Analyzing fraud-related data remotely, the full-time Fraud Analyst will focus on identifying emerging fraud trends, designing fraud-centric reporting, and enhancing overall program performance through data insights and collaboration with cross-functional teams.
Key responsibilities:
Analyze large datasets to generate insights on fraud trends and portfolio risk, emphasizing fraud detection effectiveness and loss drivers
Support the development and monitoring of fraud detection models and reporting aligned with regulatory standards
Translate complex data into actionable insights and partner with various teams to address control gaps and improve fraud program performance
Required qualifications:
Bachelor's degree or equivalent education and work experience; Master's degree preferred
Minimum of 8 years of related experience in fraud risk management or data analysis within financial services
Experience with fraud analytics, fraud reporting, and understanding of fraud typologies
Strong analytical skills and ability to derive actionable insights from large volumes of data
Familiarity with fraud detection systems and regulatory reporting environments is preferred