Fraud Analytics & Detection Lead (Real-Time Risk)

Fidelity; United States; On-site; USD 140,000 - 170,000; Full time

Job summary

Fidelity is seeking a Senior Manager of Fraud Detection and Analytics to lead real-time detection strategies and collaborate with data scientists, fraud strategists, and business stakeholders across the customer lifecycle.

You will analyze patterns related to account takeovers and coordinated attacks, using Python, SQL, and large-scale data platforms to produce actionable insights for technical and non-technical audiences.

Qualifications

• 7+ years of experience in data analytics, preferably within fraud detection, risk management, or cybersecurity.
• Strong proficiency in Python and SQL for data analysis and automation.
• Experience with large-scale datasets and modern data platforms.
• Skilled in using analytics tools for statistical analysis, visualization, and reporting.

Responsibilities

• Analyze complex datasets to detect patterns and trends related to account takeover and scam-related fraud.
• Use Python, SQL, and other analytical tools to extract actionable insights from large volumes of data.
• Evaluate and optimize vendor and internal tools to improve detection of fraudulent behaviors across digital experiences.
• Support anomaly detection efforts to identify organized fraud rings and coordinated attacks.
• Communicate findings clearly to influence stakeholders and guide fraud prevention strategies.
• Partner with cross-functional teams to develop and refine fraud detection models, dashboards, and reporting tools.
• Contribute to the continuous improvement of fraud analytics capabilities and operational effectiveness.

Skills

Python

SQL

Data analytics

Analytics tools

Fraud detection

Cross-functional collaboration

Communication

Job description

Fidelity is seeking a Senior Manager of Fraud Detection and Analytics to lead real-time detection strategies and collaborate with data scientists, fraud strategists, and business stakeholders across the customer lifecycle.

You will analyze patterns related to account takeovers and coordinated attacks, using Python, SQL, and large-scale data platforms to produce actionable insights for technical and non-technical audiences.