Top Tech Jobs & Startup Jobs in London

Lead execution research and transaction cost analysis to inform algorithm roadmap. Build and govern TCA frameworks, run market-microstructure research and A/B tests, develop pre- and post-trade models, translate findings into production features, and partner with Product, Trading, and Technology while mentoring junior researchers.

Lead DevOps Engineer on an agile team supporting low-latency electronic trading, data analytics and quant environments. Provide technical leadership, develop and review production code, manage CI/CD and release activities, automate tooling, monitor capacity, and deliver third-level production support while advocating firmwide engineering practices.

Drive customer-centric product development for Client360 by translating business needs into technical/data requirements, collaborating with engineering and data teams, using analytics to derive insights, managing stakeholder relationships, and supporting product lifecycle execution to increase client engagement and business growth.

Support EMEA compensation strategy and governance by delivering analyses, translating regulatory requirements into frameworks, managing country-specific practices, collaborating on HR technology and reporting, and driving process improvements with an AI focus.

Lead engineering on design, development, and operational stability of market-facing systems. Deliver secure, high-quality Java code, promote enterprise AI-assisted engineering practices, drive automation and resiliency, evaluate vendor solutions, and mentor teams while ensuring secure, compliant adoption of AI and cloud-native architectures.

Own and lead the UK credit-card proposition: define roadmap, set pricing and promotions, model unit economics, manage risk and regulatory compliance, conduct market and customer research, and lead cross-functional product lifecycle activities to drive profitable, responsible growth.

Lead operational risk management for Workplace Solutions globally. Assess risks for business changes, oversee risk assessments and testing, review loss events, support regulatory deliverables, engage with horizontal risk programs, prepare reporting for committees, and promote consistent operational risk practices across regions and control functions.

Support product and control governance by reviewing controls, identifying gaps, coordinating with control and product teams, assessing regulatory/policy impacts, maintaining resiliency dashboards, preparing governance materials, and supporting audits and remediation.

Lead product vision, roadmap, and delivery of CCOR data and analytics capabilities. Partner with Compliance, First Line, Technology, Data Science and stakeholders to translate requirements into features, manage Agile backlog, oversee UAT, training and adoption, and ensure regulatory alignment. Drive analytics and AI/LLM innovation to improve decisioning, controls, and operational risk outcomes.

Lead design and delivery of scalable GenAI platforms and services: build RAG pipelines and agents, model/version management, monitoring and drift mitigation, cloud-native microservices and deployment, testing and guardrails to reduce hallucinations, ensure compliance, and mentor engineering teams.