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Our client is a leading global investment management company headquartered in London. It manages over $228 billion in assets and serves institutional investors, pension funds, wealth managers, and other sophisticated clients worldwide. The firm specializes in quantitative investing, alternative investments, systematic trading strategies, and technology-driven asset management. Data science, machine learning, and AI are core components of its investment and research processes. As part of our collaboration we will focus on two foundational capabilities required to enable safe and scalable AI adoption across the enterprise: Agentic Security and AI-Ready Data Foundations.
Job Responsibility
Design and ship IaC-driven, self-service identity patterns
Define the currently undefined agentic runtime security model
Lead the transition from long-lived secrets toward ephemeral, time-based, risk-scored credentials
Layer LLM / software guardrails on top of hard guardrails
Establish an opinionated onboarding standard
Design SIEM integration, behavioural baselining, and anomaly detection for agentic workflows
Take bounded beachheads from vague to delivered
Requirements
6+ years in security architecture and/or platform engineering, with a track record of shipping production code
Deep, mechanical command of modern identity and authorisation: OIDC / OAuth2 / JWT
Hands-on HashiCorp Vault experience
Keycloak policy modelling
Strong Terraform / IaC fluency
Working knowledge of the Active Directory + Entra legacy reality
Nice to have
Real exposure to agentic / LLM systems
Familiarity with MCP as an integration / onboarding standard
Experience with just-in-time, task-scoped delegation versus standing access
Behavioural baselining / anomaly detection for workloads
SIEM integration and action attribution
Financial-services audit literacy
Consulting or client-facing / pre-sales experience