Pricing & Credit Model Associate (Hybrid Position)

Pricing & Credit Model Associate (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 Associate, Model Development is responsible for developing pricing and risk-based models to optimize Auto loan pricing strategies. This role also involves development and maintenance of sophisticated empirical models - including credit scoring models. The position is highly quantitative in nature and requires an individual capable of taking a "hands-on" approach to data analysis. You will work closely with credit risk, finance, data science, and product teams to deliver actionable insights that balance risk, profitability, and competitiveness.

This position blends strategic business problem solving with quantitative modeling expertise. You will work closely with leadership to translate complex data insights into clear business actions.
 

• Develops a thorough understanding of the firm’s operations and business practices.
• Applies statistical techniques to analyze trends and uncover risks and opportunities relative to portfolio management and originations.
• Utilizes data mining and statistical techniques to develop analytic insights, sound hypotheses, and informed recommendations.
• Develop pricing frameworks that balance yield, risk, and volume objectives. Incorporate credit risk, customer behavior, collateral trend and market data into pricing algorithms.
• Develop actionable recommendations to improve underwriting strategy, portfolio performance, and credit policies.
• Participates in the construction of complex mathematical models – including credit origination and customer behavior scorecards - which directly support critical decision-making processes.
• Contribute to continuous process improvements in data quality, reporting, and automation.
• Partners with IT and other internal teams to define requirements and ensure the timely and accurate delivery of data elements for analytic projects, changes to Pricing & Policy.
• Encapsulates analytic findings into executive-level summary documents to support senior management decision-making.

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.

• Bachelor's Degree or equivalent work experience: Statistics, Economics, Operations Research, Applied Mathematics, or a related quantitative discipline required or equivalent experience. - Required.
• Master's Degree: Statistics, Economics, Operations Research, Applied Mathematics, or a related quantitative discipline required or equivalent experience. - Preferred.
• Ph.D.: Statistics, Economics, Operations Research, Applied Mathematics, or a related quantitative discipline required or equivalent experience. - Preferred.
• 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.

Certifications:

• No Certifications listed for this job.
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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.
• Location: Dallas, Texas. Hybrid role requiring up to 3 days/week in the office.

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 USDMaximum:

$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 [email protected] to discuss your needs.