Associate II - Fraud Analytics Consultant (Senior Consultant)
GuidehouseAbout the role
Job Family:
Data Science & Analysis
Travel Required:
Clearance Required:
What You Will Do:
The Associate II Fraud Analytics Consultant will support fraud analytics, data review, reporting, and investigative analysis activities as part of a multidisciplinary team. This position will use developed analytical skills to evaluate data, support assigned data preparation and quality review activities, assist with analytical work products, and contribute to recurring and ad hoc fraud analytics tasks under regular review.
Support data preparation, transformation, and quality review activities used in analytics and reporting processes.
Assist with testing and validation of data ingestion outputs, analytical datasets, and data source updates under guidance from senior team members.
Use independent judgment to evaluate options, apply developed analytical skills, and recommend solutions for analytical challenges of limited scope.
Analyze structured and unstructured data to identify trends, anomalies, patterns, correlations, and potential indicators of suspicious or fraudulent activity.
Support refinement and documentation of fraud indicators, analytical datasets, detection logic, and recurring fraud analytics findings.
Contribute to data mining, pattern recognition, link analysis, behavioral analysis, and basic statistical analysis activities that support operational decision-making.
Support analysis of transactional, behavioral, and system activity data to identify trends and indicators requiring further review.
Document technical processes, analytical methods, data assumptions, findings, and work products to support knowledge sharing and operational continuity.
Coordinate with technical teams, analysts, engineers, and client stakeholders to clarify requirements, exchange information, and support delivery of assigned tasks.
Prepare reports, dashboards, briefings, presentations, and technical documentation that communicate analytical findings to technical and non-technical audiences.
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.
Four (4) or more years of professional experience supporting data analytics, fraud analytics, business intelligence, data science, investigations, reporting, or a related analytical discipline.
Experience supporting data integration, data preparation, extract, transform, load activities, data quality initiatives, or analytical dataset development.
Experience analyzing datasets and identifying trends, anomalies, patterns, or correlations using analytical and statistical techniques. <
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