Fraud Analytics Tech Lead — Strategy & Execution

Guidehouse Digital, LLC; Arlington (VA); On-site; USD 130,000 - 180,000; Full time

Benefits offered by this job

Medical Insurance

Dental & Vision

401(k) Retirement Plan

Parental Leave

Paid Holidays

Tuition Reimbursement

Job summary

Guidehouse is seeking a Principal Fraud Analytics Technical Lead to guide fraud analytics workstreams and coordinate analytical product delivery. You will provide technical leadership, refine detection logic, and support platform operations across investigations and reporting.

You’ll work with data engineers and analysts to improve fraud detection and analytics workflows. You will present technical briefings and lead the development of indicators, models, and dashboards, ensuring data quality

Qualifications

• Bachelor's degree in a STEM field with strong analytical foundation.
• 7+ years’ experience in fraud analytics, cybersecurity analytics, or related delivery.
• Ability to provide technical leadership and mentor teammates.

Responsibilities

• Lead day-to-day fraud analytics workstreams and coordinate delivery.
• Develop indicators, detection logic, and analytical algorithms.
• Prepare technical briefings, dashboards, and executive summaries.
• Support data ingestion, schema alignment, and data quality reviews.
• Collaborate with engineers and analysts to meet investigative needs.

Skills

Fraud analytics

Cybersecurity analytics

Data science

Data engineering

Predictive analytics

Incident response

Leadership

Mentorship

Education

Bachelor's degree in Data Science, Computer Science, Cybersecurity, Information Systems, Statistics, Mathematics, Engineering, OR related STEM field

Tools

Python

R

Java

SQL

No-SQL

Spark

Elasticsearch

Parquet

Splunk

PowerPoint

Word / Excel

HTML / Flask / JavaScript

Linux shell

Job description

Guidehouse is seeking a Principal Fraud Analytics Technical Lead to guide fraud analytics workstreams and coordinate analytical product delivery. You will provide technical leadership, refine detection logic, and support platform operations across investigations and reporting.

You’ll work with data engineers and analysts to improve fraud detection and analytics workflows. You will present technical briefings and lead the development of indicators, models, and dashboards, ensuring data quality