Top Research Jobs in London

As a Treasury Data Engineer, you will design and maintain data pipelines, onboard new storage layers, and collaborate with teams to enhance Treasury analytics.

The role involves defining and pursuing a research project in general-purpose world models, collaborating with teams to advance visual AI.

Front-office quantitative role supporting mortgage and ABS trading across European markets. Build and implement mortgage pricing, loan-level cashflow and recovery models, automate pricing/surveillance frameworks, and work closely with portfolio managers on complex non-agency and illiquid securitized assets.

The Quantitative Analyst will analyze trading behavior, collaborate with teams, and improve trading strategies using data and skills in Python and C#. Attention to detail and prioritization are essential for success.

Support design and execution of primary research (surveys, third-party databases), coordinate fieldwork and vendors, conduct preliminary analysis, synthesize findings into charts and presentations, track deliverables and budgets, and maintain research documentation to inform business and strategy decisions.

Design and run adversarial single- and multi-agent environments to find concrete failure modes in LLM agents. Orchestrate large-scale experiments against external APIs and internal models, instrument emergent behaviors, catalogue failures, and translate findings into internal models and public research.

Design and run empirical experiments to find how LLM agents fail in realistic settings; build automated audit agents, fine-tune and run models, perform white-box and black-box investigations, produce evals and publish findings that feed into product guardrails.

Lead strategic, high-sensitivity research recruiting: partner with research leadership to define talent needs, map the research landscape, build long-term candidate relationships, run senior-level searches, advise on positioning and compensation, and establish talent intelligence and recruiting standards.

Lead quantitative research and index methodology design for equity and multi-asset strategies. Drive independent research, translate models into production with Engineering, build analytics and AI-enabled research infrastructure, support client engagements and business development, mentor team members, and contribute to strategic direction and product innovation.

Work across modeling, data, systems, and evaluation to make video foundation models expressive, controllable, and personalized. Build adaptation and personalization pipelines, define end-user quality metrics and evaluations, and collaborate with product and design to deploy production-ready model variants for creative partners.

Develop and benchmark 3D computer vision and localisation systems (SLAM, visual odometry, scene matching, geo-registration, 3D reconstruction). Extend geometric deep learning and feature-matching methods, design experiments and benchmarks, adapt models to hardware constraints, and collaborate with research, engineering, and product teams to deploy robust AI solutions.

Lead end-to-end quantitative survey research for clients: design questionnaires, manage fieldwork and programming, perform data analysis (descriptive and advanced methods), ensure QA, produce reports, and serve as a client-facing partner supporting proposals and project delivery.

Coordinate interviews and scheduling across teams, act as main candidate contact, maintain ATS records, communicate timely with candidates, represent QRT at university events, and support employer branding and recruitment projects.

Partner with Technology leaders to design hiring strategies, advise on compensation and candidate alignment, lead recruitment across tech functions, analyze recruitment metrics, optimize TA processes and interview frameworks, and build long-term talent pipelines via market mapping and proactive sourcing.

Edit and proofread commercial legal content for clarity, accuracy and style; rewrite complex text sensitively; guide authors using Gen AI prompts; craft headlines and tagging; coordinate publication with stakeholders; improve usability and links; create promotional content and review online editions to ensure timely, high-quality publication.

Build, own, and maintain internal benchmark suites for single- and multi-turn content and agentic guardrails; create benchmarks distinguishing model capabilities; extend evals to new verticals and product features; collaborate on research quantifying realistic LLM and agent failure modes; support product integration of core model functionality.

Lead Sparta's research output and voice: set editorial standards, manage publishing cadence, host the podcast and client-facing events, coach commodity analysts, build supply-and-demand fundamentals, and partner with Sales, Marketing and founders to turn research into commercial value.

Provide analytical, operational, and administrative support to the Smart Buys Alliance contribution: conduct literature reviews, data extraction/cleaning, quantitative and textual analysis (including LLMs), draft papers/reports/blogs, track evidence-use initiatives, and support logistics for workshops, meetings, and travel arrangements.

Join the Immunotherapy team to conduct translational and basic science research aimed at improving haematopoietic cell transplant outcomes. Lead projects investigating how allogeneic graft cell composition affects patient outcomes, contributing to experiments, data interpretation, and publication-worthy results.

Own large-scale LLM inference performance: profile, benchmark and optimise inference workloads across GPU architectures; design and implement inference optimisations, reference implementations and tooling; collaborate with researchers and platform teams to deploy efficient, cost-effective NLP solutions.

10-week on-site Data Science internship in London supporting data discovery, enrichment and analysis for quantitative research. Tasks include data blending, statistical analysis, exploratory data analysis, visualization, building tooling, and collaborating with data scientists to scale and automate data processes.

10-week summer ML research internship based in Central London. Work on a supervised research project using advanced ML methods, mentored by senior researchers, with access to large compute, culminating in a final presentation. Top performers considered for full-time roles.

10-week London-based summer research internship applying mathematical modelling, ML/deep learning, optimisation and back-testing to extract predictive signals from financial time-series. Interns complete an independent research project with mentorship, present findings to senior management, and may be considered for full-time roles.

The Research Scientist/Engineer will innovate algorithms for real-time adaptation, optimize ML systems, and ensure impactful product interactions.

Support the European Liquid Credit Research team covering leveraged loans and high-yield bonds. Build and maintain financial models, analyze financial statements and credit terms, perform due diligence and relative-value analysis, prepare credit papers for Investment Committee, and conduct industry and third-party research while collaborating with senior analysts and the U.S. team.