The Manager of Fraud Detection and Analytics will lead a team focused on identifying and mitigating fraudulent activities on Fidelity's platform. This role involves collaborating with data scientists and business stakeholders to develop real-time fraud detection strategies. The primary focus is on analyzing complex datasets to uncover risk signals related to cryptocurrency and scams. The position requires strong analytical skills and the ability to communicate insights effectively to influence product changes.

• Bachelor's degree with 5+ years of experience or Master's degree with 3+ years of experience in data analytics, preferably in 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.
• Skilled in using analytics tools and predictive statistics to perform advanced analytics.
• Ability to translate complex data into clear, actionable insights.
• Strong communication and collaboration skills.

• Analyze complex datasets to identify risk signals related to cryptocurrency and scams involving money movement.
• Use Python, SQL, and analytical tools to analyze large, complex, and unstructured datasets.
• Implement fraud detection strategies in a real-time fraud decisioning engine.
• Support anomaly detection efforts to identify coordinated fraud attacks and organized fraud rings.
• Communicate insights clearly and effectively to influence stakeholders and drive product changes.
• Collaborate across business units to drive data-informed strategies for fraud detection.
• Contribute to the continuous improvement of the fraud detection program.

• Fidelity offers competitive compensation, annual bonuses, retirement contributions, comprehensive healthcare coverage, parental leave, tuition assistance, wellness programs, and extensive professional development opportunities.