לוח משרות דרושים אנליסט סייבר משרה מלאה, לחיפוש זה נמצאו 62 משרות

We are looking for a Identity Security Analyst who will focus on investigating and resolving customer-reported security bugs. In this role, youll sit at the intersection of security research, product engineering, and customer success: youll reproduce issues, analyze impact and root cause, coordinate fixes with R&D, and communicate findings back to customers in a clear, actionable way.
This is a hands-on, technical position ideal for someone who enjoys debugging, incident-style investigations, and direct customer impact.

As a Security Data Analyst within our R&D team, you will shape how we understand data, uncover trends, and drive strategic decisions across . Working closely with cross-functional teams, you will turn complex datasets into actionable insights that directly influence our business growth and product direction.

Your Chain of Impact:

Identify, analyze, and interpret trends or patterns in complex datasets to uncover actionable insights.
Develop scalable data processes and infrastructure to support internal stakeholders.
Build and maintain dashboards, reports, and KPIs to monitor and improve company performance.
Translate business questions into analytical models and craft compelling data visualizations that tell the story.
Partner with cross-functional teams to understand business needs and design data-driven solutions.

Required Exposure Analyst (Customer-Facing)
About us:
We are a leading hybrid cloud security company thats changing the way organizations approach cyber risk. We transform exposure management by showing our customers exactly how attackers might combine misconfigurations, vulnerabilities, and identity exposures across cloud and on-prem environments to compromise critical assets. With us, our customers can see all the ways attackers might get in-and the best ways to stop them with a fraction of the effort.
About You & The Role:
Are you someone who loves connecting with people just as much as you love talking tech? We are looking for a highly empathetic, customer-focused Exposure Analyst to join our managed services team. In this role, youll be the friendly face and trusted advisor helping our premium customers get the absolute best out of the platform.
Youll dive deep into security postures, translate complex attack paths into simple, actionable steps, and build the kind of trust that makes IT and Security teams excited to work with you.
Responsibilities:
Be the Trusted Advisor: Own the primary technical relationship for a portfolio of enterprise and mid-market customers, establishing yourself as their go-to security partner representing us in the customers organization.
Daily Posture Reviews & Action: Conduct daily reviews and analyses of your customers' security postures using the platform. You'll turn complex findings into clear, risk-based insights and proactively open remediation tickets.
Weekly Check-ins & Deep Dives: Lead engaging weekly calls with your customers, hosting targeted deep-dive sessions to guide them on configuration, best practices, and new features to ensure optimal ROI.
Bridge the Gap: Drive remediation outcomes by pushing discussions directly with the customers IT, DevOps, and Cloud teams-not just their security teams-helping them prioritize efforts based on attack path analysis.
Deliver the Big Picture: Proactively track progress and provide monthly reports to both technical and executive stakeholders. Youll also co-host Executive Business Reviews (EBRs) alongside our Customer Success team.
Champion the Customer: Act as the lead technical escalation point, partnering with our internal R&D, Product, and Support teams to make sure your customers' needs are always heard and resolved.

Were looking for a Fraud Data Analyst who combines deep technical analytical skills with a strategic mindset and a curiosity for identifying fraud signals and driving trust in the fintech domain. Youll partner closely with product, engineering, and support teams to turn complex data into automated detection models, scalable protocols, and measurable business protection.
As a Fraud Data Analyst, you will be responsible for safeguarding the platform by identifying, investigating, and mitigating fraudulent activity. Your goal is to move beyond manual ticket handling by architecting scalable investigation protocols, automating detection logic, and providing strategic data insights that reduce the teams dependency on manual intervention.
Responsibilities
Lead complex transactional data into insights for suspicious patterns.
Design and maintain Standard Operating Procedures (SOPs) for fraud investigations to ensure consistent, repeatable, and fast resolution times across the team.
Build, automate, and maintain dashboards and reports to track platform health, user behavior, and key trends.
Communicate findings clearly to stakeholders - Product, BE, etc. influencing both tactical and strategic decisions.
Partner cross-functionally to translate data findings into actionable product and business decisions.
Leverage AI and automation tools to accelerate analytical workflows and uncover deeper insights.

Our Security Operations (SecOps) team is seeking an experienced Security Operations and Incident Response Analyst to elevate our active defense capabilities. In this role, you will take a hands-on approach to our daily threat detection mission actively monitoring and triaging alerts while identifying creative ways to automate the security lifecycle.
This role is ideal for a seasoned analyst who has mastered the fundamentals of security monitoring and is ready to apply those insights to cloud security and detection engineering. You will be an active participant in our daily monitoring operations, using that front-line visibility to proactively tune our alerting logic, eliminate noise, and build higher-fidelity detections.
Working within a collaborative, globally distributed team, you will partner with key stakeholders, hold a significant voice in shaping our tooling, and follow a structured career progression tailored to your professional growth.
What You'll Be Doing:
Monitor & Respond - Serve as a key responder across our cloud and corporate environments, actively triaging alerts, investigating active threats, collecting evidence, and driving incidents to swift containment.
Analyze Cloud Risks - Investigate cloud-native alerts, analyzing infrastructure context and telemetry to isolate, validate, and remediate active risks.
Collaborate Cross-Functionally - Partner with internal engineering and infrastructure teams when needed to coordinate containment, remediation, and post-incident root-cause analysis.
Optimize Detections & Playbooks - Collaborate with senior engineers to tune alerting logic, suppress noise, and develop higher-fidelity detection rules, while identifying opportunities to optimize automated playbooks for alert enrichment and triage.

