Top Tech Jobs & Startup Jobs in London

Design human-AI interactions and digital experiences for Operations, from concept through production. Partner with Data Science, Technology, and Operations teams to present and explain AI/ML outputs within workflows. Develop accessible, inclusive solutions using information architecture, storyboarding, prototyping, user feedback, research, and data-driven insights across web, mobile, and other platforms.

Leads software engineering strategy and delivery for commodities exotics trading technology. Owns desk workflow roadmaps, end-to-end trade lifecycle systems, engineering standards, production readiness, observability, security, testing, incident response, and cross-team releases. Partners with traders, quants, business leaders, and operations while building high-performing teams. Drives enterprise adoption of governed agentic AI engineering and SDLC automation, including responsible AI controls, resilience, measurement, and secure reuse.

Develop and enhance high-performance portfolio construction and quantitative research technology. The role involves full software development lifecycle ownership, designing scalable systems, applying Python or Java expertise, collaborating with technologists and stakeholders, communicating development progress, and contributing to innovation and continuous improvement within a large financial-services engineering team.

Lead and scale a global HR Analytics Advisor team that partners with executives and HR leaders to turn workforce data into actionable decisions. Responsibilities include proactive and ad hoc analytics, executive storytelling, workforce risk and talent insights, HR process integration, self-service reporting, predictive modeling, data governance, and defining advisory operating models and success metrics.

Leads technology center programs, events, and initiatives supporting operational excellence and community engagement. Coordinates leadership forums, calendars, budgets, communications, metrics, volunteer participation, and issue resolution. Prepares executive presentations and status reports, manages multiple workstreams, and standardizes processes and templates. Partners with technology center leaders and pillar leads across regions to execute strategic priorities and improve program consistency.

Manage end-to-end leveraged loan transactions: review and negotiate syndicated facility and ancillary legal documentation, liaise with clients, internal stakeholders and external counsel, oversee deal-closing, enforce controls, and drive process-improvement initiatives.

Lead cross-pillar program governance and execution for Risk Technology. Define program frameworks, drive delivery, manage dependencies, surface and mitigate risks, and promote AI-assisted, data-driven governance and continuous improvement across engineering and corporate technology stakeholders.

Lead technical contributor on the ETF Technology team delivering secure, scalable Java/Oracle applications. Design, develop, test, and support production systems; partner with product, portfolio management, and platform teams; drive operational stability, automation, and adoption of enterprise AI-assisted engineering practices.

Supports strategy, governance, roadmap development, commercialization, and operational execution for J.P. Morgan’s EMEA Account Solutions portfolio. Partners with product, finance, treasury, operations, technology, legal, compliance, risk, sales, and implementation teams. Defines requirements and customer journeys, coordinates strategic initiatives, analyzes product and market data, prepares executive communications, maintains risk controls, and supports regulatory changes and client-focused product enhancements.

Lead the design and development of production-grade agentic AI applications for Markets Operations. Build reusable AI architecture patterns, orchestration frameworks, context management, evaluation pipelines, guardrails, APIs, infrastructure, and monitoring. Partner with researchers, engineers, data scientists, and operations stakeholders to deliver secure, reliable, compliant AI solutions. Drive continuous improvement, document technical decisions, influence architecture, and mentor engineers.