Senior Product Security Engineer - AI & LLM

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped QRT’s collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors. You will work on securing AI systems across the firm, including LLM-powered applications, AI tooling, agents, and supporting infrastructure. The role focuses on embedding security into the design, development, and operation of AI systems, working closely with engineering and platform teams to enable safe and scalable adoption. This is a hands-on role covering threat modelling, architecture review, and implementation of security controls across complex, evolving systems. Your future role within QRT Partner with engineering and platform teams to define and implement security for AI and LLM-based systems Perform threat modelling, architecture reviews, and security assessments for AI use cases Design and implement security controls for AI applications, agents, model integrations, and data flows Define secure patterns for access control, secrets management, logging, monitoring, and safe execution Assess risks including prompt injection, data leakage, excessive permissions, and third-party AI dependencies Contribute to reusable security patterns, guidance, and guardrails for teams building AI systems Support security testing, vendor assessments, and incident response for AI-enabled applications Your present skillset Strong understanding of systems engineering and architecture in complex environments Experience applying security controls across applications, infrastructure, and platforms Expertise in threat modelling, secure design review, and secure software development practices Knowledge of authentication, authorization, secrets management, and observability practices Experience reviewing third-party platforms, SaaS services, APIs, and open-source components from a security perspective Ability to work collaboratively in fast-paced engineering environments with a practical approach to problem solving Interest in AI systems, including security risks related to LLMs, agents, and data workflows QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.