Top Tech Jobs & Startup Jobs in London

Leads multiple engineering teams supporting J.P. Morgan Personal Investing’s investment platform. Defines technical strategy, drives product roadmap execution, oversees architecture, reliability, security, costs, vendors, incident management, and regulatory controls. Builds and mentors engineering managers and senior engineers while scaling teams and processes. The role also governs responsible agentic AI adoption across engineering workflows, including validation, auditability, security, and automation.

Supports OTC derivative pricing, XVA and capital analysis for hedge fund counterparties. Responsibilities include trade-level margin analytics, collateral and ISDA/CSA workflows, risk-limit monitoring, stress and scenario analysis, deal execution support, and documentation. The role partners with Sales, Trading, Risk, Operations, Quantitative Research, and Technology to improve exposure and margin analytics tools. Strong quantitative skills, advanced Excel, Python, and familiarity with derivatives, counterparty credit exposure, funding, and margin concepts are required.

Leads complex technology programs and data platform initiatives, managing project plans, CI/CD delivery, risks, budgets, resources, governance, and executive reporting. Partners with engineering, product, architecture, data science, and business stakeholders to deliver scalable, secure, resilient platforms. Applies analytical reasoning, agile practices, AI-assisted program governance, and data-driven optimization within a regulated financial services environment.

Leads development and operation of secure, high-performance Java trading systems. Designs latency-sensitive distributed services, APIs, integration strategies, resiliency, observability, and automation. Oversees architecture, coding, testing, incident response, production stability, and SDLC security. Guides AI-assisted engineering practices, mentors developers, and coordinates technical planning and delivery across globally distributed teams.

Own EMEA payments marketing strategy focused on corporates and fintechs. Build integrated, full-funnel growth campaigns; develop positioning, messaging, client assets, and sales enablement; manage stakeholders, agencies, and vendors; establish KPIs; and optimize targeting, channels, and performance through data-driven insights. Partner closely with product, sales, coverage, country, and global marketing teams to drive demand, client penetration, and revenue growth.

Leads site reliability engineering for market risk technology services, defining reliability requirements, availability targets, observability strategies, and service-level objectives. Designs resilient systems, debugs complex platform dependencies, automates operational improvements, and promotes safe AI-assisted reliability workflows. Mentors engineers, champions SRE adoption, contributes to engineering communities, and guides production readiness, testing, monitoring, security, auditability, and operational decision-making.

Leads software engineering for secure, scalable banking technology products. Provides technical guidance, develops and reviews production code, drives system design and operational stability, and serves as a subject matter expert. Establishes responsible AI-assisted engineering practices, validation standards, automation, and software development lifecycle governance. Requires advanced programming, cloud-native experience, independent problem-solving, and leadership across engineering teams.

Leads regional Payments Sales business management across Western Europe. Sets strategy, manages performance frameworks, forecasting, pipeline governance, executive reporting, financial insights, risk controls, and cross-functional growth initiatives. Partners with Sales, Product, Banking, Coverage, Technology, and other stakeholders to improve client outcomes, profitability, execution, data quality, and operational efficiency.

Build scalable LLM-powered investment tools and AI workflows, including RAG, context management, data pipelines, model integrations, evaluation, and observability. Partner with investment and research teams to translate financial processes into secure enterprise solutions. Apply machine learning, statistical methods, Python, SQL, and financial-market knowledge in a regulated environment while optimizing AI quality, cost, latency, reliability, and business impact.

Leads complex technology programs within Electronic Trading Services, managing project plans, resources, budgets, risks, stakeholders, and delivery timelines. Partners with engineering, product, and business teams to align initiatives with organizational goals. Applies agile practices, analytical reasoning, and enterprise-authorized AI tools to improve planning, governance, reporting, and risk management while validating AI-generated outputs and protecting sensitive data.