Staff - Fraud Analytics Consultant (Senior Consultant)

Guidehouse•Arlington, VA

10d•Onsite

About The Position

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. The role involves analyzing transaction logs, application activity, user behavior, and fraud-related data to identify trends, anomalies, patterns, correlations, and potentially suspicious activity. It also includes supporting fraud prevention, detection, response, and continuous enhancement activities, as well as executing and documenting existing fraud indicators, detection logic, business rules, and analytical processes. The consultant will perform data mining, pattern recognition, behavioral analysis, and basic statistical analysis to support operational decision-making. Additionally, the role assists with data preparation, data quality review, data integration, and extract, transform, load activities supporting analytics and reporting. Investigative and forensic analysis of structured and unstructured data to identify trends, root causes, and potential indicators requiring further review is also a key responsibility. The consultant will support stakeholder meetings by gathering information, documenting requirements, and clarifying data quality, reporting, or analytical needs. Preparation of analytical reports, dashboards, briefings, presentations, executive summaries, and technical documentation for various stakeholders is required. Documenting methodologies, findings, procedures, assumptions, and work products is essential for quality control, knowledge sharing, and operational continuity. This position requires working onsite at the client site in Lanham, Maryland five (5) days per week and collaborating closely with government personnel and contractor team members.

Requirements

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 supporting data integration, data preparation, extract, transform, load activities, or data quality initiatives.
Experience communicating technical findings clearly to technical and non-technical audiences.
Experience working independently on routine assignments while contributing to cross-functional project teams.
Ability and willingness to work onsite at the client location in Lanham, Maryland five (5) days per week.

Nice To Haves

Experience supporting fraud analytics, cybersecurity, financial crime, digital identity, insider threat, or risk analytics programs.
Experience supporting development, testing, or validation of predictive models, fraud indicators, or analytical techniques.
Experience using Microsoft Office products, SQL, reporting tools, or analytics tools such as Python, Power BI, Tableau, or similar technologies.
Experience with SIEM platforms, including Splunk, cybersecurity monitoring technologies, or large-scale log analysis.
Experience supporting link analysis, behavioral analytics, graph analytics, network analytics, text mining, or data visualization.
Experience supporting incident response, investigations, open-source research, threat intelligence, or stakeholder coordination.
Experience developing dashboards or visualizations using Power BI, Tableau, Spotfire, Microsoft Excel, or similar tools.
Familiarity with Agile delivery methodologies, collaborative development environments, and federal consulting environments.
Candidate currently possesses an active Internal Revenue Service (IRS) Moderate Background Investigation clearance or has held one within the last six (6) months.

Responsibilities

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.

Benefits

Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Parental Leave
401(k) Retirement Plan
Group Term Life and Travel Assistance
Voluntary Life and AD&D Insurance
Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
Transit and Parking Commuter Benefits
Short-Term & Long-Term Disability
Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Care.com annual membership
Employee Assistance Program
Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)
Position may be eligible for a discretionary variable incentive bonus