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Guidehouse is seeking an Associate II Fraud Analytics Consultant to join a multidisciplinary team in Lanham, MD. You will support fraud analytics, data review, reporting, and investigative analysis, contributing to data preparation, quality reviews, and analytical products.
The role involves analyzing data to identify trends, anomalies, and indicators of fraud, refining indicators, and delivering dashboards and documentation for diverse audiences.
Job Family:
Data Science & Analysis
Travel Required:
None
Clearance Required:
Ability to Obtain Public Trust
What You Will Do:
TheAssociateII Fraud Analytics Consultant willsupportfraud analytics,datareview, reporting, and investigative analysis activities as part of a multidisciplinary team. This position will use developed analytical skills to evaluate data,supportassigneddatapreparation and quality reviewactivities,assistwith analyticalwork products, and contribute to recurring and ad hoc fraud analyticstasks under regular review.
Supportdata preparation, transformation, and quality review activities used in analytics and reporting processes.
Assistwith testing and validation of data ingestion outputs, analytical datasets, and data source updates under guidance fromseniorteam members.
Use independent judgment to evaluate options, apply developed analytical skills, and recommend solutions for analytical challenges of limited scope.
Analyze structured and unstructured data to identifytrends, anomalies, patterns, correlations, and potential indicators of suspicious or fraudulent activity.
Supportrefinement and documentation of fraud indicators, analytical datasets, detection logic, and recurring fraud analytics findings.
Contribute to data mining, pattern recognition, link analysis, behavioral analysis, and basic statistical analysis activities thatsupportoperational decision-making.
Supportanalysis of transactional, behavioral, and system activity data to identifytrends and indicators requiring further review.
Document technical processes, analytical methods, dataassumptions, findings, and work products to supportknowledge sharing and operational continuity.
Coordinate with technical teams, analysts, engineers, and client stakeholders to clarify requirements, exchange information, and supportdelivery ofassigned tasks.
Prepare reports, dashboards, briefings, presentations, and technical documentation that communicate analytical findings to technical and non-technical audiences.
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 andmaintaina Public Trust clearance.
Bachelor’s degree in Data Science, Computer Science, Cybersecurity, Information Systems, Statistics, Mathematics, Engineering, Operations Research, Information Science, ora relatedfield.
Four (4) or more years of professional experiencesupporting data analytics, fraud analytics, business intelligence, data science, investigations, reporting, ora relatedanalytical discipline.
Experiencesupporting data integration, data preparation, extract, transform, load activities, data quality initiatives, or analytical dataset development.
Experience analyzing datasets andidentifyingtrends, anomalies, patterns, or correlations using analytical and statistical techniques.
Experience working with SQL and data analysis tools to query, manipulate, and analyze data.
Experience developing reports, dashboards, visualizations, or analytical products thatsupportoperational or business decision-making.
Experience communicating technical findings to technical and non-technical audiences.
Experience applying independent judgment to evaluate options, follow standard principles and techniques, and recommendappropriate solutionsforassigned work.
Ability and willingness to work onsite at the client location in Lanham, Maryland five (5) days per week.
What Would Be Nice To Have:
Experiencesupporting fraud analytics, financial crime, digital identity, risk analytics, investigations, or business intelligence programs.
Experience using Microsoft Office products, SQL, reporting tools, or analytics tools such as Python, Power BI, Tableau, or similar technologies.
Experience with enterprise reporting platforms, log analysis tools, analytical environments, or large-scale data review activities.
Experiencesupporting data preparation, data quality review, reporting, dashboarding, or analytical work products.
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 currentlypossessesan 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.