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Fraud Analytics Senior Consultant Lead (Senior Consultant II)

Guidehouse

US - VA, Arlington, USonsite

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About this role

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 coordinating with multidisciplinary teams, client stakeholders, technical resources, and operational personnel to clarify requirements,   suppo rt   delivery, and communicate findings.  

• 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   suppo rt ing analytics platforms, data integration efforts, dashboard development, reporting environments, or analytical applications .  

• 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   suppo rt ing fraud analytics, cybersecurity analytics, data science

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