Staff II - Fraud Analytics Consultant (Senior Consultant)

Guidehouse; Arlington (VA); On-site; USD 110,000 - 180,000; Full time

Benefits offered by this job

Medical, Rx, Dental & Vision Insurance

Paid Holidays

Parental Leave

401(k) Retirement Plan

Employee Assistance Program

Job summary

Guidehouse is seeking a Staff II Fraud Analytics Consultant to contribute to advanced analytics, fraud detection, cybersecurity monitoring, and investigations. You will collaborate with data scientists, fraud analysts, engineers, and stakeholders to support prevention, detection, response, and continuous improvement initiatives.

Responsibilities include developing analytics products, dashboards, and executive summaries; performing complex data analysis; and supporting data extraction, loading,

Qualifications

• Requires ability to obtain and maintain a Public Trust clearance.
• Six (6) or more years of professional experience in data analytics, fraud analytics, or cybersecurity analytics.
• Experience analyzing large datasets to identify trends, anomalies, or correlations.
• Experience developing dashboards, visualizations, or analytical products.
• Strong communication skills for technical and non-technical audiences.
• Experience with data integration, ETL, and data quality initiatives.

Responsibilities

• Analyze structured and unstructured datasets to identify anomalous, malicious, or fraudulent patterns.
• Develop and refine predictive analytics models, detection logic, and analytical methodologies.
• Provide analytical guidance to project teams and collaborate with stakeholders.
• Present findings and recommendations to technical and non-technical audiences.
• Perform investigative and forensic analysis of data to identify trends and root causes.
• Support data extraction, transformation, loading, and data quality activities.
• Collaborate with stakeholders to gather requirements and support implementation of actions.
• Participate in incident response, threat analysis, and investigative activities.

Skills

Verbal communication

Written communication

Cross-functional collaboration

Education

Bachelor's degree in STEM fields

Tools

SQL

Power BI

Job description

What You Will Do

The Staff II Fraud Analytics Consultant will contribute complex and detailed analysis in support of advanced analytics, fraud detection, cybersecurity monitoring, and investigative activities as part of a multidisciplinary team. This position will work with data scientists, fraud analysts, cybersecurity professionals, engineers, and client stakeholders to support fraud prevention, detection, response, and continuous improvement initiatives while documenting work for use by the broader project team.

• Analyze structured and unstructured datasets to identify anomalous, malicious, or fraudulent patterns and activities.
• Perform complex analysis and support development, refinement, testing, and documentation of predictive analytics models, fraud indicators, detection logic, and analytical methodologies used to identify anomalous or potentially fraudulent activity.
• Provide analytical guidance to project teams and collaborate directly with stakeholders to evaluate findings, refine analytical approaches, and support operational decision-making.
• Experience independently performing complex analytical assignments and presenting findings and recommendations to technical and non-technical stakeholders.
• Perform investigative and forensic analysis of transactional, behavioral, and system activity data to identify trends, root causes, and potential attack vectors.
• Support data extraction, transformation, loading, and data quality activities that enable analytics and reporting.
• Assist with collection, integration, validation, and quality assessment of large and diverse data sources.
• Support development of fraud indicators, detection logic, business rules, and analytical algorithms to improve monitoring and investigation capabilities.
• Conduct data mining, link analysis, behavioral analysis, and pattern recognition activities to support operational decision-making.
• Develop recurring and ad hoc analytical products, technical reports, dashboards, briefings, presentations, and executive summaries.
• Collaborate with stakeholders, technical teams, and business representatives to gather requirements, interpret findings, and support implementation of recommended actions.
• Participate in incident response, threat analysis, and investigative activities related to identified cyber and fraud events.
• Support continuous enhancement of analytics capabilities through research, testing, and application of emerging analytical techniques, technologies, and best practices.
• Document analytical methodologies, findings, procedures, and work products to support knowledge sharing and operational continuity.
• Work onsite at the client location 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

Ability to Obtain Public Trust

What You Will Do

The Staff II Fraud Analytics Consultant will contribute complex and detailed analysis in support of advanced analytics, fraud detection, cybersecurity monitoring, and investigative activities as part of a multidisciplinary team. This position will work with data scientists, fraud analysts, cybersecurity professionals, engineers, and client stakeholders to support fraud prevention, detection, response, and continuous improvement initiatives while documenting work for use by the broader project team.

• Analyze structured and unstructured datasets to identify anomalous, malicious, or fraudulent patterns and activities.
• Perform complex analysis and support development, refinement, testing, and documentation of predictive analytics models, fraud indicators, detection logic, and analytical methodologies used to identify anomalous or potentially fraudulent activity.
• Provide analytical guidance to project teams and collaborate directly with stakeholders to evaluate findings, refine analytical approaches, and support operational decision-making.
• Experience independently performing complex analytical assignments and presenting findings and recommendations to technical and non-technical stakeholders.
• Perform investigative and forensic analysis of transactional, behavioral, and system activity data to identify trends, root causes, and potential attack vectors.
• Support data extraction, transformation, loading, and data quality activities that enable analytics and reporting.
• Assist with collection, integration, validation, and quality assessment of large and diverse data sources.
• Support development of fraud indicators, detection logic, business rules, and analytical algorithms to improve monitoring and investigation capabilities.
• Conduct data mining, link analysis, behavioral analysis, and pattern recognition activities to support operational decision-making.
• Develop recurring and ad hoc analytical products, technical reports, dashboards, briefings, presentations, and executive summaries.
• Collaborate with stakeholders, technical teams, and business representatives to gather requirements, interpret findings, and support implementation of recommended actions.
• Participate in incident response, threat analysis, and investigative activities related to identified cyber and fraud events.
• Support continuous enhancement of analytics capabilities through research, testing, and application of emerging analytical techniques, technologies, and best practices.
• Document analytical methodologies, findings, procedures, and work products to support knowledge sharing and operational continuity.
• 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 STEM related field.
• SIX (6) or more years of professional experience supporting data analytics, fraud analytics, cybersecurity analytics, data science, business intelligence, investigations, or a related technical discipline.
• Experience analyzing large datasets and identifying trends, anomalies, patterns, or correlations using analytical and statistical techniques.
• Experience developing reports, dashboards, visualizations, or analytical products that support operational or business decision-making.
• Experience working with SQL and data analysis tools to query, manipulate, and analyze data.
• Experience supporting data integration, data preparation ETL activities, or data quality initiatives.
• Experience effectively communicating technical findings to both technical and non-technical audiences.
• Experience working independently while contributing to cross-functional project teams.
• Ability and willingness to work onsite at the client location in Verbal and Written Communication Skills
• 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 developing, refining, or validating predictive models, statistical models, fraud indicators, or analytical methodologies.
• Experience with Python, R, Java, SQL, or similar analytics and programming languages.
• Experience with big data platforms and technologies such as Spark, Elasticsearch, Hadoop, or cloud-based analytics environments.
• Experience with SIEM platforms, including Splunk, or related cybersecurity monitoring technologies.
• Experience performing link analysis, behavioral analytics, graph analytics, or network analytics.
• Experience supporting incident response, investigations, or threat intelligence activities.
• Experience developing dashboards and visualizations using Power BI, Tableau, Spotfire, or similar tools.
• Familiarity with Agile delivery methodologies and collaborative development environments.
• Candidate currently possesses an active Internal Revenue Service (IRS) Moderate Background Investigation (MBI) 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. 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 does not accept unsolicited resumes through or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.