Top Tech Jobs & Startup Jobs in London

Analyze market-moving corporate events, public company news, regulatory filings, and investor materials. Produce accurate summaries, auditable calculations, scenario analyses, and concise research notes for professional audiences. Validate internal tools and workflows, identify errors and missing assumptions, and help improve research processes, templates, and data quality. The role requires strong analytical judgment, quantitative fluency, attention to detail, and a strong interest in financial markets.

Build and maintain backend data and software systems supporting event-driven investment products. Improve the speed and reliability of production models, develop infrastructure and internal tooling, and collaborate across teams. The role requires Python development, microservice architecture, REST APIs, and database experience, with opportunities to contribute to client-facing products and take on increasing ownership.

Ten-week internship combining financial research, client-facing support, and software engineering. Responsibilities include debugging Python, developing REST APIs and data pipelines, building Python libraries, deploying infrastructure and production code, monitoring systems, testing bespoke client solutions, supporting research functionality, clarifying requirements, and presenting product progress to stakeholders. The role requires independent problem-solving, cross-functional communication, and an entrepreneurial approach in a fast-paced capital-markets technology startup.

Analyze market-moving corporate events, public company news, regulatory filings, and investor materials. Validate automated model outputs, write research reports and content notes, communicate findings to clients, and improve research processes and data quality. The role requires strong finance and capital markets interest, analytical thinking, attention to detail, clear communication, and the ability to work under time pressure with incomplete information.

Analyze market-moving corporate events, public company news, regulatory filings, and investor materials. Validate automated model outputs, write research reports, communicate findings to clients, and improve research processes and data quality. The role requires finance and capital markets interest, Python and Excel experience, strong analytical and written communication skills, attention to detail, and the ability to prioritize effectively under time pressure.

Own Intropic’s security stack across AWS and GCP cloud infrastructure, endpoints, detection and response, threat modeling, CI/CD security, SaaS integrations, AI agent security, patching, SOC 2, penetration testing, security policies, IT access, and endpoint management. The role combines hands-on security engineering with GRC and IT responsibilities, including out-of-hours incident response and automation.

Provide commercial legal support across customer and supplier agreements, negotiate and draft master agreements, data licenses, NDAs; develop AI-augmented contracting playbooks; enable sales self-service; handle complex, high-impact deals alongside the General Counsel and feed learnings back into templates and tooling.

10-week on-site internship combining quantitative research and engineering: build Python systems, data pipelines, APIs, and production-ready tools to analyse large financial datasets, implement and operationalise models, deploy and maintain systems (cloud, CI/CD), and deliver a meaningful project while collaborating with researchers, engineers and stakeholders.

10-week internship developing client-facing solutions, financial research, and technical systems. Tasks include debugging Python, deploying infrastructure, building REST APIs and data pipelines, shipping production-quality code, supporting clients, testing bespoke workflows, and liaising between clients, product, and engineering to drive product enhancements.

Design, build, and maintain cloud-native backend services for index data processing. Write production-ready Python, deploy and operate services on AWS, use Infrastructure as Code, and monitor/debug systems with observability tools like Prometheus and Loki. Collaborate with product, research, and engineering teams.