Guidehouse

Principal - Fraud Analytics Technical Lead (Consulting Manager)

Guidehouse$120K — $145K *
Business Services
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in a relevant STEM field
  • 7+ years of experience in fraud analytics or related technical fields
  • Experience leading data analytics and cybersecurity tasks
  • Ability to analyze complex data using professional methodologies
  • Proven track record of preparing and presenting technical reports
  • Experience mentoring team members in analytics and technical tasks
  • Familiarity with a variety of programming and analytics tools such as Python and SQL

Responsibilities

  • Lead execution of fraud analytics workstreams
  • Analyze data to identify fraud trends and improvement opportunities
  • Identify alternative applications for existing fraud detection tools
  • Provide technical leadership for analytics and reporting tasks
  • Implement and maintain fraud detection algorithms
  • Collaborate with technical teams to clarify requirements
  • Prepare and present technical briefings based on analytical findings

Benefits

  • Medical, Rx, Dental & Vision Insurance
  • Sick Pay & Paid Holidays
  • Parental Leave
  • 401(k) Retirement Plan
  • Life Insurance & Travel Assistance
  • Tuition Reimbursement & Learning Opportunities
  • Employee Referral Program
  • Corporate Sponsored Events & Outreach
  • Employee Assistance Program
Full Job Description
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 a management consulting firm headquartered in Washington, D.C. The firm provides consulting services to clients in the public and commercial sectors, with a focus on energy, financial services, healthcare, national security, and aerospace and defense. Guidehouse was founded in 2018 as a spin-off from PwC. The firm has over 7,000 employees and operates in more than 50 locations worldwide.
Learn more about Guidehouse
Size
8,000 employees
Industry
Founded
2018

Similar Jobs

More Jobs at Guidehouse

More Business Services Jobs

Find similar Principal - Fraud Analytics Technical Lead (Consulting Manager) jobs: