Blend360 LLC

Lead Fraud Analyst

Jacksonville, FL, United States

Sponsorship not specifiedDetected 14 days ago

PythonSQLData AnalysisStatisticsSASCommunication

About the role

You will work in a highly collaborative, data-driven environment, partnering with fraud, risk, analytics, and technology teams to improve fraud detection, reduce losses, and strengthen controls against evolving fraud threats.

Develop and support fraud risk strategies across the full fraud lifecycle, including application fraud, synthetic identity fraud, and account takeover.
Translate complex data into actionable insights that drive fraud prevention strategies and business decisions.
Partner with Fraud Policy, Operations, Risk, and Technology teams to implement, optimize, and enhance fraud decision strategies.
Support the testing, implementation, monitoring, and continuous improvement of fraud decision systems.
Create reports, dashboards, and analytical insights to measure strategy performance and identify optimization opportunities.
Document analyses, findings, and recommendations, and present insights to business partners and senior leadership.
In this role, you will leverage data to identify fraud trends, uncover emerging risks, and develop strategies that help prevent fraud across the payments lifecycle.

Hands-on experience in fraud analytics within the payments industry, including credit cards, banking, fintech, or other financial services.
Proficiency with data analysis tools such as SQL, Python, SAS, Hive, or similar technologies.
Demonstrated ability to identify fraud patterns, trends, anomalies, and actionable insights from complex data.
Experience supporting business decisions through data analysis, reporting, and strategic recommendations.

Experience working with fraud models, including model monitoring, validation, or performance evaluation.
Familiarity with fraud decision engines, rules-based strategies, or fraud strategy implementation.
Exposure to risk management, regulatory, or financial services environments.
Excellent communication and presentation skills, with the ability to explain complex analytical findings to both technical and non-technical stakeholders.
Bachelor's degree in Mathematics, Statistics, Economics, Computer Science, Data Analytics, Finance, or another quantitative field.

Blend is seeking a Fraud Analytics Lead Analyst to support fraud strategy and analytics across our financial services clients.

This listing is sourced directly from Blend360 LLC's careers page and normalized into a canonical job model.