Supporthighly specialized fraud analytics activities related to predictive analytics, forensic analysis, cybersecurity monitoring, fraud detection, incidentsupport, and continuous enhancement.

Coordinate analytical activities acrossassigned workstreams, review analytical products for quality and consistency, and provide guidance to junior team memberssupporting fraud analytics initiatives.

Assess difficult technical and operational problems across fraud analytics, data ingestion, application monitoring, stakeholder coordination, and incident response environments.

Develop practical alternatives, recommendations, and solution options that consider client requirements, operational priorities, data limitations, and cybersecurity fraud risks.

Contribute to strategic, tactical, and operational-level planning for analytics initiatives, application onboarding, data source integration, and fraud detection capability expansion.

Supportdevelopment, refinement, testing, documentation, and implementation of fraud indicators, analytical algorithms, detection logic, predictive models, and forensic analysis approaches.

Analyze structured and unstructured data, transaction logs, user behavior, system activity, and investigative informationtoidentifyanomalous, malicious, or fraudulent activity.

Supportroot-cause analysis, incident coordination, mitigation recommendations, andtimelyreporting for suspicious activity, fraud incidents, and emerging threat patterns.

Collaborate with application owners, identity management stakeholders, business representatives, and technical resources to understand user behavior, transaction data, data quality, and integration requirements.

Supportdata extraction, transformation, loading, schema alignment, data qualityassessment, data source onboarding, and analytics workflow improvements across large-scale environments.

Prepare and present technical reports, executive summaries, dashboards, briefings, recommendations, and documentation that communicate findings to technical and non-technical stakeholders.

Provide task-level coordination, analytical guidance, and knowledge sharing tosupportanalysts, engineers, data scientists, and operational staffassigned to fraud analytics activities.

Work independently on routine activities, receive general direction on newassignments, and ensure work products meet client requirements, quality expectations, and delivery timelines.

Work onsite at the client location in Lanham, Maryland five (5) days per week and collaborate closely with government personnel and contractor team members.

Experiencesupporting fraud analytics, cybersecurity analytics, data science, or incident response programs in a federal, financial services, intelligence community, or large enterprise environment.

Experiencesupporting digital identity, authentication services, online application monitoring, or large-scale transaction processing environments.

Experience developing, refining, testing, or validating machine learning models, predictive models, statistical models, analytical algorithms, fraud indicators, or detection logic.

Experiencesupporting incident response, open-source research, threat intelligence, root-cause analysis, mitigation planning, or stakeholder coordination.

Experiencesupporting data ingestion, schema alignment, data architecture, data quality improvement, platform advisory services, or analytics ecosystem modernization.

Experience developing dashboards or visualizations using Power BI, Tableau, Spotfire, Microsoft Excel, or similar tools.

Familiarity with cybersecurity programs, federal consulting environments, Agile delivery methodologies, or collaborative development environments.

Candidate currentlypossessesan active Internal Revenue Service (IRS) Moderate Background Investigation clearance or has held one within the last six (6) months.