Associate, Model Development

Santander • Dallas, TX

1d • $90,000 - $170,000 • Onsite

About The Position

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).

Requirements

• Bachelor’s Degree: in related field or equivalent demonstrated through a combination of work experience, training, military service, or education - Required
• 5+ Years Analytics in Financial Services Industry. - Required.
• 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.
• 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.

Nice To Haves

• Master's Degree: in related field or equivalent demonstrated through a combination of work experience, training, military service, or education - Preferred
• 5+ Years Indirect subprime Auto Financial Services Industry experience. - Preferred.
• 5+ Years Prior experience developing credit scoring models preferred. - Preferred.
• Additional knowledge of R preferred.
• Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education.

Responsibilities

• 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).

Benefits

• 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)

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level