Senior Associate, Statistical Modeling

Sallie Mae • Newark, DE

172d • Hybrid

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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 with model governance frameworks and prior experience in supporting model validation processes.

Responsibilities

• 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.

Benefits

• Competitive base salaries
• Bonus incentives
• Generous PTO, Floating Holidays and 12 Federal Holidays observed
• Support for financial-well-being and retirement 401k with employer match
• Comprehensive medical, dental, vision, hospital indemnity, critical illness, pet insurance and more
• Employer paid short-term/long-term disability and basic life insurance
• Flexible hybrid working arrangements
• Paid parental leave and adoption reimbursement programs
• Free access to on-site staffed fitness centers (in Delaware) and gym subsidy (for locations outside Delaware)
• Confidential counseling support (EAP), Health Advocacy services and Wellness program with financial incentives
• Tuition Reimbursement and Family Scholarship Programs
• Career development and training opportunities

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Credit Intermediation and Related Activities
• Education Level: Master's degree