לוח משרות דרושים מומחה אבטחת מידע / סייבר, לחיפוש זה נמצאו 193 משרות

As we scale and evolve our fully automated fraud prevention strategies, we are seeking a Data Analyst to join our growing Fraud Analytics team.
We operate in a data-rich, fast-paced environment, processing billions of data points annually, and play a critical role in safeguarding large enterprises from fraud. In this role, you will work at the intersection of data analysis, fraud strategy, and automation, collaborating closely with engineering, data science, and commercial teams to develop scalable fraud detection solutions.
This is a high-impact role with significant ownership and cross-functional collaboration in a team with tremendous room for growth. If you are highly motivated, data-driven, and thrive in a fast-moving environment - you belong with us.
Key Responsibilities
Develop and refine fraud detection strategies by analyzing complex datasets and identifying fraud patterns.
Partner with cross-functional teams, including software engineers, data scientists, and commercial stakeholders, to develop scalable fraud solutions.
Conduct deep-dive risk analyses, leveraging multiple data sources to assess fraud threats and define innovative solutions.
Monitor and automate fraud detection processes to enhance efficiency and effectiveness.

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 Junior Fraud Data Scientist.
As a Junior Fraud Data Scientist, you will contribute to our ongoing efforts to protect our ecosystem from financial threats and abuse. Working under the guidance of senior team members in a data-rich environment, you will assist in identifying malicious behaviors, support detection coverage, and help maintain our automated mitigation strategies.
This role is designed for an analytical professional with 1-2 years of experience who wants to build a deep expertise in adversarial data, learn from an experienced team, and develop their technical skills across modern cloud data platforms.
What You Will Be Doing
Exploratory Data Analysis: Support the team by mining behavioral and transactional datasets to help identify anomalies and emerging fraud patterns.
Model Support & Optimization: Assist in building, tuning, and validating machine learning models (e.g., XGBoost, LightGBM) under the supervision of senior data scientists.
Feature Generation: Extract, engineer, and prepare new data features from structured and unstructured sources to help improve model performance.
Dashboarding & Monitoring: Build and maintain internal dashboards and pipelines to track model health, data drift, and key fraud KPIs.
Cross-functional Collaboration: Work alongside Fraud Analytics and Product teams to help translate operational fraud insights into automated data solutions.

we are looking for a Staff Product Manager Cloud Threat Detection.
The Senior Product Manager will play a key role in the product life cycle with an emphasis on customer requirements, as well as generating and defining the product vision. The Senior Product Manager will work closely with multiple departments, including product management, engineering, UX/UI, sales, customer support, finance, and marketing, to ensure customer requirements are met.
This is an exciting opportunity to join a fast-growing, innovative company, be part of a strong team, and lead a product that solves a high-profile problem in the Cloud Security space. You will be joining the companys product team and leading a significant domain.
Your Opportunity:
Own and lead the vision, strategy, and execution for the Cloud Threat Detection domain, driving end-to-end product development of threat detections and stories, AI risk assessment, eBPF agent, container runtime protection and more. to help customers reduce risk and achieve continuous cloud compliance
Engage directly with customers and prospects to gather insights, validate assumptions, and ensure product decisions align with real-world security challenges.
Collaborate cross-functionally with engineering, design, and research teams to deliver high-impact features and platform capabilities
Drive both inbound and outbound product efforts
Define product strategy and roadmap

we are looking for a Cyber Security Consultant to join our Enterprise Security department. The successful candidate should have strong hands-on cyber security experience, solid technical understanding, and passion for cyber security. In addition, they should have a service-oriented approach, excellent communication skills, and the ability to learn and work with leading cyber experts.
Main Responsibilities:
Evaluate clients' security posture, configurations, architecture, and security strategy, identifying gaps, risks, and improvement opportunities.
Consult on cyber security engagements, including the development of cyber security plans, security roadmaps, and implementation guidance.
Create high-quality deliverables and present the assessment results to a broad range of client stakeholders.
Support security incident engagements and on-demand security improvement activities, as required (up to 20%).

We are looking for talented hackers to join our unique Adversarial Tactics Department. As a Red Team Expert ,you will work with clients to build their resiliency, i.e their capability to prevent and to sustain attacks. You will also be involved in IR engagements with companies that were attacked by adversaries, learn new TTPs and apply those in Red and Purple team engageents.
Your responsibility as a Cyber consultant is to bring the attackers perspective to engagements. You will help design, create and execute Adversary Simulation exercises, and perform attacks against client services, platforms and infrastructure. This will include, among other things, identifying vulnerabilities through simulated external and internal attacks, validating and enhancing an organizations ability to respond and recover from targeted attacks and persistent adversaries.