Sr. Model Development Analyst (Hybrid-DFW Area)

Santander•Dallas, TX

15d•$65,625 - $145,000•Hybrid

About The Position

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. 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).

Requirements

Bachelor's Degree or equivalent work experience: Statistics, Economics, Operations Research, Applied Mathematics, or a related quantitative discipline required or equivalent experience- Required.
3+ Years Analytics in Financial Services Industry. - Required.
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.

Nice To Haves

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 Indirect subprime Auto Financial Services Industry experience. - Preferred.
3+ Years Prior experience developing credit scoring models preferred.
Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education.
Experience in Microsoft Office products.

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).