Principal - Fraud Analytics Technical Lead (Consulting Manager)

US132 Guidehouse Digital, LLC

Arlington (VA)

On-site

USD 150,000 - 210,000

Full time

13 days ago
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Benefits offered by this job

Medical Insurance
401(k) Plan
Paid Holidays
Tuition Reimbursement
Employee Assistance Program

Job summary

Guidehouse is seeking a Principal Fraud Analytics Technical Lead to steer day-to-day fraud analytics workstreams, guide technical delivery, and support monitoring, investigations, and reporting. The role requires leadership across analytics, data engineering, and platform operations, with on-site work in Lanham, Maryland.

The candidate will develop fraud indicators, validation processes, and models while collaborating with cross-functional teams to deliver actionable insights and executive-ready

Qualifications

  • Bachelor's degree in a STEM field.
  • 7+ years of professional experience in fraud analytics, cybersecurity analytics, data science, data engineering, 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, broad judgment, and independent problem solving.
  • Experience preparing and presenting technical reports, dashboards, or executive-ready analytical products.
  • Experience providing technical direction, mentorship, or task-level leadership to teams completing analytics, data integration, or investigations.
  • Experience leading day-to-day technical execution of analytics projects, investigations, or delivery teams.

Responsibilities

  • Lead day-to-day fraud analytics workstreams and coordinate delivery of analytical products.
  • Provide technical guidance supporting fraud monitoring, investigations, reporting, and platform operations.
  • Develop, test, validate, and maintain fraud indicators, detection logic, and analytical models.
  • Support data ingestion, ETL, and analytics workflow improvements.
  • Collaborate with engineers, analysts, and stakeholders to clarify requirements and support delivery of analytics capabilities.
  • Prepare and present technical briefings, dashboards, and executive summaries based on findings.
  • Work onsite at the client location in Lanham, MD five days per week.

Skills

Fraud analytics
Cybersecurity analytics
Data engineering
Predictive analytics
Technical leadership
Mentorship
Executive briefing
Investigations

Education

Bachelor's degree in STEM field

Tools

Python
R
Java
Shell scripting
SQL/NoSQL
Spark
Elasticsearch
Parquet
Splunk
MS Word
MS Excel
MS PowerPoint

Job description

What You Will Do:

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.

What You Will Need:
  • 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.
What Would Be Nice To Have:
  • 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.
What We Offer:
  • 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 RecruitingAccommodation@guidehouse.com.

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 guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse.

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