לוח משרות דרושים אנליסט סייבר משרה מלאה, לחיפוש זה נמצאו 50 משרות

Requirements:
1-2 years experience with intelligence analysis processes (army included), including Open-Source Intelligence (OSINT) and Web Intelligence (WEBINT) gathering, link analysis, and threat actor profiling
Inherent passion for Infosec and service excellence, understanding of cybersecurity
Investigative and analytical problem-solving skills
Knowledge of analytical tools, including excel
Fluent English
Infosec certifications an advantage
Customer facing background an advantage.

Requirements:
1-2 years experience with intelligence analysis processes (army included), including Open-Source Intelligence (OSINT) and Web Intelligence (WEBINT) gathering, link analysis, and threat actor profiling
Inherent passion for Infosec and service excellence, understanding of cybersecurity
Investigative and analytical problem-solving skills
Knowledge of analytical tools, including excel
Fluent English
Infosec certifications an advantage
Customer facing background an advantage.

Requirements:
Native French speaker
1-2 years experience with intelligence analysis processes (army included), including Open-Source Intelligence (OSINT) and Web Intelligence (WEBINT) gathering, link analysis, and threat actor profiling
Inherent passion for Infosec and service excellence, understanding of cybersecurity
Investigative and analytical problem-solving skills
Knowledge of analytical tools, including excel
Fluent English
Infosec certifications an advantage
Customer facing background an advantage.

Requirements:
5+ years of experience in fintech or payments fraud analytics. You are a seasoned IC who has scaled fraud programs in complex, high-volume environments.
AI/ML Expertise: Proven experience leveraging Generative AI, LLMs (e.g., RAG, agentic workflows), and Machine Learning to solve real-world risk problems. You don't just use these tools; you know how to build with them.
Technical Powerhouse: Mastery of Python (for data science and automation) and SQL (performance tuning, CTEs, window functions). You are comfortable working alongside engineers and data scientists.
Network Analysis: Deep experience with graph databases (Neo4j, TigerGraph) and link-analysis techniques to identify organized criminal networks.
Demonstrated ability to translate complex quantitative findings into executive‑level insights and influence roadmaps across product, engineering, finance, and support.
Strategic Influence: While this is not a management role, you have a track record of influencing technical roadmaps and advising senior leadership on risk-reward trade-offs.
Advanced data‑visualization skills (Looker, Tableau, Omni, Superset, or equivalent) with a portfolio of self‑service dashboards adopted by the company‑wide.
Domain Depth: Expert knowledge of the payments lifecycle, including CNP, ACH, and RTP risk, as well as the specific fraud challenges of the SaaS and marketplace sectors.
Regulatory Fluency: A solid understanding of PCI DSS, Nacha rules, and the emerging regulatory landscape surrounding AI in financial services
Prior experience scaling fraud programs in a marketplace, SaaS, or creator‑economy context - Advantage.
Education: Bachelors or Masters degree in a quantitative field (e.g., CS, Statistics, Mathematics, Economics) or equivalent technical experience- Advantage..

Requirements:
What youll need:
2+ years of experience as a Data Analyst / Fraud Analyst / Security Data analyst in a fast-paced, data-rich SaaS environment.
Detection & Analytics Focus: Proven experience in analyzing security/fraud data, building detection logic, and performing Exploratory Data Analysis (EDA).
Strong Tech Stack: Proven expertise in BigQuery and advanced SQL. Hands-on experience with Grafana (or modern visual analytics tools).
Programming: Solid familiarity with Python (Pandas/NumPy) for data manipulation and analysis.
Communication & Stakeholder Management: High verbal and written communication skills in English-capable of leading discussions and presenting complex analytical findings to Enterprise clients and internal leaders.
Problem-Solving & Agility: A proactive mindset with a proven ability to multitask and turn complex data into clear action items.
Education: BA/BS in Statistics, Industrial Engineering, Operations Research, Computer Science, Economics, or a related quantitative field.
Advantage:
Experience in building, configuring, or leveraging AI Agents / AI Tools to automate workflows.
Hands-on experience with cyber/fraud detection mechanisms and threat analysis.
Prior experience in a modern SaaS/B2B Product Analytics role.

