Pricing & Credit Model Analyst (Hybrid Position)

Santander • Dallas, TX

3d • $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 Sr. Specialist, Pricing & Credit Model Analyst is responsible for developing pricing and risk-based models to optimize Auto loan pricing strategies. This role also involves development and maintenance of sophisticated empirical models - including credit scoring models. The position is highly quantitative in nature and requires an individual capable of taking a "hands-on" approach to data analysis. You will work closely with credit risk, finance, data science, and product teams to deliver actionable insights that balance risk, profitability, and competitiveness. This position blends strategic business problem solving with quantitative modeling expertise. You will work closely with leadership to translate complex data insights into clear business actions. Develops a thorough understanding of the firm’s operations and business practices. Applies statistical techniques to analyze trends and uncover risks and opportunities relative to portfolio management and originations. Utilizes data mining and statistical techniques to develop analytic insights, sound hypotheses, and informed recommendations.

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 or equivalent. - 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 preferred.
• Demonstrated ability to use SQL and SAS to extract data from multiple data sources.
• Working knowledge of Python/R preferred.
• 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.
• Ph.D. Statistics, Economics, Operations Research, Applied Mathematics, or a related quantitative discipline required or equivalent experience
• 3+ Years Indirect subprime Auto Financial Services Industry experience.
• 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.

Responsibilities

• Develop pricing frameworks that balance yield, risk, and volume objectives.
• Incorporate credit risk, customer behavior, collateral trend and market data into pricing algorithms.
• Develop actionable recommendations to improve underwriting strategy, portfolio performance, and credit policies.
• Explore opportunity to enhance Dealer Management program to grow our business with top-performing partners.
• Participates in the construction of complex mathematical models – including credit origination and customer behavior scorecards - which directly support critical decision-making processes.
• Contribute to continuous process improvements in data quality, reporting, and automation.
• Liaisons with IT and other internal teams to define requirements and ensure the timely and accurate delivery of data elements for analytic projects, changes to Pricing & Policy.
• Encapsulates analytic findings into executive-level summary documents to support senior management decision-making.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees