🛠 Tech Stack

💼 About This Role

You'll provide advanced technical leadership and fraud analytics expertise supporting the IRS Cybersecurity Fraud Analytics and Monitoring (CFAM) program. Your work will directly impact predictive analytics, forensic analysis, and machine learning initiatives for national security.

🎯 What You'll Do

• Serve as senior technical advisor for fraud analytics and cybersecurity monitoring.
• Support development of analytical algorithms to detect anomalous activity.
• Analyze large structured and unstructured datasets to identify threats.
• Develop technical reports, briefings, and executive summaries.

📋 Requirements

• Bachelor's degree in Cybersecurity, Computer Science, or related field.
• Minimum of 9 years supporting cybersecurity or fraud analytics operations.
• Experience with predictive analytics, machine learning, or forensic analysis.
• Familiarity with SIEM platforms and cybersecurity monitoring technologies.

✨ Nice to Have

• Experience supporting IRS, Treasury, or Intelligence Community.
• Familiarity with Python, R, SQL, ElasticSearch, Spark, Splunk.
• Knowledge of cloud-based analytics or big data environments.

🎁 Benefits & Perks

• 💵 Competitive pay
• 🏥 Comprehensive health coverage
• 🏖️ Flexible PTO
• 🎓 Tuition reimbursement
• 💪 Professional development support

📨 Hiring Process

Estimated timeline: 3-5 weeks · AI estimate

1. 1Initial application review· 1 week
2. 2Phone screen with recruiter· 30 min
3. 3Technical interview· 1 hour
4. 4On-site interview with team· 3 hours

🚩 Heads Up

• On-site only (Lanham, MD) may limit candidates
• Requires government background investigation