Top Research Jobs in London

12-week summer internship for PhD students to conduct quantitative research in trading and systematic investing. Work includes analysing large financial datasets, developing and backtesting quantitative models using Python and statistical libraries, validating strategies, maintaining research infrastructure, and presenting findings to senior researchers and trading teams.

Provide client-specific corporate governance research and proxy vote recommendations for institutional investors in Continental Europe. Analyze public company disclosures, help clients develop and implement customized proxy voting guidelines and policy matrices, support client projects and calls, contribute to policy updates, collaborate with technology, sales, and account teams, and produce tailored reports and analyses.

Provide client-specific proxy vote recommendations and rationale based on customized guidelines; gather governance data from public filings; help institutional investors develop and implement proxy voting policies; produce tailored reports and policy gap analyses; support client projects, product/tech enhancements, and cross‑team client engagement, primarily for Continental Europe.

The Product Manager will enhance the Ipsos iris reporting interface, manage collaboration with teams, gather requirements, execute testing, and maintain documentation within an Agile framework while utilizing audience measurement tools.

The Machine Learning Engineer will develop AI systems for optimizing physical technologies, ensure high engineering standards, and push ML research boundaries while collaborating with domain experts.

Join PIMCO's Client Solutions & Analytics team in London to support asset allocation, risk management, ALM, and portfolio analytics. Develop and maintain quantitative models and tools, run risk analytics and scenario analysis, produce thought leadership, and use AI-enabled toolkits to streamline client deliverables while managing multiple projects.

The Research Engineer will research, test, and deploy trading strategies, build research infrastructure, and collaborate on trading ideas while implementing solutions in Python and C++.

As a Research Engineer in Reinforcement Learning, you will develop and optimize RL infrastructure, push boundaries in AI research, and collaborate on scalable systems for large language models.

The AI Research Engineer will develop AI models to enhance product autonomy, analyze extensive data, and deliver impactful solutions, driving innovative product features.

Manage end-to-end delivery of digital content products, primarily curriculum, across writers, designers, engineers, marketers, and subject matter experts. Responsibilities include project scheduling, Agile ceremonies, PI planning, CMS administration, content publishing, QA, cross-platform distribution, stakeholder communication, budget tracking, risk and dependency management, and post-launch optimization. The role ensures content is accurate, accessible, on time, and aligned with organizational goals.

Edit long- and short-form video content for YouTube and social platforms, adding motion graphics, captions, lower thirds, audio adjustments, color grading, and transitions. Organize assets and versions, collaborate with producers and designers, incorporate feedback, meet platform specifications, and deliver files in required formats and aspect ratios. The role also requires creative storytelling, quality assurance, deadline management, and submission of a video reel and editing sample.

Report on the intersection of law and technology across the UK and Europe, producing daily articles and multimedia; cover AI, e-discovery, cybersecurity, data privacy, legaltech startups, M&A, regulations, and major litigation; build sources, analyze datasets for editorial projects, attend conferences, and maintain an active reporter brand on social media.

As an AI Engineer, you'll conduct research on AI agents, develop LLM applications, and design backend infrastructure with strong focus on cognitive systems and agent development.

Build marketing automation, analytics and content systems: consolidate data into dashboards, automate sales materials and content workflows, implement SEO/GEO and lead enrichment, monitor signals, and connect leads to a lightweight CRM. Ship repeatable, automated solutions using code, APIs or no-code tools.

Lead client engagements with investment banks and funds to translate Rogo's AI into financial workflows. Conduct tailored product demos, build consultative relationships, drive pre-sale and upsell, provide customer feedback to product and sales teams, and produce market and competitor analysis focused on equity research and M&A workflows.

Join Research Partnership's Talent Community for future roles in healthcare market research. Candidates will receive updates on job openings and company culture.

As a Software Engineer in the Core AI team, you will design and operate AI model serving infrastructure, build centralised servers, and improve developer experiences through secure, scalable platforms.

The Lead Network Operations Engineer will manage network performance, security, and automation, responding to incidents, and enhancing operational processes through improved observability and efficiency.

As a Senior Marketing Executive, you will enhance supporter loyalty through data-driven campaigns, manage communications, and engage with stakeholders.

As a key member of the Market Access team, you will build market access systems, handle trading gateways, and collaborate with various teams at QRT.

This role involves gathering regulatory requirements, translating them into specifications, improving surveillance processes, and collaborating with engineering teams using SQL and Python.

Create predictive signals by analyzing large datasets, identifying statistical patterns, and discussing methodologies with researchers.

Transform procurement, cloud and infrastructure data into dashboards, forecasts and insights to support capacity planning, supplier management, cost optimisation and investment decisions. Build ETL pipelines, KPI frameworks and automated reporting, partnering with procurement, finance, engineering and operations and presenting findings to senior stakeholders.

You will design and implement low-latency trading systems, optimize system performance, and ensure reliability at scale within the Core Trading Platform team.

This role focuses on maintaining system reliability and performance, implementing automation tools, and collaborating with teams to optimize operations within QRT.