Senior Associate, Fraud Strategy Analyst

About the role

Sallie Mae is committed to empowering students by providing them with the resources they need to succeed in their educational journeys. We are seeking a Fraud Strategy Senior Associate to join our team.

Responsibilities

• 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.

Requirements

• 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 visualization tools such as Tableau, Power BI, or similar platforms.
• Experience in e-commerce or retail analytics is preferred.

Qualifications

• Minimum: Bachelor’s degree in mathematics, statistics, economics, computer science, or a related field. Three (3) years of experience in analytics, fraud strategy, fraud operations, or a related field.

Skills

• 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 visualization tools such as Tableau, Power BI, or similar platforms.
• Experience in e-commerce or retail analytics is preferred.

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
• 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