Top Research Jobs in London

The Product Marketing Lead will position Wise for potential customers, drive adoption through campaigns, and translate customer insights into effective product narratives.

As a Quantitative Research Analyst, you will develop and test automated trading strategies using statistical techniques and algorithms, conduct research, and analyze data.

Conduct research, statistical analyses, and develop automated trading strategies using large data sets and sophisticated statistical techniques.

As a Research Scientist, develop new visual generative AI ideas, work on multimodal modelling, and collaborate on hardware-aware AI algorithms and systems.

The Manager of Marketing Solutions develops sponsorship platforms, collaborates with teams, and manages proposals, focusing on brand storytelling and partnerships in sports and entertainment.

Lead European leveraged finance research team covering high yield and distressed credit. Manage nine analysts, shape coverage strategy, produce timely credit research and actionable investment ideas, oversee restructuring and recovery analysis, set KPIs and best practices, mentor staff, and collaborate with legal, editorial, commercial, and marketing teams to maximize subscriber value.

Design, develop, and deploy software solutions for automated trading systems while collaborating with researchers on technology priorities.

Cover mining and gold sectors by producing differentiated, high-conviction investment ideas. Own end-to-end fundamental research, build decision-grade financial models, monitor holdings, and partner with portfolio managers on sizing and portfolio construction. Contribute to team debate, articulate investment arguments, and use AI tools to enhance company and commodity analysis.

Manage and monitor assigned clinical trial investigator sites from activation through closeout to ensure patient safety, protocol compliance, data quality and timely delivery. Serve as primary site contact, perform on-site and remote monitoring, resolve protocol and safety issues, support enrollment and database release, oversee investigational product handling, and collaborate with study team, SCP and vendors to meet study objectives and regulatory standards.

Manage and monitor assigned clinical trial investigator sites from initiation through close-out to ensure patient safety, protocol compliance, data quality, and timely enrollment. Serve as primary site contact, perform onsite and remote monitoring, resolve protocol and data issues, support safety reporting, and contribute to audit/CAPA activities.

Manage and monitor assigned clinical investigator sites from activation through closeout, ensuring patient safety, protocol and GCP compliance, data quality, enrollment support, SAE handling, documentation, site training, issue resolution and audit readiness while liaising with study teams and mentoring junior CRAs.

The role involves developing solutions for AI-generated code post-training, collaborating with a team, and innovating new products with a focus on high-quality coding standards.

Committee members will review and approve research requests to access real-world data, ensuring the applications serve the UK public and improve cancer patient outcomes.

The role involves researching and developing large language models (LLMs) with a focus on transformer architecture, data curation, distributed training, and optimization. Responsibilities include conducting experiments, collaborating with teams, and staying updated on deep learning advancements.

The Research Engineer will advance AI research, implement ML experiments, collaborate with engineers, and publish findings at conferences.

Lead the development and integration of advanced safety systems for scientific AI applications, building a team and establishing a research strategy.

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.

The Junior Risk Manager will produce risk reports, monitor trades, reconcile data, assist in framework development, and liaise with stakeholders.

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

Analyze network and exchange protocols, automate performance metrics, and optimize high-frequency trading infrastructure for improved trading operations.

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.

Build and manage multiple datasets, create automated ETL pipelines, integrate datasets, and ensure data quality for QRT's research and trading platform.

As a Data Scientist at QRT, you will work with data to inform trading decisions, prototype data handling code, and solve data related problems.

As a Front Office Quantitative Developer, you will enhance quant technology for algorithmic trading, collaborating with traders and quants to support 24/7 strategies.