Ascension LLC is seeking a Fraud Analytics Subject Matter Expert (SME) to support government-led fraud analytics initiatives focused on identifying, analyzing, and mitigating fraud risks across large-scale federal programs. This role serves as a trusted advisor providing analytical insight, model validation support, and subject matter expertise to enhance fraud detection capabilities while ensuring alignment with evolving threats and operational priorities.

The ideal candidate is a highly analytical and detail-oriented professional with deep experience in fraud schemes, predictive modeling support, and analytical evaluation. This individual thrives in a fast-paced, mission-driven environment and demonstrates the ability to interpret complex data, anticipate emerging fraud patterns, and provide actionable recommendations. The SME will not serve as a policy decision-maker but will play a critical role in advising government stakeholders and strengthening analytical approaches.

This role requires a self-driven professional who can operate with minimal oversight, manage multiple priorities, and translate complex fraud trends into meaningful insights. The candidate should be comfortable working with structured and unstructured data, collaborating across teams, and supporting rapid-response analytics in dynamic operational environments.

Key Responsibilities / Day-to-Day Activities

• Analyze fraud schemes, patterns, and anomalies across filing and non-filing periods
• Evaluate existing fraud detection models, filters, and business rules for effectiveness and accuracy
• Support validation and tuning of predictive models in coordination with technical and analytics teams
• Advise on fraud detection strategies and analytical approaches to improve program outcomes
• Monitor fraud trends, model performance, and operational metrics to identify gaps or emerging risks
• Conduct deep-dive analyses to support rapid response to newly identified fraud schemes or vulnerabilities
• Collaborate with data scientists, engineers, and program stakeholders to enhance analytical capabilities
• Review internal and external data sources to inform fraud detection and taxpayer protection strategies
• Develop analytical summaries, reports, and visualizations to communicate findings to stakeholders
• Support treatment optimization efforts, including differentiation between fraud types
• Contribute to cross-program coordination and knowledge sharing efforts