Fraud Analytics Senior Consultant Lead (Senior Consultant II)

Guidehouse Inc.; Arlington (VA); On-site; USD 130,000 - 170,000; Full time

Job summary

Guidehouse Inc. seeks a Fraud Analytics Senior Consultant Lead to drive advanced analytics across the Cybersecurity Fraud Analytics and Monitoring program.

You will independently tackle difficult technical problems, develop practical recommendations, and guide junior team members. You will analyze structured and unstructured data, build predictive indicators and forensic analytics, and present findings to technical and non-technical stakeholders while coordinating across workstreams at a client

Qualifications

• Bachelor’s degree in Data Science, Computer Science, Cybersecurity, Information Systems, Statistics, Mathematics, Engineering, Operations Research, Information Science, or a related field.
• Five+ years of professional experience supporting fraud analytics, cybersecurity analytics, data science, data engineering, predictive analytics, forensic analysis, investigations, fraud operations, platform advisory, or related technical delivery.
• Experience independently solving difficult technical or analytical problems using professional concepts, procedures, and practical judgment.
• Experience developing system requirements or supporting strategic, tactical, or operational-level planning for analytics, cybersecurity, fraud detection, or data-driven programs.
• Experience analyzing large structured and unstructured datasets, transaction logs, application activity, user behavior, or system data to identify anomalies, patterns, correlations, risks, or potential fraudulent activity.
• Experience supporting predictive analytics, machine learning, statistical analysis, data mining, link analysis, network analytics, text mining, data visualization, or related analytical techniques.
• Experience supporting data extraction, transformation, loading, data integration, data quality review, schema alignment, or analytics workflow improvement activities.
• Experience preparing and presenting technical reports, dashboards, briefings, executive summaries, documentation, or recommendations for technical and non-technical stakeholders.

Responsibilities

• Support highly specialized fraud analytics activities across the Cybersecurity Fraud Analytics and Monitoring program.
• Coordinate analytical activities across assigned workstreams, review analytical products for quality and consistency, and provide guidance to junior team members supporting fraud analytics initiatives.
• Assess difficult technical and operational problems across fraud analytics, data ingestion, application monitoring, stakeholder coordination, and incident response environments.
• Develop practical alternatives, recommendations, and solution options considering client requirements, priorities, data limitations, and cybersecurity fraud risks.
• Contribute to strategic, tactical, and operational planning for analytics initiatives, onboarding, data source integration, and fraud detection capability expansion.
• Support development, refinement, testing, documentation, and implementation of fraud indicators, analytical algorithms, detection logic, predictive models, and forensic analysis approaches.
• Analyze structured and unstructured data, transaction logs, user behavior, system activity, and investigative information to identify anomalous or fraudulent activity.
• Support root-cause analysis, incident coordination, mitigation recommendations, and timely reporting for suspicious activity and emerging threat patterns.
• Collaborate with stakeholders to understand user behavior, data quality, and integration requirements.
• Support data extraction, transformation, loading, schema alignment, data quality assessment, data source onboarding, and analytics workflow improvements.

Skills

Fraud analytics

Data science

Cybersecurity analytics

Data engineering

Predictive analytics

Machine learning

Data visualization

Education

Bachelor's degree in Data Science

Bachelor's degree in Computer Science

Bachelor's degree in Cybersecurity

Master's degree preferred

Job description

Job Family : Data Science & Analysis

Travel Required : None

Clearance Required : Ability to Obtain Public Trust

What You Will Do :

The Fraud Analytics Sen i o r Consultant Lead will suppo rt highly specialized fraud analytics activities across the Cybersecurity Fraud Analytics and Monitoring program. This position will independently ass ess difficult technical and analytical problems, develop practical alternatives and recommendations , suppo rt s trategic, tactical, and operational planning, and coordinate task-level activities focused on predictive analytics, deep forensics, fraud detection, incident suppo rt , data integration, and continuous enhancement of analytics capabilities.

Suppo rt highly specialized fraud analytics activities related to predictive analytics, forensic analysis, cybersecurity monitoring, fraud detection, incident suppo rt , and continuous enhancement.

Coordinate analytical activities across ass igned workstreams, review analytical products for quality and consistency, and provide guidance to junior team members suppo rt ing fraud analytics initiatives .

Ass ess difficult technical and operational problems across fraud analytics, data ingestion, application monitoring, stakeholder coordination, and incident response environments.

Develop practical alternatives, recommendations, and solution options that consider client requirements, operational priorities, data limitations, and cybersecurity fraud risks.

Contribute to strategic, tactical, and operational-level planning for analytics initiatives, application onboarding, data source integration, and fraud detection capability expansion.

Suppo rt development, refinement, testing, documentation, and implementation of fraud indicators, analytical algorithms, detection logic, predictive models, and forensic analysis approaches.

Analyze structured and unstructured data, transaction logs, user behavior, system activity, and investigative information to identify anomalous, malicious, or fraudulent activity.

Suppo rt root-cause analysis, incident coordination, mitigation recommendations, and timely reporting for suspicious activity, fraud incidents, and emerging threat patterns.

Collaborate with application owners, identity management stakeholders, business repre sen tatives, and technical resources to understand user behavior, transaction data, data quality, and integration requirements .

Suppo rt data extraction, transformation, loading, schema alignment, data quality ass essment, data source onboarding, and analytics workflow improvements across large-scale environments.

Prepare and pre sen t technical reports, executive summaries, dashboards, briefings, recommendations, and documentation that communicate findings to technical and non-technical stakeholders.

Provide task-level coordination, analytical guidance, and knowledge sharing to suppo rt analysts, engineers, data scientists, and operational staff ass igned to fraud analytics activities.

Work independently on routine activities, receive general direction on new ass ignments, and ensure work products meet client requirements, quality expectations, and delivery timelines.

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 related field; Master's degree preferred.

Five (5) or more years of professional experience suppo rt ing fraud analytics, cybersecurity analytics, data science, data engineering, predictive analytics, forensic analysis, investigations, fraud operations, platform advisory, or related technical delivery.

Experience independently solving difficult technical or analytical problems using professional concepts, procedures, and practical judgment.

Experience developing system requirements or suppo rt ing strategic, tactical, or operational-level planning for analytics, cybersecurity, fraud detection, or data-driven programs.

Experience analyzing large structured and unstructured datasets, transaction logs, application activity, user behavior, or system data to identify anomalies, patterns, correlations, risks, or potential fraudulent activity.

Experience suppo rt ing predictive analytics, machine learning, statistical analysis, data mining, link analysis, network analytics, text mining, data visualization, or related analytical techniques.

Experience suppo rt ing data extraction, transformation, loading, data integration, data quality review, schema alignment, or analytics workflow improvement activities.

Experience preparing and pre sen ting technical reports, dashboards, briefings, executive summaries, documentation, or recommendations for technical and non-technical stakeholders.

Experience coor