Top Research Jobs in London

Lead marketing efforts for Patient First Digital Solutions and Medical Communications, creating strategic marketing plans to achieve business goals and drive revenue growth.

Lead the development and global rollout of a trading model research framework, integrating it with the production platform, alongside developing tools for system trading strategies.

The Software Engineer will develop remote development capabilities, improve user experiences, implement CI/CD pipelines, and ensure platform security. Ideal for adaptable developers with Kubernetes and Linux expertise.

Design and maintain codebase, tools, and services for training AI models. Write clean, efficient code and optimize distributed systems.

As a Research Engineer in ML, you'll optimize large-scale ML systems, collaborate with Research Scientists, enhance models, and implement algorithms in Python.

Join Qube Research & Technologies as an intern in Infrastructure Engineering, working on high-performance platforms for trading operations and research activities, involving technology and data-driven challenges.

Design and implement AWS deployment strategies, drive CI/CD practices, maintain cloud application monitoring, enhance scalability, and support operational troubleshooting.

Support ETF trading by managing trade capture, reconciliation, settlement, and operational workflows. Collaborate with trading desks to ensure efficiency and accuracy in trading processes.

The UX Research Lead will manage UX research, enable others in the organization to conduct research, partner with various teams, and oversee external contractors. Responsibilities include leading research strategy, conducting hands-on studies, creating toolkits, and supporting future team building.

The Senior Research Analyst will manage media content analysis, deliver insights from data reporting, and support communications measurement for automotive clients, focusing on motorsports.

As a Senior Research Analyst at Cision, you'll analyze media data, create reports, support client analytics, and provide actionable insights for automotive clients, particularly in Motorsports and Formula 1.

Lead strategic GTM projects to enhance commercialization of primary research content, collaborating across teams to optimize messaging and business models.

Conduct original research on blockchain systems, collaborating with engineers, publishing papers, and influencing design decisions based on rigorous analysis.

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.

Join QRT's Global Infrastructure Team to manage and support Windows desktop environments and collaboration technologies for seamless end-user experiences.

The Operations Associate role involves managing corporate actions, reconciling transactions, collaborating with multiple teams, and driving process improvements.

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

The Senior Engineer will design and develop high-performance trading systems, collaborate with team members, mentor others, and optimize system architecture.

Design and support software infrastructure for trading signal research. Collaborate with researchers to optimize trading strategies using advanced algorithms and large datasets.

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

The Operations Associate will support crypto trading operations, handle trade capture and settlement, streamline processes, and collaborate with various teams to enhance workflows.

Lead integration of exchange market data feeds and applications, manage infrastructure provisioning, and coordinate with teams for deployment and compliance.

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

As a Data Scientist, you will collaborate with trading and engineering teams to design data pipelines, onboard datasets, and innovate data extraction methods for investment decisions.

Deliver analytics of trading data, develop reports/tools for risk management, and contribute to portfolio management and strategic analysis.