Senior Associate, Fraud Strategy Analyst

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.

What You'll Contribute

As the Fraud Strategy Senior Associate
, you will support fraud analytics and strategy initiatives, working closely with fraud, analytics, and cross-functional partners to analyze data, generate insights, and drive data-driven fraud decision-making. This role is responsible for helping design, implement, and continuously optimize fraud strategies to mitigate risk while supporting business objectives.

What You'll Do

• Support fraud and analytics teams in conducting data analysis, modeling, and reporting to deliver insights and actionable recommendations related to fraud risk and strategy performance.
• Create, implement, and optimize fraud strategies using data-driven insights, including evaluating effectiveness, monitoring performance, and identifying enhancement opportunities.
• Gather, clean, and prepare data for analysis, ensuring accuracy and consistency across fraud and analytics use cases.
• Develop models and forecasts to support fraud risk assessment, strategy tuning, and broader business planning and decision-making.
• Monitor key fraud metrics and trends to identify emerging risks, strategy gaps, and opportunities for improved detection and prevention.
• Create presentations summarizing findings and provide clear, well-supported recommendations to leadership to influence fraud and business strategy decisions.
• Create and maintain data documentation, data dictionaries, fraud strategy documentation, and standard operating procedures as needed.
• Contribute to the continuous improvement of data quality, data governance, and fraud strategy management processes.

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.

What You Have

Minimum:
Indicate minimum education, skills and experience required.

• Experience with SQL, Python, R, or other programming languages commonly used in analytics and fraud analysis.
• Strong attention to detail with the ability to deliver high-quality, accurate work in a risk-sensitive environment.
• Excellent communication skills, with the ability to present complex data and fraud concepts clearly and concisely to stakeholders at all levels of the organization.
• Strong problem-solving and critical-thinking skills, particularly in evaluating risk tradeoffs and strategy effectiveness.
• Demonstrated ability to work collaboratively across departments and functions, including fraud, analytics, technology, and business partners.
• Familiarity with data…