Specialist, Model Development - (Hybrid Position-Dallas)

Santander • Dallas, TX

1d • $58,125 - $127,500 • 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 Specialist, Model Development participates in 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 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 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. Assists in developing 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. Encapsulates analytic findings into executive-level summary documents to support senior management decision-making. Utilizes data mining and statistical techniques to develop analytic insights, sound hypotheses, and informed recommendations. Liaisons internal and external teams to define requirements and ensure the timely and accurate delivery of data elements for analytic projects.

Requirements

• Bachelor's Degree or equivalent work experience: Business, Finance, or equivalent degree. - Preferred.
• 0+ Years Auto Finance industry experience. - Required.
• 0+ Years Sales experience with automotive finance lender strongly preferred - Preferred.
• Thorough knowledge of credit policy rules, state and federal regulations and application processing systems is required.
• Sales experience with automotive finance lender strongly preferred.
• Working business knowledge of credit application systems and DMS providers.
• Demonstrated ability to understand high level financial and process concepts, and create product process roadmaps.
• Ability to formulate and present clear and persuasive presentations, proposals, and project plans.
• Ability to explain statistical concepts to a business audience.
• Excellent written and verbal communication skills.
• Excellent interpersonal skills.
• Ability to maintain confidentiality.

Nice To Haves

• 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 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.
• Assists in developing 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.
• Encapsulates analytic findings into executive-level summary documents to support senior management decision-making.
• Utilizes data mining and statistical techniques to develop analytic insights, sound hypotheses, and informed recommendations.
• Liaisons internal and external teams to define requirements and ensure the timely and accurate delivery of data elements for analytic projects.

Benefits

• 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: Mid Level
• Number of Employees: 5,001-10,000 employees