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AXA

Global insurer offering life, property, casualty

AI-Enhanced Penetration Tester

Offensive Security & TestingConfirmed live in the last 24 hours
Full-timeMadrid, SpainNo salary listedIn-person

About the Job

Requirements

  • At least 3 years of hands-on experience in penetration testing, ethical hacking, or offensive security roles.
  • Proven experience or strong demonstrable interest in applying artificial intelligence and machine learning concepts and tools to cybersecurity challenges.
  • Strong understanding of traditional penetration-testing methodologies, tools such as Burp Suite, Nmap, Metasploit, and Nessus, and common vulnerabilities such as OWASP Top 10 and CWE.
  • Expert-level proficiency in Python, including developing scripts, automation, and integrating application programming interfaces.
  • Solid understanding of core artificial intelligence and machine learning concepts, algorithms, and data science principles, including supervised and unsupervised learning, deep learning, and natural language processing.
  • Experience conducting security assessments in cloud environments such as AWS, Azure, and Google Cloud Platform.
  • Proficiency with Linux, Windows, and macOS environments.
  • Strong understanding of TCP/IP, network protocols, and common network security controls.
  • Analytical problem-solving skills to identify and exploit complex vulnerabilities and analyze large datasets for security insights.
  • Written and verbal communication skills to articulate technical findings, risks, and recommendations to technical and non-technical audiences.
  • Ability to collaborate with security engineers, developers, and infrastructure teams, communicate findings, promote secure development, and mentor junior team members on AI-enhanced techniques.
  • Commitment to continued learning and development in artificial intelligence and cybersecurity.

Responsibilities

  • Conduct detailed security assessments and penetration tests across web applications, application programming interfaces, network infrastructure, cloud environments, and internal systems.
  • Research, evaluate, and implement artificial intelligence and machine learning tools and techniques to augment and automate penetration-testing workflows, including reconnaissance, asset discovery, attack-surface mapping, vulnerability discovery, fuzzing, code analysis, exploit development, threat modeling, attack-path analysis, payload generation and obfuscation, and behavioral anomaly detection.
  • Use AI-driven tools and techniques to continuously monitor and map the organization's attack surface, identify new assets, services, and potential entry points, and detect changes that may introduce risk or expand the attack surface.
  • Validate vulnerability-scanning tools; analyze vulnerability data to identify trends, prioritize remediation, and assess risk; re-verify remediated vulnerabilities; and provide data-driven insights into security-control efficacy.
  • Develop custom scripts and tools, and integrate artificial intelligence and machine learning models to enhance penetration-testing platforms and create offensive-security capabilities.
  • Document findings, proof-of-concept exploits, risk assessments, and actionable remediation recommendations for development and operations teams.
  • Research emerging attack techniques and artificial intelligence and machine learning applications for offensive security.

Desired Qualifications

  • Experience with AI-powered security tools for vulnerability scanning, threat intelligence, attack-surface management, or code analysis.
  • Experience developing or customizing artificial intelligence and machine learning models for offensive-security tasks, such as natural language processing for social engineering, anomaly detection for network traffic, or predictive vulnerability modeling.
  • Active participation in the security community, including capture-the-flag competitions, conferences, or open-source contributions related to artificial intelligence in security.
  • Familiarity with machine-learning frameworks such as TensorFlow, PyTorch, and scikit-learn.
  • Experience with large language models and their potential offensive-security applications, including prompt engineering for attack generation and code analysis.
  • Relevant security certifications such as OSCP, OSWE, OSCE, GXPN, GPEN, or CEH.

About the Company

AXA

Global insurer offering life, property, casualty

AXA is a global insurer and asset manager that provides life, health, and property and casualty insurance, as well as related financial services. Its products work by customers paying insurance premiums in exchange for coverage against risks; AXA pools risk across many policyholders, prices premiums based on risk, and pays claims when events occur, while also offering investment and retirement products through its asset management arm. The company has grown through large acquisitions, giving it a wide geographic footprint and a diverse mix of personal, commercial, and specialty insurance offerings. This scale and breadth set AXA apart from many competitors, alongside a long history of strategic mergers that expanded its reach to customers around the world. AXA’s goal is to be a leading global insurer and asset manager, delivering financial protection and long-term value to customers and stakeholders.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1816

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