Senior Manager, Fraud Detection and Analytics
The Purpose of this Role
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.
The Value you Deliver
You will work closely with data scientists, fraud strategists, and business stakeholders to support real-time fraud detection and prevention strategies.
The Skills that are Key to this Role
- Analyze complex datasets to identify risk signals related to fraudulent debit card transactions.
- Use Python, SQL, and analytical tools to analyze large, complex 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.
- Investigate emerging fraud trends and noteworthy loss events; implement solutions to mitigate risk.
- 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.
The Expertise we are Looking for
- Bachelor's degree with 10+ years experience in data analytics, preferably in fraud detection, cybersecurity, or risk domains.
- Strong proficiency in Python, SQL, and SPL/PPL 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) to perform advanced analytics and uncover actionable insights.
- Experience implementing real-time fraud detection and risk controls in customer transaction flows.
- Experience investigating large-loss events or novel fraud trends.
- Familiarity with payment card fraud detection and risk management.
- Ability to translate complex data into clear, actionable insights.
- Strong communication and collaboration skills to work across teams and influence decisions.
How your Work Impacts the Organization
Your work will focus on identifying payment card fraud schemes and implementing detection solutions to mitigate risk, using advanced analytics and data analysis tools.
Certifications:Category:Data Analytics and Insights
