Fraud Analytics Manager — Real-Time Detection & Insights

Fidelity; United States; On-site; USD 90,000 - 130,000; Full time

Job summary

Fidelity is seeking a Data Analytics professional to join the Fraud Detection Analytics Team. You will work with data scientists and business stakeholders to detect and mitigate fraudulent events on Fidelity's platform, focusing on cryptocurrency and money movement risks.

You will analyze large datasets, implement real-time detection strategies, and communicate insights to influence product changes across teams. A strong background in fraud analytics and data visualization is essential.

Qualifications

• Bachelor's degree in data analytics or related field with 5+ years experience in fraud detection, cybersecurity, or risk domains.
• Strong proficiency in Python and SQL for data analysis and automation.
• Experience handling large-scale datasets and analytical platforms.
• Ability to translate complex data into clear, actionable insights.
• Strong communication and cross-team collaboration skills.
• 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 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 to influence stakeholders and drive product changes.
• Collaborate across business units to drive data-informed strategies for fraud detection.
• Contribute to continuous improvement of the fraud detection program through refinement, hunting, and data discovery.

Skills

Python

SQL

Data analytics

Fraud detection

Communication

Education

Bachelor's in data analytics or related field

Tools

Dashboards

Statistical packages

Job description

Fidelity is seeking a Data Analytics professional to join the Fraud Detection Analytics Team. You will work with data scientists and business stakeholders to detect and mitigate fraudulent events on Fidelity's platform, focusing on cryptocurrency and money movement risks.

You will analyze large datasets, implement real-time detection strategies, and communicate insights to influence product changes across teams. A strong background in fraud analytics and data visualization is essential.