Top Tech Jobs & Startup Jobs in London

Leads technology risk and controls management by identifying, quantifying, and mitigating compliance and operational risks. Oversees control effectiveness, issue management, governance, reporting, and regulatory alignment. Partners with technology stakeholders, control teams, data officers, and regulators to improve risk posture and support executive decision-making. Uses enterprise-authorized AI to synthesize evidence and streamline control testing while validating outputs for security, auditability, and regulatory compliance.

Designs, develops, and optimizes distributed computing solutions across HPC, Kubernetes, and cloud environments. Builds software in C++, Python, and Go; deploys applications using Kubernetes and HPC/grid technologies; and applies generative AI and observability tooling to improve monitoring and performance. Collaborates with cross-functional teams to deliver secure, scalable compute platforms.

Leads control management for Workplace Solutions and International Private Bank Solutions. Develops and monitors risk and control frameworks, performs process walkthroughs and control testing, manages issues and remediation, ensures regulatory compliance, establishes risk metrics and reporting, advises senior leaders, oversees initiatives, and mentors junior team members.

Enable Data Product Managers across Asset Management by providing lifecycle guidance, playbooks, working sessions, portfolio visibility, and operating model support. The role drives consistent adoption, resolves delivery blockers, coordinates across platform Product Owners and Transformation teams, and escalates recurring needs to tooling teams. It also supports intake, documentation, maturity assessments, release readiness, dependencies, and multi-phase implementation of data product practices.

Leads requirements capture, telecom tendering, and end-to-end network connectivity solution design across EMEA. Develops resilient architectures, high- and low-level designs, network diagrams, and governance documentation. Evaluates vendors, manages supplier performance and SLAs, embeds operational risk controls, and supports regional network strategy. Partners with business stakeholders, engineering teams, sourcing groups, and telecom providers while mentoring engineers and evaluating emerging connectivity technologies.

Principal Architect advising cross-functional teams on cloud-based infrastructure architecture, technology selection, strategic roadmaps, migrations, and platform adoption. The role translates client strategies into infrastructure requirements, develops AI-enabled engineering and governance patterns, and ensures solutions meet resiliency, security, and auditability standards. It also requires client-facing consultation, product ownership experience, advanced software architecture expertise, and communication with senior executives.

The Vice President will oversee EMEA Payments product control, ensuring accurate financial statements, P&L reporting, risk metrics, month-end close, and robust controls. Responsibilities include financial analysis, stakeholder reporting, issue resolution, project leadership, control improvements, and support for business initiatives. The role requires collaboration across functions, strong analytical and communication skills, and expertise in payments processes, financial reporting, and control environments.

Lead delivery of complex technology programs by developing project plans, managing risks, budgets, vendors, and cross-functional teams. Apply technical fluency, agile methods, and data-driven analysis to optimize program performance, influence stakeholders, and support operational planning and risk management for high-quality service delivery.

Supports EMEA data governance and risk management across asset and wealth management. Responsibilities include maintaining governance standards, coordinating forums, investigating policy breaches, tracking remediation, supporting data protection activities, improving processes, managing workstreams, reporting metrics, and coordinating regulatory requirements. The role partners with Risk, Compliance, Legal, Audit, Technology, data owners, and senior stakeholders while identifying opportunities to use AI and automation.

Build and deploy practical machine learning, deep learning, and generative AI solutions. Design and evaluate experiments, work with large language models and AI agents, write production-quality code, optimize model performance, and collaborate with product and engineering teams to deliver scalable AI systems.