Manager, Fraud Detection and Analytics
About The Position
The Role: 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 for identity proofing, and contribute to the development of solutions that combat identity-related fraud. The Team: 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
- 5+ years of experience in data analytics (or 3+ years with a Master’s), preferably in fraud detection or risk domains.
- Advanced analytics expertise to uncover identity abuse and fraud patterns.
- Strong proficiency in Python and SQL for data analysis, automation, and working with large-scale datasets.
- Skilled in leveraging analytical tools and platforms for dashboards, statistical analysis, and data visualization.
- Experience with identity proofing tools and fraud detection methodologies, including anomaly detection.
- Ability to extract actionable insights from complex datasets and communicate them clearly to influence stakeholders.
- Collaborative mindset to work across business units and drive data-informed strategies.
- Proven ability to support development and refinement of fraud detection models and dashboards.
- Strong communication skills to translate complex data into clear, actionable recommendations.
Responsibilities
- Support real-time fraud detection and prevention strategies.
- Apply analytical techniques to large-scale datasets.
- Utilize vendor tools for identity proofing.
- Contribute to the development of solutions that combat identity-related fraud.
- Enable real-time detection and interdiction at various stages of the customer lifecycle.
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
Manager
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
