Principal - Fraud Analytics Technical Lead (Consulting Manager)

Posted Yesterday
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Arlington, VA, USA
In-Office
Senior level
Consulting
The Role
Lead fraud analytics workstreams: develop, test, and maintain detection logic, models, and indicators; coordinate data ingestion and ETL; support investigations and reporting; provide technical leadership, stakeholder briefings, and platform support while working onsite with government personnel.
Summary Generated by Built In

Job Family:

Data Science & Analysis


Travel Required:

None


Clearance Required:

Ability to Obtain Public Trust

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:

  • 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. 

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:

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 [email protected]. 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 [email protected].  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 [email protected]. 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.

Skills Required

  • 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 STEM related field
  • Seven or more years 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 methodologies and independent problem solving
  • Experience preparing and presenting technical reports, briefings, dashboards, and 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 Python, R, Java, Linux shell scripting, SQL/no-SQL databases, Spark, Elasticsearch, Parquet, SIEM platforms including Splunk, Microsoft Word, Excel, and PowerPoint
  • Experience with web development languages and frameworks such as HTML, Python/Flask, JavaScript, CSS, jQuery, or React for platform/advisory or analytics integration
  • Ability and willingness to work onsite in Lanham, Maryland five days per week
  • Experience supporting fraud analytics, cybersecurity analytics, data science, or incident response in a federal or large enterprise environment
  • Experience with online application monitoring, identity verification, digital identity, credential service provider integrations, or large-scale transaction monitoring
  • Experience developing or supporting machine learning, predictive, or statistical models, analytical algorithms, fraud indicators, or detection logic
  • Experience with SIEM platforms, cybersecurity monitoring technologies, or large-scale log analysis
  • Experience supporting incident response, investigations, open-source research, or threat intelligence
  • 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, Excel, or similar tools
  • Familiarity with Agile delivery methodologies, collaborative development environments, and federal consulting environments
  • Possession of an active IRS Moderate Background Investigation clearance, or held one within the last six months

Guidehouse Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Guidehouse and has not been reviewed or approved by Guidehouse.

  • Healthcare Strength Feedback suggests the benefits package includes broad medical, dental, vision, prescription, life, and disability coverage, which is often seen as a strong foundational offering. Access to HSA/FSA options further supports day-to-day healthcare and dependent-care needs.
  • Parental & Family Support Feedback suggests parental leave and adoption assistance are available, alongside an emergency back-up childcare program. These offerings indicate meaningful support for employees managing family responsibilities.
  • Wellbeing & Lifestyle Benefits Feedback suggests flexible work options and counseling/EAP-style support are part of the broader rewards mix. Additional lifestyle-oriented perks like community events and referral programs are also described as available in some contexts.

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The Company
HQ: McLean, VA
12,000 Employees
Year Founded: 2018

What We Do

Guidehouse is a leading global provider of consulting services to the public sector and commercial markets, with broad capabilities in management, technology, and risk consulting. By combining our public and private sector expertise, we help clients address their most complex challenges and navigate significant regulatory pressures focusing on transformational change, business resiliency, and technology-driven innovation. Across a range of advisory, consulting, outsourcing, and digital services, we create scalable, innovative solutions that help our clients outwit complexity and position them for future growth and success. The company has more than 12,000 professionals in over 50 locations globally. Guidehouse is a Veritas Capital portfolio company, led by seasoned professionals with proven and diverse expertise in traditional and emerging technologies, markets, and agenda-setting issues driving national and global economies.

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