Manager, Fraud Detection and Data Analytics

The Fraud Detection Analytics Team is responsible for ensuring that fraudulent events-such as account logins, account openings, and payment attempts-occurring on Fidelity’s platform are detected and mitigated in a timely manner. The team leverages a combination of vendor and internally developed tools and models to enable real-time detection and interdiction at various stages of the customer lifecycle. You will work closely with data scientists, fraud strategists, and business stakeholders to support real-time fraud detection and prevention strategies. Your work will focus on identifying fraud and scam schemes and implementing detection solutions to mitigate risk, using advanced analytics and data analysis tools. Key responsibilities include:

• 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 and extract actionable insights.
• 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, through rule and model refinement, fraud hunting, and data discovery.

• Bachelor’s with 5 plus years or Master’s with 3 plus 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 (e.g., dashboards, statistical packages, data visualization platforms) and predictive statistics to perform advanced analytics and uncover actionable insights.
• Ability to translate complex data into clear, actionable insights.
• Strong communication and collaboration skills to work across teams and influence decisions.
• Experience in anomaly detection, fraud/scams analytics, or crypto is a plus., Analysis Skills, Communication Skills, Continuous Improvement, Cryptocurrency, Cryptography, Data Analysis, Data Science, Data Sets, Data Visualization, ERISA (Employee Retirement Income Security Act of 1974), Hunting, Internet Security, Investment Services, Microsoft Exchange Server, Organizational Skills, Process Improvement, Python Programming/Scripting Language, Regulations, Reporting Dashboards, Risk, Risk Analysis, Risk Management, SQL (Structured Query Language), Securities, Securities Investments, State Laws and Regulations, Statistics, Team Player, Time Management

undefined: Fidelity We help over ~40 million people feel more confident in their most important financial goals, manage employee benefit programs for nearly 23,000 businesses, and support more than 3,600 advisory firms* with innovative investment and technology solutions to grow their businesses. Our diverse businesses and independence give us insight into the entire market and the stability needed to think and act for the long term as we deliver value to you.

Company Size: 10,000 employees or more

Industry: Banking