Senior Fraud Analytics & Detection Leader

Soteria Reinsurance Ltd.; Covington (KY); On-site; USD 125,000 - 160,000; Full time

Job summary

Fidelity Investments seeks a Senior Manager, Fraud Detection and Analytics to lead real-time fraud detection efforts. You will collaborate with data scientists, fraud strategists, and business stakeholders to uncover patterns related to account takeovers and organized fraud using Python, SQL, and large-scale data.

You will evaluate and optimize tools, develop dashboards and reporting, and drive continuous improvement of analytics capabilities across digital experiences.

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 analytics tools for statistical analysis, visualization, and reporting.
• Familiarity with fraud detection methodologies, especially related to account compromise and scams.
• Ability to translate complex data into clear, actionable insights for technical and non-technical audiences.
• Strong communication and collaboration skills to work effectively across teams.
• Experience in anomaly detection or behavioral analytics is a plus.

Responsibilities

• Collaborate with data scientists and business stakeholders to enhance real-time fraud detection.
• Develop and refine fraud detection models, dashboards, and reporting tools.
• Evaluate vendor and internal tools to improve detection of fraudulent behaviors.
• Communicate findings to influence stakeholders and guide prevention strategies.
• Support anomaly detection and detection of organized fraud rings.
• Use Python, SQL and analytics tools to extract actionable insights.

Skills

Python

SQL

Data analysis

Large-scale datasets

Analytics tools

Fraud detection methodologies

Communication

Collaboration

Anomaly detection

Job description

Fidelity Investments seeks a Senior Manager, Fraud Detection and Analytics to lead real-time fraud detection efforts. You will collaborate with data scientists, fraud strategists, and business stakeholders to uncover patterns related to account takeovers and organized fraud using Python, SQL, and large-scale data.

You will evaluate and optimize tools, develop dashboards and reporting, and drive continuous improvement of analytics capabilities across digital experiences.