Platform Engineering Lead - Python/Cloud/Financial Risk - Investment Bank, London

High-impact leadership role within a core platform team delivering infrastructure and services that support financial modelling and risk analytics. The platform underpins high-performance Python applications and distributed systems used by quants and analysts, with strong business backing and a clear mandate to scale. This is a strategic opportunity to lead near the ground floor of a modern alternative to Legacy financial platforms, with full ownership of technical direction, team structure, and delivery discipline. Key Responsibilities: Lead two teams: one focused on DevOps/infrastructure, the other on quant-facing analytical tooling. Oversee delivery of Python-based distributed systems and REST APIs for financial risk and analytics. Drive cloud-native architecture (Kubernetes, GCP/AWS) and CI/CD pipelines. Instil engineering discipline to ensure scalability and prevent platform sprawl. Align platform strategy with quant and business needs through close stakeholder engagement. Essential Skills: Strong Python development background. Experience building distributed systems and RESTful APIs. Cloud-native engineering (GCP or AWS), Kubernetes, DevOps tooling. Background in financial systems or risk platforms. Proven leadership in finance or analytics tooling environments. Ability to translate complex business requirements into technical strategy. Desirable: Front End experience (TypeScript/ReactJS). Knowledge of options pricing or financial risk ..... full job details .....