Job Description

About Trellix:

Trellix is a global company redefining the future of cybersecurity and soulful work. The company’s comprehensive, open and native cybersecurity platform helps organizations confronted by today’s most advanced threats gain confidence in the protection and resilience of their operations. Trellix, along with an extensive partner ecosystem, accelerates technology innovation through artificial intelligence, automation, and analytics to empower over 50,000 business and government customers with responsibly architected security. More at  https://trellix.com. 

Role Overview:

We are seeking a highly skilled and experienced Anti Spam Research Scientist specializing in email security, including spam detection, phishing analysis, and threat hunting. The idea candidates will have a deep understanding of modern email-based threats, advanced data analytics, machine learning techniques, and cyber threat intelligence. This role will involve developing innovative solutions to detect and mitigate email threats, enhance security defenses, and support proactive threat hunting efforts

About Role

• The candidate should be good at undertaking Email Threat Research Detection and Threat Intelligence Analysis:
• Good exposure in developing Detection Algorithms:
• Actively participating in Incident Response and Threat Hunting
• Collaborate with cross-functional teams, Innovate and create new tools or methodologies to automate threat detection, reduce false positives, and improve detection precision.
• Develop and refine threat models for email-based attack vectors, considering evolving attacker tactics, techniques, and procedures (TTPs).                                                                                        

About You

• Minimum of 2 years of experience in cybersecurity research, specifically in
  email security (spam, phishing and email threat hunting).
• BS/MS in computer science or equivalent experience
• 2+ years of experience writing detection using Snort, Yara, Sandbox, or
  proprietary detection engines.
• Demonstrated expertise in analyzing and mitigating email-based threats
  using a combination of machine learning, statistical analysis, and rule-based detection methods.
• Experience with threat intelligence platforms, and analyzing large datasets to detect email security threats.
• Familiarity with email protocols (e.g., SMTP, IMAP, SPF, DKIM, DMARC) and how they relate to security vulnerabilities.