Pricing & Credit Model Analyst Country: United States of America Your Journey Starts Here: Santander is a global leader and innovator in the financial services industry. We believe that our employees are our greatest asset. Our focus is on fostering an enriching journey that empowers you to explore diverse career opportunities while nurturing your personal growth. We are committed to creating an environment where continuous learning and development are prioritized, enabling you to thrive both professionally and personally. Here, you will find ample opportunities to connect and collaborate with talented colleagues from around the world, sharing insights and driving innovation together. Specialist, 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. • Develops a thorough understanding of the firm’s operations and business practices. • Uses internal and external data sources to create robust model development and analytical datasets. • 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. • Incorporate credit risk, customer behavior, collateral trend and market data into pricing algorithms. • Encapsulates analytic findings into executive-level summary documents to support senior management decision-making. • Participates in the construction 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 the markets within which we operate, and our customers. • Liaisons 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 . • Ensure model documentations, validation, and governance aligned with internal policies and regulatory expectations. 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. - Statistics, Economics, Operations Research, Applied Mathematics, or a related quantitative discipline required or equivalent experience - Preferred. 3 Years Analytics in Financial Services Industry or equivalent. - 3 Years Indirect subprime Auto Financial Services Industry experience. - 3 Years Prior experience developing credit scoring models 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 preferred. • Demonstrated ability to use SQL and SAS to extract data from multiple data sources. Working knowledge of Python/R preferred. • 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. • 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. 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. 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. 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. Depending on location, occasional moving and lifting light equipment and/or furniture may be required . You may be evaluated in part based upon your performance of the tasks listed in this job description. 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. 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