Manager, Fraud Detection and Analytics
About The Position
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.
Requirements
- 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.
Nice To Haves
- Experience in anomaly detection, fraud/scams analytics, or crypto is a plus.
Responsibilities
- 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.
Benefits
- Comprehensive health care coverage
- Emotional well-being support
- Market-leading retirement
- Generous paid time off
- Parental leave
- Charitable giving employee match program
- Educational assistance including student loan repayment
- Tuition reimbursement
- Learning resources to develop your career
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What This Job Offers
Job Type
Full-time
Career Level
Manager
