Senior Real-Time Fraud Analytics Lead

Fidelity; Salt Lake City (UT); On-site; USD 100,000 - 140,000; Full time

Job summary

Fidelity seeks a data analytics professional to support real-time fraud detection and prevention. You will work with data scientists, fraud strategists, and business stakeholders to identify risk signals and implement detection solutions targeting cryptocurrency-related scams and money movement fraud.

The role requires strong Python and SQL skills, experience with large datasets, and the ability to translate complex data into actionable insights.

Qualifications

• Bachelor's with 5+ years or Master's with 3+ years of experience in data analytics, preferably in fraud detection, cybersecurity, or risk domains.
• Strong proficiency in Python and SQL for data analysis and automation.
• Experience working with large-scale datasets and analytical platforms.

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, and unstructured 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 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.

Skills

Python

SQL

Data analytics

Fraud detection

Education

Bachelor's degree + 5 years

Master's degree + 3 years

Tools

Dashboards

Data visualization platforms

Statistical packages

Job description

Fidelity seeks a data analytics professional to support real-time fraud detection and prevention. You will work with data scientists, fraud strategists, and business stakeholders to identify risk signals and implement detection solutions targeting cryptocurrency-related scams and money movement fraud.

The role requires strong Python and SQL skills, experience with large datasets, and the ability to translate complex data into actionable insights.