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 Sr. Specialist, Model Development is responsible for developing and maintaining 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. Quantitative Modeler II is expected to interact with many other departments in the interest of achieving the overall company objectives.
Responsibilities:
- Participates in the construction of complex mathematical models – including credit origination, pricing and customer behavior scorecards – which directly support critical decision‑making processes and the company’s overall understanding of our business, the markets within which we operate, and our customers.
- 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.
- 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 for analytic projects.
- Provides requisite information in support of independent model validation activities.
- Develops a thorough understanding of the firm’s operations and business practices.
- Supports 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:
- 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.
- 3+ Years Analytics in Financial Services Industry. - Required.
- 3+ Years Indirect subprime Auto Financial Services Industry experience. - Preferred.
- 3+ Years Prior experience developing credit scoring models preferred. - Preferred.
- Familiarity 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 strongly preferred.
- Prior experience using Python, or SAS, SQL.
- Demonstrated ability to use SQL and Python to extract data from multiple data sources.
- Demonstrated ability to merge, concatenate, 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 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.
- Experience in Microsoft Office products.
What Else You Need To Know:
The base pay range for this position is posted below and represents the annualized salary range. For hourly posit