Principal - Fraud Analytics Technical Lead (Consulting Manager)

Guidehouse Inc.; Arlington (VA); On-site; USD 180,000 - 240,000; Full time

Job summary

Guidehouse Inc. seeks a Principal Fraud Analytics Technical Lead to drive fraud analytics workstreams, deliver analytical products, and provide technical leadership for detection, reporting, and platform operations.

You will analyze complex data, guide teams, and ensure timely completion of investigations and analytics tasks. The role involves on-site collaboration at the Lanham client location and interaction with government personnel, with emphasis on scalable analytics, model validation, and

Qualifications

• 7+ years of professional experience in fraud analytics, cybersecurity analytics, or related technical delivery.

Responsibilities

• Lead day-to-day fraud analytics workstreams and coordinate delivery of analytical products.
• Provide technical guidance to improve fraud detection, analytics workflows, and operational outcomes.
• Lead execution of analytics projects, platform onboarding, and stakeholder coordination.
• Identify fraudulent activity and emerging risks using professional concepts and data.
• Develop and maintain fraud indicators, detection logic, and analytical models.
• Support data ingestion, ETL, data quality reviews, and analytics workflow improvements.
• Prepare and present technical briefings, dashboards, and executive summaries.

Skills

Fraud analytics

Technical leadership

Analytical thinking

Python

R

SQL/no-SQL

Spark

Splunk

Data visualization

Linux shell scripting

Education

Bachelor's degree in Data Science/CS/Engineering/Statistics/Math/OR Information Science

Tools

Python

R

Java

SQL/no-SQL

Spark

Elasticsearch

Parquet

Splunk

Microsoft Word

Microsoft Excel

Microsoft PowerPoint

HTML/Flask/JavaScript/React

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, investigat