Manager, Fraud Detection and Analytics

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    "startDate": "2026-06-18",
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    "jobDescription": "<h2></h2><h2>Job Description:</h2><p style=\"text-align:inherit\"></p><p><span class=\"emphasis-2\"><b>Manager, Fraud Detection and Analytics</b></span></p><p></p><p><span class=\"emphasis-2\"><b>The Role </b></span></p><p>In this role, 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 payment card fraud schemes and implementing detection solutions to mitigate risk, using advanced analytics and data analysis tools.</p><p>Key Responsibilities:</p><ul><li>Analyze complex datasets to identify risk signals related to fraudulent debit card transactions.</li><li>Use Python, SQL, and analytical tools to analyze large, complex datasets and extract actionable insights.</li><li>Implement fraud detection strategies in a real-time fraud decisioning engine.</li><li>Support anomaly detection efforts to identify coordinated fraud attacks and organized fraud rings.</li><li>Communicate insights clearly and effectively to influence stakeholders and drive product changes.</li><li>Collaborate across business units to drive data-informed strategies for fraud detection.</li><li>Contribute to the continuous improvement of the fraud detection program, through rule and model refinement, fraud hunting, and data discovery.</li></ul><p></p><p><span class=\"emphasis-2\"><b>The Expertise and Skills You Bring</b></span></p><ul><li>Bachelor&#39;s with 5 plus years or Master&#39;s with 3 plus years of experience in data analytics, preferably in fraud detection, cybersecurity, or risk domains.</li><li>Strong proficiency in Python and SQL for data analysis and automation.</li><li>Experience working with large-scale datasets and analytical platforms.</li><li>Skilled in using analytics tools (e.g., dashboards, statistical packages, data visualization platforms) to perform advanced analytics and uncover actionable insights.</li><li>Familiarity with payment card fraud detection and risk management.</li><li>Ability to translate complex data into clear, actionable insights.</li><li>Strong communication and collaboration skills to work across teams and influence decisions.</li><li>Experience in anomaly detection or fraud analytics is a plus.</li></ul><p></p><p><b><span>Note: Fidelity is not providing immigration sponsorship for this position</span></b></p><p></p><p><span class=\"emphasis-2\"><b>The Team</b></span></p><p>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.</p><p></p><h2></h2><p style=\"text-align:inherit\"></p><h2>Certifications:</h2><h2></h2><p style=\"text-align:inherit\"></p><h2>Category:</h2><h2></h2>Data Analytics and Insights<p style=\"text-align:left\"><span>Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.</span></p>",
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