Senior Fraud Detection Analyst

What you'll do

• Analyze complex datasets to identify risk signals related to fraudulent debit card transactions.
• Use Python and SQL to extract actionable insights from large, complex datasets.
• Implement fraud detection strategies within a real-time fraud decisioning engine.
• Support anomaly detection efforts to identify coordinated fraud attacks and organized fraud rings.
• Communicate data insights to stakeholders to influence product changes and business strategies.
• Refine fraud detection rules and models through continuous fraud hunting and data discovery.

What we're looking for

• Bachelor's degree with 5 plus years of experience in data analytics (preferred: fraud detection, cybersecurity, or risk domains).
• Master's degree with 3 plus years of experience in data analytics (preferred: fraud detection, cybersecurity, or risk domains).
• Strong proficiency in Python and SQL for data analysis and automation.
• Experience working with large-scale datasets and analytical platforms.
• Skill in using analytics tools like dashboards, statistical packages, and data visualization platforms.
• Familiarity with payment card fraud detection and risk management.
• Strong communication and collaboration skills to translate complex data into actionable insights.
• Experience in anomaly detection or fraud analytics (preferred).