A high-growth, globally acclaimed Cybersecurity innovator safeguarding digital assets, decentralized ecosystems, and next-generation Web3 infrastructure.
Having secured tens of millions of dollars in venture backing from tier-1 global VC funds, the organization employs over 100 professionals worldwide, anchored by its primary R&D center in Israel.
The company has engineered a real-time autonomous security platform protecting millions of users against sophisticated financial fraud, phishing vectors, and malicious on-chain attacks serving as the defensive backbone for world-renowned tech platforms and institutional crypto enterprises.
The firm fosters an elite engineering and intelligence research environment blending threat analysis with large-scale data science. The offices are centrally located in Tel Aviv adjacent to a train station, operating on a hybrid model with one day working from home.
Role Description-
- Serving as a Security Data Analyst / Threat Intelligence Analyst embedded directly within the core R&D organization, bridging cybersecurity research, threat hunting, and deep data analytics.
- Leading forensic investigations and data-driven analysis of real-world threats, fraud schemes, sophisticated phishing campaigns, and malicious transaction patterns.
- Uncovering adversarial behavioral patterns and extracting actionable security intelligence from massive, highly complex datasets.
- Designing, developing, and deploying automated analysis pipelines, investigation tools, and detection logic leveraging Python and advanced SQL.
- Partnering cross-functionally with Core Engineering, Security Researchers, and Product teams to translate threat discoveries into production-grade detection mechanisms and automated mitigation models.
- Building impactful data visualizations and monitoring dashboards to track threat trends, attack distributions, and platform security performance.
Requirements-
- 5+ years of proven experience in Security Analytics, with a solid technical foundation in Cybersecurity, Digital Forensics, or Threat Hunting – Mandatory
- Expert-level SQL capabilities for querying, manipulating, and analyzing complex relational and non-relational datasets – Mandatory
- High proficiency in Python for data manipulation, log parsing, scripting, and automation – Mandatory
- Analytical Mindset: Exceptional attention to detail, strong problem-solving skills, and a proven passion for deconstructing ambiguous data puzzles – Mandatory
- Hands-on familiarity with modern data visualization platforms (Tableau, Looker, etc.) to build insightful operational dashboards – Advantage