Principal II - Fraud Analytics Lead (Consulting Manager)

Guidehouse Digital, LLC; Arlington (VA); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Medical, Rx, Dental & Vision Insurance

401(k) Retirement Plan

Parental Leave

Job summary

Guidehouse is seeking a Principal II Fraud Analytics Lead to direct fraud analytics initiatives, establish detection methodologies, and mentor analytics teams on complex challenges.

You will collaborate with stakeholders to integrate data mining results, present executive-ready analyses, and guide enhancements to analytics workflows and platforms at client sites.

Qualifications

• 8+ years of professional experience in fraud analytics, cybersecurity analytics, or related fields.
• Experience leading analytical workstreams and cross-team initiatives.
• Proven ability to translate complex data into actionable guidance for stakeholders.

Responsibilities

• Provide strategic technical leadership for fraud analytics operations and platforms.
• Develop analytical strategies, models, indicators, and detection methodologies.
• Mentor teams and review complex analytical deliverables for executives.
• Collaborate to integrate data mining results with existing systems and dashboards.
• Prepare technical briefings and executive summaries for priorities.
• Support data ingestion, ETL, and analytics workflows improvements.

Skills

Fraud analytics

Data science

Leadership

Python

SQL

Machine learning

Data visualization

Education

Bachelor's degree in a STEM field

Tools

Splunk

Elasticsearch

Spark

Parquet/Data formats

Job description

Job Family:Data Science & AnalysisTravel Required:NoneClearance Required:Ability to Obtain Public TrustWhat You Will Do:The Principal II Fraud Analytics Lead will provide strategic technical leadership for fraud analytics operations, analytical methodologies, platform integration activities, and investigative initiatives. This position establishes analytical approaches, guides technical direction across workstreams, and advises stakeholders on complex fraud detection and analytic challenges.Establish analytical strategies, methodologies, and priorities supporting fraud analytics, predictive analytics, forensic analysis, data mining, and cybersecurity monitoring initiatives.Develop and apply in-depth analyses of complex data to identify fraudulent activity, anomalous behavior, root causes, emerging risks, and potential attack vectors.Exercise independent judgment in selecting analytical methods, techniques, tools, and evaluation criteria to obtain results and inform decision-making.Provide technical leadership, mentorship, and strategic direction across analytical workstreams while reviewing and approving complex analytical products and recommendations.Define, refine, and oversee implementation of fraud indicators, detection methodologies, predictive models, analytical frameworks, and statistical analysis approaches.Collaborate with stakeholders to integrate data mining results with existing systems, improve analytics performance, and recommend process or technology enhancements.Prepare and present technical briefings, reports, executive summaries, dashboards, and recommendations based on analytical findings and operational priorities.Support data ingestion, schema alignment, data quality review, extract, transform, load activities, and analytics workflow improvements.Identify alternative applications for existing tools, techniques, and technologies to improve fraud analytics outcomes and operational effectiveness.Advise government and contractor leadership on fraud trends, emerging risks, analytical priorities, and opportunities to improve fraud detection effectiveness.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.EIGHT (8) or more years of professional experience supporting fraud analytics, cybersecurity analytics, data science, data engineering, predictive analytics, incident response, investigations, platform advisory, or related technical delivery.Experience leading analytical workstreams, technical tasks, or program segments in data analytics, fraud analytics, cybersecurity, systems integration, or platform advisory environments.Experience establishing analytical strategies, technical approaches, or fraud detection methodologies across multiple teams or workstreams.Experience developing and applying in-depth analysis of complex data using professional concepts, methodologies, and independent judgment.Experience with machine learning, statistical modeling, predictive analytics, data mining, link analysis, network analytics, text mining, data visualization, or related analytical techniques.Experience preparing and presenting technical reports, briefings, dashboards, recommendations, or executive-ready analytical products.Experience providing technical leadership, direction, or mentorship to team members completing analytics, data integration, documentation, or investigative tasks.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 with web development languages and frameworks such as HTML, Python/Flask, JavaScript, CSS, jQuery, or React in support of platform advisory, analytics ecosystem, data/application integration, dashboard, or application-facing analytics 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:Experience leading fraud analytics, cybersecurity analytics, data science, or incident response teams in a federal or large enterprise environment.Experience supporting online application monitoring, identity verification, digital identity, credential service provider integrations, or large-scale transaction monitoring environments.Experience developing or guiding machine learning models, predictive models, statistical models, analytical algorithms, fraud indicators, or detection logic.Experience with SIEM platforms, including Splunk, cybersecurity monitoring technologies, or large-scale log analysis.Experience supporting incident response, investigations, open-source research, threat intelligence, or stakeholder coordination.Experience supporting data ingestion, schema alignment, data source onboarding, data architecture, or analytics workflow integration.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 InsurancePersonal and Family Sick Time & Company Paid HolidaysParental Leave401(k) Retirement PlanGroup Term Life and Travel AssistanceVoluntary Life and AD&D InsuranceHealth Savings Account, Health Care & Dependent Care Flexible Spending AccountsTransit and Parking Commuter BenefitsShort-Term & Long-Term DisabilityTuition Reimbursement, Personal Development, Certifications & Learning OpportunitiesEmployee Referral ProgramCorporate Sponsored Events & Community OutreachCare.com annual membershipEmployee Assistance ProgramSupplemental 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 bonusAbout GuidehouseGuidehouse 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.