Senior Security Researcher (Phishing) - EMEA

What You'll Do

• Data Collection: Locate, target and recapture data from Phishing-as-a-Service (PhaaS) kits using a combination of human intelligence and platform sourcing.
• Data Analysis: Apply data science techniques to understand the quality of sourced data, in order to refine and improve the PhaaS data sourcing pipeline.
• Human Intelligence: Perform human intelligence techniques such as managing multiple alternate personas, actor engagements, and social engineering in support of data recapture efforts.
• Security Analysis: Participate in the drafting of research blogs and analytical products to support customers and business objectives.
• Security Research: Participate in security research including investigation of threat actors, PhaaS, and other critical research in support of SpyCloud's priorities.

Requirements

• 5+ year(s) experience as a cybersecurity researcher, analyst, or similar cybersecurity related position.
• Working knowledge of modern PhaaS kits and techniques, inducing AiTM and Device Code phishing.
• Working knowledge of the criminal underground and how to access data traded through the deep and dark net.
• Experience with human intelligence techniques including elicitation, persona management, and direct threat actor engagement.
• Critical thinker that is comfortable supporting collaborative problem solving in a team environment.
• Excellent communication skills.
• Highly curious, empathetic, flexible and self-directed.
• Experience working in a remote work environment with team members all around the world.
• A passion for thwarting bad actors in the cyber criminal ecosystem.

Nice to Have

• Experience with a high-level programming language like Python, Rust, Go.
• Experience working with large enterprises in delivery of security analytics products.
• Experience in using data science to analyze datasets for the purposes of detecting fraud or cyberthreats.
• Experience with databases (relational or NoSQL).
• Experience automating data collection and analysis with a programming language.
• Experience working with industry peers and sharing information in a secure manner.
• Experience using AI/LLMs to perform data analysis tasks with large datasets.
• Experience scraping data from deep and dark web.