Security Engineer – AI Application & Infrastructure

Leading international bank focused on cybersecurity technology and AI security in the financial sector.

• 6+ years of experience in cybersecurity or application security engineering.
• Expertise in secure code review, vulnerability analysis, and AI/ML security risks.
• Hands-on experience with security tooling such as SAST, container security, and vulnerability scanning.
• Knowledge of API security, OAuth 2.0, JWT, and secure CI/CD pipelines.
• Proficiency in Python scripting and automation for security workflows.
• Experience with security standards like NIST and ISO 27001 in regulated financial environments.
• Ability to lead security threat modeling and communicate technical findings.
• Fluent English and experience working in Agile teams.

Nice to have:

• Experience with OWASP LLM Top 10 or adversarial ML techniques.
• Knowledge of cloud security on GCP and/or Azure.
• Security certifications such as CSSLP, CEH, OSCP.
• Experience with Software Composition Analysis tools.
• Background in financial services or regulated sectors.

• Conduct secure code reviews and provide developer-friendly security findings.
• Act as a security consultant identifying insecure AI/ML patterns and compliance gaps.
• Build proof-of-concept and proof-of-value implementations for new security solutions.
• Assess and report on security findings using analytical methodologies.
• Evaluate large language models for security applications.
• Review AI platform configurations, access controls, and deployment settings.
• Develop technical documentation for knowledge sharing.
• Identify risks in AI/ML pipelines and define secure-by-default best practices.
• Examine third-party AI supply chains for vulnerabilities.
• Contribute to security patterns, policies, and guidance across AI projects.
• Mentor colleagues and promote best security practices in AI development.

Only candidates with an existing legal right to work in the European Union will be considered for this role.