Senior Associate, Statistical Modeling

When you join Sallie Mae, you become a champion for all students.

We’re on a mission to power confidence as students begin their unique journey. To help them plan their higher education, successfully finish, and prepare for life after school. To help them Start smart. Learn big.

Students need guidance navigating this important time in their life. They need someone who acknowledges that their education path is unique. They need a partner willing to evolve and not only meet but surpass their expectations. We’re changing. Because students need a better way.

We’re looking for people who are excited to drive this transformation. To break barriers and think of new ways to adapt, help, and create better experiences for students—and for each other.

This is where diverse backgrounds, beliefs, and perspectives matter. It’s where you’re empowered to bring your authentic self to work.

Feeling your best allows you to do your best. Our benefits take care of the whole you—from physical and mental to financial and professional. You’ll get opportunities to further your education and career, support for you and your family (including your pets!), paid time off to volunteer for the things that matter to you, and more.

We’re obsessed with impact and making a real difference. For us, that means putting relationships first, asking “why not?” when tackling challenges, and continuously learning new skills.

Come do more than join something, change something. For students, for future generations, for the future of education.

The Senior Associate, Statistical Modeling will be responsible for supporting the development and implementation of statistical models and methodologies to drive data-informed decision-making within the organization. This role is ideal for individuals with a strong foundation in statistical modeling and machine learning. The candidate will play a key role in developing, validating, and enhancing credit risk models, working closely with business stakeholders to ensure alignment and applicability of model outputs.

• Assist in the development and implementation of statistical models, algorithms, and methodologies to analyze complex data sets and solve business problems.
• Collaborate with cross-functional teams, including data scientists, data engineers, business analysts, and stakeholders, to understand business objectives and contribute to statistical modeling projects.
• Analyze and interpret large and diverse datasets to extract meaningful insights.
• Assist in evaluating and validating statistical models to ensure accuracy, reliability, and scalability.
• Contribute to the documentation of statistical models, methodologies, and findings.
• Prepare reports and presentations to communicate results, insights, and recommendations to team members and stakeholders.

The above information is intended to describe the general nature and level of work performed by employees assigned to this job; it is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees in this role.

Minimum education, skills and experience required.

• Master's degree in Statistics, Mathematics, Data Science, or a related field.
• Proficiency in statistical programming languages such as SAS, SQL or Python.
• Knowledge of statistical modeling techniques, including regression analysis, time series analysis, predictive modeling, and machine learning algorithms.
• Familiarity with data visualization tools and techniques.
• Strong analytical and problem-solving skills, with the ability to work with large and complex data sets.
• Detail-oriented with a strong focus on accuracy and quality.
• Effective communication and interpersonal skills, with the ability to collaborate with team members and stakeholders.

• Doctorate’s degree in Statistics, Mathematics, Data Science, or a related field.
• 3+ years of experience in statistical modeling or data analysis.
• Expertise in advanced technologies, including machine learning and generative AI.
• Exposure to cloud platforms and tools such as AWS and Git technology.
• Familiarity…