Analyst, Fraud Detection and Analytics
About The Position
You will work closely with data scientists, fraud strategists, and business stakeholders to support real-time fraud detection and prevention strategies. You will apply analytical techniques to large-scale datasets, utilize vendor tools to detect and mitigate scam events, where Fidelity customers are manipulated into sending money to legitimate payees. You will also work with the broader Detection and Analytics group to define processed and optimize overall detection strategy, including detection of Account Take Over events, Identify Theft and other types of fraud. 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.
Requirements
- Strong blend of advanced analytics expertise, fraud‑domain knowledge, and cross‑functional communication skills.
- Hands‑on experience using Python, SQL, and analytical platforms to work with large, complex datasets and uncover actionable insights.
- Adept at identifying scam‑related fraud patterns, supporting anomaly detection efforts, and contributing to the detection of coordinated fraud attacks and organized fraud rings.
- Leveraging both vendor products and internally built solutions to enhance customer authentication and identify risk indicators within authenticated sessions.
- Experienced in developing and refining fraud detection models and dashboards, and in applying identity proofing tools and fraud‑mitigation methodologies.
- Ability to translate complex analytical findings into clear, influential insights that drive product changes and data‑informed decision-making across business units.
- Strong collaboration and communication skills to effectively partner with stakeholders to advance strategies that reduce scam risk and enhance fraud‑detection capabilities.
Benefits
- comprehensive health care coverage and emotional well-being support
- market-leading retirement
- generous paid time off and parental leave
- charitable giving employee match program
- educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
