Santander US

Santander US

USA Sr. Specialist, Model Development (Remote-Texas)

Dallas-Corporate THX · Senior

Sponsorship not specifiedDetected 16 days ago
PythonSQLStatisticsA/B TestingSASResearchCommunicationMicrosoft Office

About the role

  • 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 position is highly quantitative in nature and requires an individual capable of taking a "hands on" approach to data analysis.

Responsibilities

  • Develops the underlying assumptions, theory, empirical evidence, and conceptual soundness of statistical and mathematical models.
  • Uses internal and external data sources to create robust model development datasets.
  • 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.
  • 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).
  • You can expect a fair and competitive rewards package that reflects the impact you create and the value you deliver.

Requirements

  • 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.
  • Bachelor's Degree or equivalent work experience: Statistics, Economics, Operations Research, Applied Mathematics, or a related quantitative discipline required or equivalent experience- Required.
  • 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.
  • 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 Analytics in Financial Services Industry. - Required.
  • 3+ Years Indirect subprime Auto Financial Services Industry experience. - Preferred.
  • 3+ Years Prior experience developing credit scoring models preferred. - Preferred.
  • Familiarity with logistic regression models, segmentation and variable reduction techniques, hypothesis testing, neural networks, design of experiments, ANOVA, decision trees, and linear regression.
  • Demonstrated ability to create complex pivot tables in MS Excel.

Nice to have

  • Ph.D.: Statistics, Economics, Operations Research, Applied Mathematics, or a related quantitative discipline required or equivalent experience
  • 3+ Years Analytics in Financial Services Industry.
  • 3+ Years Indirect subprime Auto Financial Services Industry experience.
  • 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.
  • Ability to effectively explain advanced mathematical concepts, techniques, and analyses to a business audience.

Compensation

  • $65,625.00 USD Maximum:
  • $145,000.00 USD
  • The base pay range for this position is posted below and represents the annualized salary range.
  • 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.

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)

Company info

  • 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.
  • 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.
  • If this sounds like a role you are interested in, then please apply.
  • 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 TAOps@santander.us to discuss your needs.
  • 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.

Equal opportunity

  • At Santander, we value and respect differences in our workforce.
  • We actively encourage everyone to apply.
  • Santander is an equal opportunity employer.
  • 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.

This listing is sourced directly from Santander US's careers page and normalized into a canonical job model.