Top Research Jobs in London

Join QRT as an FPGA Engineer to develop RTL for high-frequency trading systems, optimizing performance and collaborating with trading teams.

Develop and optimize performance-critical C++ systems for trading and market data, collaborating with FPGA engineers and focusing on low-latency architecture.

The Quantitative Research Manager leads research to improve trading systems, develop new trading signals, and manage an alpha generating portfolio. Responsibilities include collaborative team research and effective communication across departments.

The Quantitative Researcher will create predictive signals, analyze data patterns, and implement models within a global execution platform, leading the entire research strategy cycle.

This role provides operational and administrative support for Global Outreach Research and Investigator Sponsored Trials, managing study-related activities, compliance, and relationships with stakeholders.

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

The Lead Applied Scientist drives AI innovation in information retrieval and natural language processing products, collaborating with teams to deliver research solutions that align with business goals.

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.

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

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.

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

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

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

The SRE will automate operations, improve service health using SRE principles, enhance system resilience, and collaborate across teams.

Develop and enhance core technology for systematic trading, including front-office systems and automation of trading strategies. Collaborate with traders and quants.

Develop and maintain HPC platforms, optimize workload scheduling, improve performance, and support team development in a collaborative environment.

As a Research Scientist, you will develop machine learning models for engineering challenges, collaborate with teams, and mentor peers. You will also communicate your findings with various stakeholders and write for academic and industry audiences.

As a Machine Learning Software Engineer, you'll develop scalable models with ML techniques, collaborate with researchers and engineers, implement distributed training, and mentor junior colleagues.

As a Research Scientist in Fusion at Google DeepMind, you will leverage AI and computational techniques to advance fusion energy research and collaborate with interdisciplinary teams on experiments and data-driven predictive modeling.

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

As a Research Intern, you will assist in editorial tasks, fact-checking, and preparing materials for The Week while collaborating in a hybrid team environment.

Lead the AI safety research team at Faculty, focusing on large language models, driving research initiatives, external publications, and effective mentoring of researchers for trustworthy AI development.