you. It starts here.