Fraud Analytics Consultant II — Detection & Insights

Guidehouse Inc.; Arlington (VA); On-site; USD 90,000 - 140,000; Full time

Job summary

Guidehouse Inc. is seeking a Staff II Fraud Analytics Consultant to perform advanced analytics for fraud detection, cybersecurity monitoring, and investigations as part of a multidisciplinary team.

You will work with data scientists, fraud analysts, cybersecurity professionals, engineers, and client stakeholders to support prevention, detection, and continuous improvement initiatives. The role involves analyzing diverse datasets, developing detection logic, and presenting findings to both

Qualifications

• Bachelor's degree in a STEM field or related discipline.
• 6+ years of professional experience in data analytics, fraud analytics, cybersecurity analytics, BI, or investigations.
• Experience analyzing large datasets to identify trends, anomalies, or correlations.
• Experience developing dashboards, reports, or analytical products for decision-making.
• Experience with SQL and data analysis tools; able to query and manipulate data.

Responsibilities

• Analyze structured and unstructured datasets to identify anomalous or fraudulent patterns.
• Support development, testing, and documentation of predictive analytics models and detection logic.
• Provide analytical guidance to project teams and stakeholders.
• Conduct data mining, link analysis, and behavioral pattern recognition for operational decisions.
• Develop recurring and ad hoc analytical products, dashboards, and executive summaries.
• Collaborate with client and contractor teams onsite to gather requirements and implement actions.

Skills

Analytical techniques

Communication

Independence

Education

Bachelor's degree in Data Science / CS / Cybersecurity / IS / Statistics / Mathematics / Engineering

Tools

SQL

Python

R

Spark

Hadoop

Splunk

Job description

Guidehouse Inc. is seeking a Staff II Fraud Analytics Consultant to perform advanced analytics for fraud detection, cybersecurity monitoring, and investigations as part of a multidisciplinary team.

You will work with data scientists, fraud analysts, cybersecurity professionals, engineers, and client stakeholders to support prevention, detection, and continuous improvement initiatives. The role involves analyzing diverse datasets, developing detection logic, and presenting findings to both