Staff - Fraud Analytics Consultant (Senior Consultant)

The Staff Fraud Analytics Consultant will perform assigned fraud analytics, data analysis, reporting, and investigative support activities as part of a multidisciplinary team. This position will apply standard professional concepts and methodologies to solve structured analytical problems, work independently on routine assignments, and receive general instruction and review for new or more complex work. 

• Analyze transaction logs, application activity, user behavior, and fraud-related data to identify trends, anomalies, patterns, correlations, and potentially suspicious activity. 

• Apply established analytical concepts and methodologies to support fraud prevention, detection, response, and continuous enhancement activities. 

• Support execution and documentation of existing fraud indicators, detection logic, business rules, and analytical processes. 

• Perform data mining, pattern recognition, behavioral analysis, and basic statistical analysis to support operational decision-making. 

• Assist with data preparation, data quality review, data integration, and extract, transform, load activities supporting analytics and reporting. 

• Support investigative and forensic analysis of structured and unstructured data to identify trends, root causes, and potential indicators requiring further review. 

• Support stakeholder meetings by gathering information, documenting requirements, and clarifying data quality, reporting, or analytical needs. 

• Prepare analytical reports, dashboards, briefings, presentations, executive summaries, and technical documentation for technical and non-technical stakeholders. 

• Document methodologies, findings, procedures, assumptions, and work products to support quality control, knowledge sharing, and operational continuity. 

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

• Ability to obtain and maintain a Public Trust clearance. 

• Bachelor's degree in Data Science, Computer Science, Cybersecurity, Information Systems, Statistics, Mathematics, Engineering, Operations Research, Information Science, or a STEM related field. 

• THREE (3) or more years of professional experience supporting fraud analytics, cybersecurity analytics, data analysis, data science, business intelligence, investigations, incident response, or a related technical discipline. 

• Experience analyzing datasets and identifying trends, anomalies, patterns, or correlations using standard analytical techniques. 

• Experience developing reports, dashboards, visualizations, briefings, or analytical products that support operational or business decision-making. 

• Experience using SQL or data analysis tools to query, manipulate, and analyze data. 

• Experience