Senior Manager, Fraud Detection and Analytics

The Fraud Risk and Control (FRC) Detection Team is responsible for identifying and mitigating fraudulent activity, focusing on unauthorized account access and suspicious behavior. The team uses a combination of vendor technologies and internally developed models to enable real-time detection and intervention across the customer lifecycle. As a Senior Manager, Fraud Detection and Analytics, you will collaborate with data scientists, fraud strategists, and business stakeholders to support and enhance real-time fraud detection strategies. Your work will focus on uncovering patterns related to account takeovers, and coordinated fraud attacks using advanced analytics and large-scale data.

Responsibilities

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

Requirements

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

Nice to have

Experience in anomaly detection or behavioral analytics is a plus