Quantitative Model Developer

Quantitative Model DeveloperCountry : United States of America

• Your Journey Starts Here :
• 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!
• The Difference You Make :
• At Santander, we believe in empowering people through innovation, data, and forward-thinking risk management. As part of our Model Development team, you’ll help design and implement cutting-edge quantitative models that drive real-world decisions impacting millions of customers. This is more than a job, it’s an opportunity to apply your advanced training in quantitative methods to solve complex challenges in credit risk, balance sheet management, and stress testing. Join a dynamic, intellectually curious team where your voice matters, your work has impact, and your career can grow.As a Quantitative Model Developer you :
• Design and develop advanced statistical models across consumer, commercial, wholesale, and treasury businesses that will directly influence the bank’s risk strategy and decision-making.
• Translate complex data and business needs into innovative, regulatory-compliant solutions that influence critical areas such as underwriting, loss forecasting (HCR / DFAST), CECL / IFRS reserves, and portfolio management.
• Collaborate with diverse stakeholders including senior management and business leaders to regulators and auditors to ensure models are transparent, explainable, and robust.
• Document, monitor, and continuously improve models to maintain accuracy, stability, and compliance with evolving regulatory standards.
• Share insights through presentations and reports tailored for audiences ranging from technical peers to senior executives.
• 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.Bachelor's Degree in Statistics, Mathematics, Economics or other quantitative discipline or equivalent work experience. - Required.Master’s or PhD in Statistics, Computer Science, Economics, Mathematics, Data Science, Engineering, or a related quantitative field. – Preferred.
• Technical Expertise : Strong foundation in statistics, econometrics, computer science, and quantitative methods (e.g., regression, time series, machine learning, clustering, decision trees).
• Programming Skills : Proficiency in SAS and SQL; familiarity with Python, R, or QRM is a plus.
• Critical Thinking : Ability to break down complex problems, test assumptions, and design creative solutions.
• Communication : Excellent written and verbal communication skills, including the ability to explain technical results to non-technical stakeholders.
• Regulatory Awareness : Familiarity with model risk management frameworks (HCR, CECL / IFRS) is advantageous.
• Collaborative Culture : Work alongside world-class quants in a supportive, innovative environment.
• 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.##
• Base Pay Range
• Minimum : $67,500.00 USDMaximum : $140,000.00 USD
• Link to Santander Benefits :
• 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, standing and 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 TAOps@santander.us to discuss your needs.

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