Top Research Jobs in London

The Director of Research & Insights will lead Flagright's research agenda, produce high-quality thought leadership content, and synthesize complex information into actionable insights on financial crime and compliance.

The Technology Research Analyst will conduct research on technologies, author reports, engage with stakeholders, and support business development activities.

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 AI/ML Quantitative Research Manager leads research efforts in quantitative strategies, develops AI/ML models for trading signals, and collaborates with internal teams to enhance trading systems.

The role involves converting Python research models into C++ for high-performance trading systems, backtesting, and collaborating with research teams to enhance trading strategies.

Role involves monetising alpha through execution strategies in futures markets, developing execution logic, collaborating on research, and monitoring strategies' performance.

This internship focuses on research in programming languages and compilers, particularly OCaml. Interns will work on compiler projects, improving performance and usability, collaborating with mentors over 10-12 weeks.

As a Quant Developer, you will enhance the research framework and support quantitative research teams, optimizing trading tools and systems.

As a Quant Developer, improve research frameworks, develop tools for trading strategies, and support the quantitative research team on-site.

The Research Scientist Manager will lead a global team in foundational machine learning research, focusing on advanced algorithms and AI systems, mentoring team members, and participating in the entire research lifecycle including coding and experimentation.

Lead teams in foundational AI research, focusing on ML and NLP development. Innovate and share technical findings in AI model training, collaborating with global experts.

Develop systems that enhance high-performance trading platforms, focusing on workload distribution and real-time support for quantitative researchers.

As a Performance Engineering Manager, you'll lead the Compute Performance Engineering team, optimizing large-scale workloads across Linux HPC and Kubernetes. Responsibilities include strategy development, team leadership, profiling workloads, and enhancing compute infrastructure for better performance.

The job involves designing and managing automated identity and access management processes, implementing integrations, and ensuring security compliance. Responsibilities include lifecycle management, application integration, platform enhancement, and continuous improvement of IAM capabilities.

The role involves managing and improving the Network Infrastructure team's documentation and process library, ensuring clarity and consistency in workflows.

The role involves developing a derivatives pricing library, collaborating with traders and supporting model integration into pricing systems.

Join the Motivation and Social Neuroscience lab to collect and analyse behavioural and neuroimaging (fMRI/MEG) data, run large-scale online studies, contribute to manuscripts and presentations, develop/adapt methods and models, supervise/guide assisting staff or students, handle research-related administration, and collaborate with national and international partners while promoting equality and inclusion.

Lead and deliver high-value life sciences consulting projects, win new business, develop teams, run complex workshops, provide strategic recommendations, and engage externally to drive client impact and firm growth.

As a Consultant, you will lead client projects, drive business development, guide teams, and partner with clients to enhance healthcare solutions.

The Manager will lead business development, deliver complex projects, manage consulting teams, ensure client satisfaction, and drive innovation in life sciences consulting.

Design, implement, and optimize a low-latency high-frequency trading platform for cryptocurrency markets; collect market data, disseminate orders, analyze throughput/latency, build performance tools, and develop access to historical data and simulation systems.

Maintain, support, and improve the firm's low-latency Linux trading infrastructure and cloud environments. Automate provisioning, configuration, and monitoring across thousands of servers, manage core services (DHCP, LDAP, DNS, NFS), tune AWS for high-performance trading, participate in cloud design reviews, and provide 24/7 operational support including on-call rotations.

As a Marketing Operations & Data Research Apprentice, you will conduct data research, support CRM operations, enhance data quality, and assist marketing efforts.

As an AI Engineer, you will develop and maintain AI platforms and SDKs, deliver workflows for research, define best practices, and embed in business teams to explore new AI opportunities.

As a Software Engineer, you'll transform systems, design high-performance distributed systems, and contribute to engineering growth and success.