Top Tech Jobs & Startup Jobs in London

Design, develop, and refine end-to-end data models and prototypes for financial planning and analysis. Support cloud data lakehouse solutions, ETL/ELT pipelines, dashboard/cube consumption, and help embed AI/LLM tools into workflows while collaborating with finance, analytics, and technology teams.

Lead technical design and development of AI-native systems for credit pre-trade markets. Build scalable AI platforms, modernize legacy systems, deliver secure production code, partner with trading and product teams, support production operations, evaluate vendors, and drive engineering best practices and communities of practice.

Lead design and build developer-facing platform tooling (IDE experiences, web tools, test infra, SDLC workflows). Drive AI-assisted engineering adoption, implement static analysis, testing, CI/CD, cloud test execution, and governance to improve developer productivity and code quality.

Senior front-end engineer on an agile Equities Sales & Trading team delivering secure, scalable cloud-native applications. Provides technical leadership, writes and reviews production code, drives design decisions, optimizes UI performance for high-frequency data, and advocates firmwide engineering practices and tools.

Lead design, development, and delivery of risk, pricing, trade capture, and commodities operations software. Collaborate with trading, quant, sales, and middle office to produce secure, high-quality production code, provide technical guidance, and drive product and architecture decisions. Promote cross-team collaboration, firmwide engineering practices, and mentor engineers to deliver scalable solutions.

Lead product strategy and roadmap for Global IB Coverage and Global Corporate Banking products. Drive discovery, launches, KPIs, and operational resilience while partnering with engineering, controls, compliance, legal, finance, and GTM teams. Use data-driven insights and emerging technologies like AI to improve product performance and client value.

Lead design, development, testing, release, and production support for Equity Derivatives workflows. Own production outcomes, incident triage, stakeholder communication, UAT, architecture and observability. Drive adoption of AI-assisted engineering practices, maintain release discipline, gather telemetry for stability metrics, and improve system reliability and coding hygiene through cross-functional collaboration.

Lead a technical area driving design, development, and delivery of AI/ML and data platform solutions. Own architecture, governance, and adoption of AI-assisted engineering practices, ensure operational stability, and influence stakeholders while hiring and developing engineering talent.

Lead applied AI/ML efforts to design, build, deploy, and maintain production ML services (NLP/CV focus). Collaborate with engineering, cloud, and SRE teams, research models, ensure MLOps best practices, and document processes for regulatory compliance.

Contribute to Equity Research reports for Consumer Staples, performing thematic deep-dives, results analysis, financial modeling, and presentations. Communicate with institutional investors, companies, and internal stakeholders, maintain models/databases, collaborate with senior analysts, and monitor sector developments.