Senior Manager, Fraud Detection and Analytics

Responsibilities

• Collaborate with data scientists, fraud strategists, and business stakeholders to support and enhance real-time fraud detection strategies.
• Analyze complex datasets to detect patterns and trends related to account takeover and scam-related fraud.
• Use Python, SQL, and other analytical tools to extract actionable insights from large volumes of data.
• Evaluate and optimize vendor and internal tools to improve detection of fraudulent behaviors across digital experiences.
• Support anomaly detection efforts to identify organized fraud rings and coordinated attacks.
• Communicate findings clearly to influence stakeholders and guide fraud prevention strategies.
• Partner with cross-functional teams to develop and refine fraud detection models, dashboards, and reporting tools.
• Contribute to the continuous improvement of fraud analytics capabilities and operational effectiveness.

• 7+ years of experience in data analytics, preferably within fraud detection, risk management, or cybersecurity.
• Strong proficiency in Python and SQL for data analysis and automation.
• Experience working with large-scale datasets and modern data platforms.
• Skilled in using analytics tools for statistical analysis, visualization, and reporting.
• Familiarity with fraud detection methodologies, especially related to account compromise and scams.
• Ability to translate complex data into clear, actionable insights for technical and non-technical audiences.
• Strong communication and collaboration skills to work effectively across teams.
• Experience in anomaly detection or behavioral analytics is a plus.