Senior Fraud Detection Analyst

Fidelity Investments • Salt Lake City, UT

2d

About The Position

The Fraud Detection Analytics Team ensures fraudulent events on Fidelity’s platform—including account logins, account openings, and payment attempts—are detected and mitigated in a timely manner. The team uses vendor and internally developed tools and models for real-time detection and interdiction at different stages of the customer lifecycle.

In this role, you will work with data scientists, fraud strategists, and business stakeholders to support real-time fraud detection and prevention. You will identify fraud and scam schemes and implement detection solutions using advanced analytics and data analysis tools. The role focuses particularly on risk signals related to cryptocurrency and scams involving money movement, anomaly detection for coordinated attacks and fraud rings, and continuously improving detection rules, models, and fraud-hunting practices.

Requirements

• Bachelor's degree with 5 or more years of experience, or master's degree with 3 or more years of experience, in data analytics; experience in fraud detection, cybersecurity, or risk domains is preferred.
• Strong proficiency in Python and SQL for data analysis and automation.
• Experience working with large-scale datasets and analytical platforms.
• Skill using analytics tools, such as dashboards, statistical packages, and data visualization platforms, and predictive statistics to perform advanced analytics and uncover actionable insights.
• Ability to translate complex data into clear, actionable insights.
• Strong communication and collaboration skills to work across teams and influence decisions.

Nice To Haves

• Experience in anomaly detection, fraud or scam analytics, or cryptocurrency.

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 develop data-informed fraud detection strategies.
• Contribute to continuous improvement of the fraud detection program through rule and model refinement, fraud hunting, and data discovery.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior