Fraud Analytics Senior Consultant Lead (Senior Consultant II)

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.