Fraud Prevention Analyst I - SQL Required

$52,760 - $86,000/Yr

FIS - Saint Petersburg, FL

Full-time - Entry Level

Saint Petersburg, FL

Professional, Scientific, and Technical Services

About the position

The Fraud Prevention Analyst I position at FIS Global is designed for individuals who are curious, motivated, and forward-thinking. This role involves analyzing fraud metrics, identifying trends, and implementing strategies to combat fraud. The analyst will work with large-scale business data sets, utilizing advanced skills in data manipulation and SQL to support fraud products and client needs. The position requires strong analytical and presentation skills, as well as the ability to collaborate with various stakeholders to improve fraud prevention efforts.

Responsibilities

• Analyze overall fraud metrics.
• Identify and report on emerging trends.
• Test, implement, and modify fraud strategies as appropriate.
• Analyze fraud databases and report on operational performance.
• Join fraud data with other data sources to derive end-to-end performance metrics for fraud.
• Work directly with clients, supporting fraud products and overall fraud needs.
• Design and implement new internal and external fraud reports, with a preference for report automation experience.
• Create and deliver presentations to clients with meaningful commentary on past performance and future opportunities.
• Collaborate with fraud management on special projects or requests.
• Take ownership of work and proactively engage in identifying opportunities for improvement.
• Respond to ad hoc requests for report building and data analysis.
• Work independently, as well as with team members.
• Complete other duties and responsibilities as needed.

Requirements

• Bachelor's degree in statistics, accounting, finance, economics, or business preferred.
• 5+ years of experience in data manipulation, script-building, Excel, and SQL.
• Strong understanding of internal business segments and presentation skills.
• Experience in relational database structures, research methods, sampling techniques, and system testing.
• Advanced data mining experience.
• Several years of experience with BI tools (Hyperion, SAS, Python, Tableau, etc.).
• Excellent verbal and written communication skills.
• Excellent organizational and time management skills.

Nice-to-haves

• Master's degree in a quantitative or business field is a plus.
• Bilingual in Spanish is a plus.
• Fraud background preferred in data-driven rule writing/rule design.

Benefits

• 401(k) matching
• Dental insurance
• Health insurance
• Paid sick time
• Stock options