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Santander is a global leader and innovator in the financial services industry. We believe that our employees are our greatest asset. Our focus is on fostering an enriching journey that empowers you to explore diverse career opportunities while nurturing your personal growth. We are committed to creating an environment where continuous learning and development are prioritized enabling you to thrive both professionally and personally. Here you will find ample opportunities to connect and collaborate with talented colleagues from around the world sharing insights and driving innovation together. Join us at Santander where you are supported by a culture of engagement and a commitment to your success.
An exciting journey awaits if you are interested in exploring the possibilities We Want to Talk to You!
Job Description
The Difference You Make:
The Sr. Specialist Model Development 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.
Develops a thorough understanding of the firms operations and business practices.
Uses internal and external data sources to create robust model development and analytical datasets.
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.
Incorporate credit risk customer behavior collateral trend and market data into pricing algorithms.
Explore opportunity to enhance Dealer Management program to grow our business with top-performing partners.
Encapsulates analytic findings into executive-level summary documents to support senior management decision-making.
Participates in the construction of complex mathematical models including credit origination and customer behavior scorecards - which directly support critical decision-making processes and the companys overall understanding of the markets within which we operate and our customers.
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.
Develops the underlying assumptions theory empirical evidence and conceptual soundness of statistical and mathematical models.
Ensure model documentations validation and governance aligned with internal policies and regulatory expectations.
What You Bring:
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.
Bachelors Degree or equivalent work experience: Statistics Economics Operations Research Applied Mathematics or a related quantitative discipline required or equivalent experience - Required.
Masters 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 or equivalent.- 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.
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.
Certifications:
No Certifications listed for this job.
It Would Be Nice For You To Have:
Established work history or equivalent demonstrated through a combination of work experience training military service or education.
What Else You Need To Know:
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.
Minimum:
Maximum:
Link to Santander Benefits:
Santander Benefits - 2025 Santander OnGoing/NH eGuide ()
Risk Culture:
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.
EEO Statement:
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.
Working Conditions:
Frequent minimal physical effort such as sitting standingand walking is required for this role. Depending on location occasional moving and lifting light equipment and/or furniture may be required.
Employer Rights:
This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason.
What To Do Next:
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 to discuss your needs.
Required Experience:
IC
Full-Time