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As a Data Analyst, you will explore and manage large datasets, build visual dashboards, and communicate insights to stakeholders. Responsibilities include collaborating with teams, cleaning data, and applying analytical skills to address complex issues.

The Fraud Analytics SME analyzes fraud detection patterns, guides teams in detecting fraud schemes, validates analytical outputs, and supports operational reviews and discussions.

Drive advanced modeling and analytics for fraud detection and identity theft. Lead technical initiatives and manage full model lifecycle.

The Senior Data Engineer will design and maintain data pipelines and infrastructure for fraud detection analytics, ensuring data integrity and supporting testing across platforms.

The Principal Analytics Manager leads analytics initiatives focused on fraud detection, manages multidisciplinary teams, and coordinates with stakeholders to deliver actionable insights on time.

The Data Scientist will develop and maintain ML and NLP models, enhance data products, and support federal agency decisions using analytics.