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Citi in London is seeking an AI Offensive Security Analyst to join the OSVM team. You will run security assessments against AI systems and use AI-powered tools to speed testing, while building new tooling and adapting to evolving threats.
You should have practical security testing experience on web apps, APIs, or mobile apps, and familiarity with Burp Suite, nuclei, and Nmap. Knowledge of OWASP Top 10 and ability to report risk clearly is essential.
Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management.
As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients’ best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Enterprise Operations & Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first-class customer experience. We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services.
Our commitment to diversity includes a workforce that represents the clients we serve from all walks of life, backgrounds, and origins. We foster an environment where the best people want to work. We value and demand respect for others, promote individuals based on merit, and ensure opportunities for personal development are widely available to all. Ideal candidates are innovators with well-rounded backgrounds who bring their authentic selves to work and complement our culture of delivering results with pride. If you are a problem solver who seeks passion in your work, come join us. We'll enable growth and progress together.
The Chief Information Security Office (CISO) is home to deeply talented colleagues that work to ensure the safety of Citi's clients', our revenue, our employees and our proprietary data. We manage information security as one end-to end program – one with a clear mandate and accountability. Our mission is a program that is fully anchored to modern control and architectural frameworks, is fully aligned with the enterprise architecture of the firm and is deeply integrated into the businesses and functions.
Citi's Offensive Security and Vulnerability Management (OSVM) team is hiring practitioners who can run security assessments against AI systems and use AI-powered tools to make security testing faster and more effective.
The AI Offensive Security Analyst is an operational role on a team that runs penetration tests, vulnerability assessments, and Red Team adversarial evaluations across Citi's application portfolio. The AI dimension is twofold: you'll test AI systems as a target, and you'll use AI tools as part of how you work. We're looking for someone to help build the tools from scratch and who knows how to get the most out of them, knows their limits, and can operate in an environment where the right approach isn't always obvious yet.
AI-driven vulnerability management. When frontier models can generate thousands of findings in a weekend, the bottleneck shifts from discovery to triage, verification, and remediation. We're building the pipeline that makes this sustainable.
Security architecture for the AI era. Defining how a global bank deploys, monitors, and governs agentic AI — from standards and evaluation frameworks to production runtime monitoring.
AI at scale, not in a lab. Citi has deployed AI tools to 180,000+ employees, equipped 30,000 developers with AI coding assistants, and is rolling out agentic AI capabilities firm wide. Securing that footprint and the platforms that underpin them is the job.
Securing AI agents that can behave like insider threats. Frontier models can harvest credentials, escape sandboxes, and adapt when they detect monitoring. We're designing the containment architectures and runtime controls to operate them safely at enterprise scale.
Real security engineering. Thisisn'ta cyber seat whereyou'llspend your timeinadministration. You will be expected to understand the code, the architecture, the threats, and find solutions. You'll have the mandate and the backing to build something meaningful.
Cyber Security Operations - Detection, triage, and response for a world where adversaries use AI to find and exploit vulnerabilities faster than traditional detection can keep up. Behavioral analytics for AI agents. Playbooks for AI-originated attack scenarios.
Testing AI applications and agents. GenAI applications, agentic systems, and LLM-backed products require testing that goes beyond standard web app methodology. Prompt injection, indirect injection, retrieval poisoning, tool misuse, sensitive data extraction, unsafe delegation, these are real attack classes with real business impact. You'll design and execute test cases for them.
Using AI to work better. AI-assisted testing changes what's possible in a pen testing engagement: broader coverage, faster reconnaissance, automated validation of common vulnerability classes. You'll be expected to know how to use these capabilities effectively and to help the broader team adopt what works.
Embedding security into development. Working with development teams and security engineers to make sure AI application assessments happen at the right points in the build process.
Practical experience running penetration tests or vulnerability assessments against web applications, APIs, or mobile applications. Alternatively, Red Team experience running adversary simulations as an operator
Familiarity with common security testing tools: Burp Suite, nuclei, nmap, or similar
Working knowledge of OWASP Top 10 and at least some exposure to OWASP LLM Top 10 or MITRE ATLAS
Ability to triage findings and communicate risk clearly to technical and non-technical audience
Hands-on experience using LLM tools in a meaningful way, whether for security testing, security research, or your own workflows
Enough understanding of how LLMs work (context windows, tool use, RAG, agentic chaining) to reason about where they can go wrong
Familiarity with AI testing tools or frameworks, even from personal research or experimentation, is a real plus: Garak, PyRIT, PromptBench, Inspect AI, or equivalent
Comfortable working on problems that don't have a playbook yet
Can write clearly: test plans, findings reports, risk summaries
Curious about the security implications of AI systems, not just the hype around them