Staff - Fraud Analytics Consultant (Senior Consultant)

Guidehouse; Arlington (VA); On-site; USD 95,000 - 135,000; Full time

Benefits offered by this job

Medical Insurance

401(k) Retirement Plan

Paid Holidays

Parental Leave

Transit Benefit

Tuition Reimbursement

Job summary

Guidehouse is seeking a Staff Fraud Analytics Consultant to perform fraud analytics, data analysis, reporting, and investigative support as part of a multidisciplinary team. The role requires applying standard analytical methods to structured problems and working independently on routine tasks with guidance for complex work.

The candidate will analyze transaction logs, user behavior, and fraud-related data; develop dashboards and reports to support operational decisions, and document

Qualifications

• Bachelor or higher in a STEM field or related discipline.
• 3+ years of professional experience in fraud analytics, cybersecurity analytics, data analysis, BI, investigations, or related field.
• Experience analyzing datasets to identify trends, anomalies, or correlations.
• Experience developing reports, dashboards, or analytical products for decision-making.
• Experience using SQL or data analysis tools to query, manipulate, and analyze data.
• Experience supporting data integration, ETL, data quality initiatives.
• Ability to communicate technical findings to technical and non-technical audiences.
• Ability to work independently on routine tasks while collaborating with teams.
• Willingness to work onsite at the client location in Lanham, MD five days/week.

Responsibilities

• Analyze logs, activity, user behavior, and fraud data to identify trends and anomalies.
• Support fraud prevention, detection, response, and continuous improvement efforts.
• Develop reports, dashboards, briefings, and technical documentation for stakeholders.
• Prepare data, quality reviews, and data integration to support analytics.
• Document methodologies and findings to support QA and knowledge sharing.
• Collaborate with government personnel and contractor teams onsite in Lanham, MD five days a week.

Skills

Fraud analytics

Data analysis

SQL

Independent worker

Communication

Education

Bachelor's degree in STEM field

Tools

SQL

Power BI

Tableau

Python

Splunk

Job description

What You Will Do

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.

Job Family

Data Science & Analysis

Travel Required

None

Clearance Required

Active Public Trust

What You Will Need

• 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.

What Would Be Nice To Have

• 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.

What We Offer

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits Include

• 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

About Guidehouse

Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at [e-mail]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or [e-mail]. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact [e-mail]. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.