Principal - Fraud Analytics Technical Lead (Consulting Manager)

Guidehouse•Arlington, VA

3d•Onsite

About The Position

The Principal Fraud Analytics Technical Lead will lead day-to-day execution of fraud analytics workstreams, coordinate delivery of analytical products, and provide technical guidance supporting fraud monitoring, investigations, reporting, and platform operations. This position will use broad judgment to select methods and techniques, analyze complex situations and data, prepare briefings and recommendations, and provide task-level technical guidance to improve fraud detection, analytics workflows, and operational outcomes. Lead execution of assigned fraud analytics workstreams, continuous enhancements, application onboarding activities, platform support efforts, and stakeholder coordination activities. Analyze complex situations and data using professional concepts, methodologies, and broad judgment to identify fraudulent activity, anomalous behavior, emerging risks, and improvement opportunities. Identify alternative applications for existing tools, techniques, technologies, data models, and analytics workflows to improve results and influence operational outcomes. Provide day-to-day technical leadership and work coordination to support timely completion of analytics, reporting, data integration, and investigative activities. Implement, test, validate , and maintain fraud indicators, detection logic, analytical algorithms, predictive models, and statistical analysis approaches. Support data ingestion, schema alignment, data quality review, extract, transform, load activities, and analytics workflow improvements. Collaborate with technical teams, analysts, engineers, and stakeholders to clarify requirements, evaluate options, and support delivery of fraud analytics capabilities. Prepare and present technical briefings, reports, executive summaries, dashboards, and recommendations based on analytical findings and operational needs. Support investigative and forensic analysis of transactional, behavioral, and system activity data to identify trends, root causes, and potential attack vectors. Track workstream progress, coordinate task assignments, and support delivery of recurring reports, analytical findings, and stakeholder briefings. Work onsite at the client location in Lanham, Maryland five (5) days per week and collaborate closely with government personnel and contractor team members.

Requirements

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.
SEVEN (7) 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 tasks or program segments in data analytics, cybersecurity, fraud analytics, systems integration, or platform advisory environments.
Experience analyzing complex situations and data using professional concepts, methodologies, broad judgment, and independent problem solving.
Experience preparing and presenting technical reports, briefings, dashboards, recommendations, or executive-ready analytical products.
Experience providing technical direction, mentorship, or task-level leadership to team members completing analytics, data integration, documentation, or investigative tasks.
Experience leading day-to-day technical execution of analytical projects, investigations, or delivery teams.
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.

Nice To Haves

Experience supporting fraud analytics, cybersecurity analytics, data science, or incident response 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 supporting 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.

Responsibilities

Lead execution of assigned fraud analytics workstreams, continuous enhancements, application onboarding activities, platform support efforts, and stakeholder coordination activities.
Analyze complex situations and data using professional concepts, methodologies, and broad judgment to identify fraudulent activity, anomalous behavior, emerging risks, and improvement opportunities.
Identify alternative applications for existing tools, techniques, technologies, data models, and analytics workflows to improve results and influence operational outcomes.
Provide day-to-day technical leadership and work coordination to support timely completion of analytics, reporting, data integration, and investigative activities.
Implement, test, validate , and maintain fraud indicators, detection logic, analytical algorithms, predictive models, and statistical analysis approaches.
Support data ingestion, schema alignment, data quality review, extract, transform, load activities, and analytics workflow improvements.
Collaborate with technical teams, analysts, engineers, and stakeholders to clarify requirements, evaluate options, and support delivery of fraud analytics capabilities.
Prepare and present technical briefings, reports, executive summaries, dashboards, and recommendations based on analytical findings and operational needs.
Support investigative and forensic analysis of transactional, behavioral, and system activity data to identify trends, root causes, and potential attack vectors.
Track workstream progress, coordinate task assignments, and support delivery of recurring reports, analytical findings, and stakeholder briefings.
Work onsite at the client location in Lanham, Maryland five (5) days per week and collaborate closely with government personnel and contractor team members.

Benefits

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