we are looking for a Fraud Data Scientist.
As a Fraud Data Scientist, you will be at the front lines of protecting our ecosystem from sophisticated financial fraud and abuse. You will join a high-impact team operating in a data-rich, high-frequency environment where seconds matter.
In this role, you will take ownership of the end-to-end machine learning lifecycle-from uncovering complex fraud patterns to deploying highly scalable, real-time models into production. You will collaborate closely with Engineering, Product, and Risk Operations to build robust defenses that balance strict security with a seamless user experience.
What You Will Be Doing
Model Development & Deployment: Design, train, and deploy advanced machine learning models (e.g., gradient boosting, anomaly detection, graph networks) to detect and mitigate fraud in real-time.
Production Ownership: Take full ownership of putting models into production systems, ensuring low-latency execution and high reliability.
Agentic Workflows: Research, build, and implement Agentic flows and LLM-driven orchestration to automate multi-step fraud decisioning, logic routing, and investigation paths.
Adversarial Analysis: Conduct deep-dive exploratory analysis on massive datasets to identify emerging fraud vectors, loops, and coordinated attacks.
Feature Engineering: Build and optimize real-time streaming and batch features to improve model signal and precision.
Experimentation & Monitoring: Design rigorous shadow-testing and A/B testing frameworks for new models. Set up continuous monitoring pipelines to catch data drift and performance degradation early.

we are looking for a MXDR Analyst to join the team of cybersecurity analysts monitoring services 24/7. The role includes development of detection analyses, triage of alerts, investigation of security incidents, proactive threat hunting and enhancement of sensors and overall visibility status. The suitable candidate should be a team player with previous experience in SOC, SecOps or security monitoring, independent, and with a can-do attitude.
Responsibilities:
Working across all areas of SOC, including continuous monitoring and analysis, threat hunting, security compliance, security event auditing and analysis, rule development and tuning, and forensics.
Solving security incidents in accordance with defined service level agreements and objectives.
Prioritizing and differentiating between potential incidents and false alarms.
Addressing clients enquiries via phone, email, and live chat.
Working side-by-side with customers, providing insightful incident reports.
Working closely with peers and higher-tier analysts to ensure that your analysis work meets quality standards.
Identifying opportunities for improvement and automation within the MXDR Operation Lead, and leading efforts to operationalize ideas.
Identifying and offering solutions to gaps in current capabilities, visibility, and security posture.
Correlating information from disparate sources to develop novel detection methods.

We are expanding our Fraud Intelligence Unit and need passionate, sales-focused, fraud fighters to join our team.

Reporting to the Global Fraud Intelligence Director, you will be responsible for conducting deep-dive, targeted analysis of fraud patterns to support high-impact, engagement strategies for prospective customers, with the goal of supporting the sales team and business in securing revenue growth. Unlike broader trend analysis roles within the team, this position focuses on generating highly tailored insights for a defined set of priority prospects, helping articulate the need for our advanced fraud and financial crime prevention solutions.

You will work closely with internal stakeholders to analyse us and external data with a hypothesis-driven approach, uncovering specific vulnerabilities, attack patterns, and risk exposures relevant to individual organisations or segments. Your work will translate complex data into compelling, evidence-based narratives that highlight both the impact of fraud and the urgency of addressing it.

Key responsibilities:
Support the Sales team in the generation and progression of revenue-generating opportunities.
Conduct deep, targeted analysis of our data to identify customer- or segment-specific fraud patterns, risks, and vulnerabilities.
Apply advanced analytical techniques and hypothesis-driven investigation to uncover insights that are not visible through high-level trend analysis.
Leverage AI-assisted analytical tools to enhance the scale and speed of analysis, while applying rigorous data validation and expert judgment to ensure accuracy and relevance.
Translate analytical findings into tailored, prospect-relevant narratives that clearly articulate fraud exposure, business impact, and the value of mitigation strategies.
Develop insight-driven materials that support commercial engagement, including customer-specific briefings, strategic reports, and pre-sales narratives.
Collaborate closely with sales, marketing, and regional teams to align analytical tasks with customer priorities and commercial objectives.
Design and develop effective data visualisations that simplify complex findings and strengthen the impact of customer-facing storytelling.
Present findings internally as well as directly to customers, demonstrating credibility through data-backed insights and clear articulation of fraud risks.
Build and maintain analytical frameworks, datasets, and repeatable methodologies that support scalable customer-focused analysis.
Identify opportunities to enhance analytical workflows through automation and AI, while ensuring critical thinking and professional judgment guide all conclusions.
Stay current with emerging fraud trends, analytical techniques, and AI capabilities, applying them to continuously improve the precision and impact of insights.

We are seeking an Incident Response Engineer to join the IR team. This technical role focuses on active investigation, threat mitigation, and the continuous improvement of the security organizations posture through detection engineering and automation development.

The successful candidate will be responsible for the full lifecycle of security incidents, from initial triage to recovery. Beyond reactive response, this role involves tuning SIEM correlation rules and developing SOAR workflows to increase operational efficiency.

What Youll Be Doing
Incident Management: Execute the IR lifecycle (Triage, Containment, Eradication, Recovery) for complex security events.
Technical Investigation: Perform root cause analysis and forensic examination across Windows, Mac, and Linux environments.
Detection & Tuning: Collaborate with the IR team to create, test, and tune SIEM rules and dashboards to reduce false positives and improve visibility.
Automation Engineering: Build and refine SOAR playbooks and automated response actions to streamline repetitive investigation tasks.
Cloud Security: Monitor and mitigate cloud-native threats across Azure, AWS, and GCP environments.