Requirements:
3+ years of experience in technical analysis, cybersecurity, cloud technologies, or related domains.
Strong understanding of cloud security, data protection, and SaaS platforms.
Familiarity with data protection, DSPM, DLP, and AI-security markets.
Proven ability to break down complex technical systems and translate them into actionable insights.
Strong interpersonal skills with a collaborative mindset, able to build trust and work effectively across diverse teams.
Excellent communication skills, both written and verbal, to convey technical findings to non-technical stakeholders.
Analytical mindset with a healthy skepticism toward marketing claims and unsupported narratives.

Requirements:
An insightful and influential collaborator to join our team. We encourage you to apply for this position if you have the following qualities:
At least 3 years of experience in an Incident Response or Security Operation roles
Strong understanding of attack vectors, including Phishing, BEC, Email spoofing and impersonation techniques, Malware, ATO and more
Knowledge of email protocols and security concepts: SMTP, SPF/DKIM/DMARC, headers, authentication methods
Strong querying skills using SQL, SPL, KQL or AQL
Good knowledge with Static & Dynamic techniques
Familiarity with and understanding of code and scripting languages such as Python, JavaScript, Visual Basic, or similar - with the ability to read, interpret, and analyze potentially malicious scripts
Excellent written and verbal communication in English
Team player with a proactive, ownership-driven approach.

Requirements:
Deep understanding of network (IP), transport (TCP/UDP) and application layer protocols
At least two years of practical experience with Big Data systems, like Elastic, SQL or Splunk
Experience in research/detection of cybersecurity incidents
Fluent in written English language
כישורים נדרשים
Technological degree (preference for C.S) or a relevant experience in army service
Understanding of Data Science and automation tools: Jupyter, Scipy
Familiarity with IDS tools: Snort, Suricata
Experience with full packet capture (PCAP) analysis, using Wireshark.

Requirements:
A bachelor's or master's degree in Digital Forensics, Cybersecurity, Computer Science, or a related technical field, or equivalent practical self-study, plus 3 or more years of hands-on experience in digital forensics, incident response, or threat hunting, ideally in a consulting or services delivery environment.
Comfort analyzing Windows environments and forensic artifacts, with a foundational understanding of forensic methodologies, evidence handling, acquisition techniques, and chain-of-custody procedures.
Experience with forensic tools such as X-Ways Forensics, Axiom, and FTK; with EDR/XDR platforms (SentinelOne preferred) and SIEMs; and working knowledge of network protocols and network-based forensic analysis.
Scripting and automation capabilities.
Strong verbal and written communication, with comfort documenting and presenting technical findings clearly and precisely.
Ability to perform technical investigations under pressure in high-stakes, time-sensitive situations, while maintaining composure.
An evident self-starter with intellectual curiosity and the ability to adapt to change.
Knowledge of Linux and macOS forensic analysis, exposure to cloud environments (AWS, Azure, GCP) and memory analysis, and foundational experience conducting malware analysis and understanding the reverse engineering process are preferred.
Familiarity with endpoint threat hunting, cyber threat intelligence platforms, the MITRE ATT&CK framework, and AI-assisted tools for streamlining triage, analysis, or reporting workflows is preferred.
Relevant industry certifications, such as GCFE, GCFA, GREM, CFCE, or EnCE, and interest in contributing to industry publications, research, or speaking engagements are preferred.

Requirements:
5+ years of experience in cybersecurity research, with a proven track record of impactful projects.
Good knowledge of Linux OS internals, including both user and kernel space.
Solid knowledge of the cyber threat landscape, modern malware techniques, and APTs.
Hands-on experience in real-world threat hunting, incident response, or detection engineering.
Proficiency in programming languages such as Python, C, and/or C++, with a strong understanding of system-level programming and APIs.
Excellent problem-solving skills and a passion for cybersecurity innovation.
Ability to work independently, take initiative, and collaborate effectively in a team environment.
Preferred Qualifications
Background in EDR/XDR products or security solution development.
Experience in reverse engineering, including familiarity with debugging and disassembly tools such as GDB, IDA Pro, or Ghidra.
Experience in advanced data analysis, statistics, or machine learning for security applications.
Experience with Linux kernel development or vulnerability research.
Familiarity with virtualization platforms (e.g., ESXi/vCenter).