Behavioral Signals Analyst Role for Trojan Malware Detection

About the Role

This role focuses on analyzing behavioral signals to enhance Trojan malware detection. The position requires expertise in malware analysis, feature selection, and interpreting data from sandbox environments. The company is looking for professionals who can distinguish meaningful attributes from noise to improve threat detection models.

Key Responsibilities

• Analyze behavioral signals from malware samples executed in controlled sandbox environments.
• Identify and prioritize relevant attributes for threat detection, filtering out noise.
• Collaborate with cybersecurity teams to refine malware detection models.
• Research and implement feature selection techniques to improve accuracy.
• Document findings and contribute to reports on emerging malware trends.
• Stay updated on the latest advancements in malware analysis and detection.
• Work closely with data scientists to integrate behavioral insights into machine learning models.

Requirements

• Proven experience in malware analysis and reverse engineering.
• Strong understanding of sandbox environments and behavioral analysis.
• Familiarity with feature selection techniques in cybersecurity.
• Knowledge of machine learning applications in threat detection is a plus.
• Ability to interpret large datasets and extract actionable insights.
• Relevant certifications (e.g., CISSP, CEH) are preferred.

Compensation & Benefits

• Competitive salary based on experience.
• Comprehensive health and wellness benefits.
• Opportunities for professional development and training.
• Flexible work arrangements, including remote options.

How to Apply

Interested candidates can apply directly via the Apply Now button above. Visit the original listing for full application details. For those exploring similar opportunities, check out this Cybersecurity Role: Analyzing FortiClient EMS Vulnerability Exploits or this Cybersecurity Research Role: Analyzing SSD Behavior Tracking Threats. “`json