Fraud Analytics Lead - Principal II

Guidehouse; Arlington (VA); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Health Insurance

401(k) Plan

Paid Holidays

Tuition Reimbursement

Employee Assistance Program

Job summary

Guidehouse is seeking an experienced analytics leader to drive fraud analytics, cybersecurity analytics, and data science initiatives. You will define detection methodologies, mentor teams, and present actionable insights to senior leadership. On-site collaboration at client locations in Lanham, MD is required.

This role requires a strong background in analytics, ML methods, and data integration, with a focus on producing executive-ready outputs and strategic guidance.

Qualifications

• Bachelor's degree in a STEM field and 8+ years of relevant experience.
• Experience leading analytical workstreams across fraud, cybersecurity, or data analytics.
• Ability to develop and apply advanced analyses of complex data.
• Strong communication of technical findings to leadership and stakeholders.
• Proficiency with Python, SQL, and data visualization tools.

Responsibilities

• Establish analytical strategies and priorities for fraud and cybersecurity analytics.
• Develop in-depth analyses to identify fraud and emerging risks.
• Lead analytical workstreams and mentor team members.
• Define detection methodologies and predictive modeling approaches.
• Present technical findings via briefings, dashboards, and reports.

Skills

Fraud analytics

Data science

Machine learning

Python

SQL

Dashboarding

Team leadership

Cybersecurity analytics

Education

Bachelor's degree in STEM field

Tools

Splunk

Spark

Elasticsearch

SQL/NoSQL databases

Job description

Guidehouse is seeking an experienced analytics leader to drive fraud analytics, cybersecurity analytics, and data science initiatives. You will define detection methodologies, mentor teams, and present actionable insights to senior leadership. On-site collaboration at client locations in Lanham, MD is required.

This role requires a strong background in analytics, ML methods, and data integration, with a focus on producing executive-ready outputs and strategic guidance.