Fraud Analytics Manager – Real-Time Detection & Insights

Soteria Reinsurance Ltd.; Durham, Northern (NC, KY); Hybrid; USD 90,000 - 150,000; Full time

Job summary

Fidelity Investments in Durham, NC is seeking an experienced data analytics professional to identify risk signals in fraudulent debit card transactions. You will apply Python, SQL, and analytics platforms to scrutinize large datasets and extract actionable insights for fraud prevention.

The role involves implementing real-time fraud detection strategies, supporting anomaly detection, and communicating findings to stakeholders to influence product decisions.

Qualifications

• Bachelor's with 5+ years or Master's with 3+ years in data analytics, preferably in fraud detection, cybersecurity, or risk domains.
• Strong proficiency in Python and SQL for data analysis and automation.
• Experience with large-scale datasets and analytics platforms.
• Ability to translate complex data into clear, actionable insights.

Responsibilities

• 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.
• 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

Communication

Education

Bachelor's degree in a relevant field

Master's degree in a relevant field

Tools

Analytics platforms

Dashboards

Job description

Fidelity Investments in Durham, NC is seeking an experienced data analytics professional to identify risk signals in fraudulent debit card transactions. You will apply Python, SQL, and analytics platforms to scrutinize large datasets and extract actionable insights for fraud prevention.

The role involves implementing real-time fraud detection strategies, supporting anomaly detection, and communicating findings to stakeholders to influence product decisions.