Associate, Model Development (Hybrid Position)

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: 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 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 & Sponsors