Job Family:
Data Science & Analysis
Travel Required:
Clearance Required:
What You Will Do:
The Fraud Analytics Senior Consultant Lead will support highly specialized fraud analytics activities across the Cybersecurity Fraud Analytics and Monitoring program. This position will independently assess difficult technical and analytical problems, develop practical alternatives and recommendations, support strategic, tactical, and operational planning, and coordinate task-level activities focused on predictive analytics, deep forensics, fraud detection, incident support, data integration, and continuous enhancement of analytics capabilities.
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.
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 related field; Master's degree preferred.
Five (5) or more years of professional experience supporting fraud analytics, cybersecurity analytics, data science, data engineering, predictive analytics, forensic analysis, investigations, fraud operations, platform advisory, or related technical delivery.
Experience independently solving difficult technical or analytical problems using professional concepts, procedures, and practical judgment.
Experience developing system requirements or supporting strategic, tactical, or operational-level planning for analytics, cybersecurity, fraud detection, or data-driven programs.
Experience analyzing large structured and unstructured datasets, transaction logs, application activity, user behavior, or system data to identify anomalies, patterns, correlations, risks, or potential fraudulent activity.
Experience supporting predictive analytics, machine learning, statistical analysis, data mining, link analysis, network analytics, text mining, data visualization, or related analytical techniques.
Experience supporting data extraction, transformation, loading, data integration, data quality review, schema alignment, or analytics workflow improvement activities.
Experience preparing and presenting technical reports, dashboards, briefings, executive summaries, documentation, or recommendations for technical and non-technical stakeholders.
Experience coordinating with multidisciplinary teams, client stakeholders, technical resources, and operational personnel to clarify requirements, support delivery, and communicate findings.
Experience using tools and technologies such as Python, R, Java, Linux shell scripting, SQL/no-SQL databases, Spark, Elasticsearch, Parquet, SIEM platforms including Splunk, Microsoft Word, Microsoft Excel, and Microsoft PowerPoint.
Experience supporting analytics platforms, data integration efforts, dashboard development, reporting environments, or analytical applications.
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 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.
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 [email protected]. 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 [email protected]. 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 [email protected]. 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.
Skills Required
- 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 related field
- Master's degree in related field
- Five or more years professional experience in fraud analytics, cybersecurity analytics, data science, data engineering, predictive analytics, forensic analysis, investigations, or related delivery
- Experience independently solving difficult technical or analytical problems using professional judgment
- Experience developing system requirements or supporting strategic, tactical, or operational planning for analytics or fraud detection programs
- Experience analyzing large structured and unstructured datasets, transaction logs, user behavior, or system data to identify anomalies or fraud
- Experience with predictive analytics, machine learning, statistical analysis, data mining, link/network analysis, text mining, or data visualization
- Experience with data extraction, transformation, loading, data integration, data quality review, or schema alignment
- Experience preparing and presenting technical reports, dashboards, briefings, executive summaries, or documentation for technical and non-technical stakeholders
- Experience using tools and technologies such as Python, R, Java, Linux shell scripting, SQL/NoSQL databases, Spark, Elasticsearch, Parquet, SIEM platforms (including Splunk), Microsoft Word, Excel, and PowerPoint
- Ability and willingness to work onsite at the client location in Lanham, Maryland five days per week
Guidehouse Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Guidehouse and has not been reviewed or approved by Guidehouse.
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Healthcare Strength — Feedback suggests the benefits package includes broad medical, dental, vision, prescription, life, and disability coverage, which is often seen as a strong foundational offering. Access to HSA/FSA options further supports day-to-day healthcare and dependent-care needs.
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Parental & Family Support — Feedback suggests parental leave and adoption assistance are available, alongside an emergency back-up childcare program. These offerings indicate meaningful support for employees managing family responsibilities.
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Wellbeing & Lifestyle Benefits — Feedback suggests flexible work options and counseling/EAP-style support are part of the broader rewards mix. Additional lifestyle-oriented perks like community events and referral programs are also described as available in some contexts.
Guidehouse Insights
What We Do
Guidehouse is a leading global provider of consulting services to the public sector and commercial markets, with broad capabilities in management, technology, and risk consulting. By combining our public and private sector expertise, we help clients address their most complex challenges and navigate significant regulatory pressures focusing on transformational change, business resiliency, and technology-driven innovation. Across a range of advisory, consulting, outsourcing, and digital services, we create scalable, innovative solutions that help our clients outwit complexity and position them for future growth and success. The company has more than 12,000 professionals in over 50 locations globally. Guidehouse is a Veritas Capital portfolio company, led by seasoned professionals with proven and diverse expertise in traditional and emerging technologies, markets, and agenda-setting issues driving national and global economies.
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