Fraud Analytics Senior Consultant Lead (Senior Consultant II)

Support highly specialized fraud analytics activities related to predictive analytics, forensic analysis, cybersecurity monitoring, fraud detection, incident support, and continuous enhancement. 

Coordinate analytical activities across assigned workstreams, review analytical products for quality and consistency, and provide guidance to junior team members supporting 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. 

Support development, 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 information to identify anomalous, malicious, or fraudulent activity. 

Support root-cause analysis, incident coordination, mitigation recommendations, and timely reporting 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. 

Support data extraction, transformation, loading, schema alignment, data quality assessment, 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 to support analysts, engineers, data scientists, and operational staff assigned to fraud analytics activities. 

Work independently on routine activities, receive general direction on new assignments, 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. 

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

Experience supporting 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. 

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

Experience supporting 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 currently possesses an active Internal Revenue Service (IRS) Moderate Background Investigation clearance or has held one within the last six (6) months.