Top Research Jobs in London

Conduct quantitative research for systematic trading and financial markets. Develop mathematical models, algorithms, and infrastructure to price, hedge, and trade financial products. Perform alpha research, model calibration, portfolio optimization, and risk management while collaborating with traders, technologists, sales, marketing, and risk teams. Translate research into trading applications and communicate findings clearly. The program includes hands-on training and may lead to full-time employment.

Develop, test, and deploy software solutions for automated trading systems in partnership with Quantitative Researchers. Implement high-performance, scalable systems using advanced quantitative techniques, distributed computing, ML/NLP, and strong software engineering practices. Collaborate on priorities, deliver custom solutions, and engage with senior team members during an 11-week internship.

Develop and improve quantitative models for investment strategies, conduct statistical analysis, and implement trading models. Requires strong analytical skills and relevant degree.

Leads experience research for infrastructure platform products and processes. Identifies research opportunities, plans and conducts qualitative and quantitative studies, analyzes findings, maps user journeys, and provides actionable recommendations. Partners with product managers, engineers, architects, and UX designers to improve customer experiences and research practices. Mentors junior UX practitioners, leads design-thinking exercises, communicates research value, and supports data-driven product strategy.

Research and develop AI-powered audio source separation and extraction algorithms for speech and real-world sounds. Train and evaluate PyTorch models using microphone arrays, spatial cues, and auxiliary sensors; address noise, reverberation, overlapping speakers, latency, memory, and computational constraints. Collaborate with DSP and embedded software teams to deploy real-time models on physical devices, and contribute to patents and research publications.

Develops quantitative trading, pricing, hedging, risk-management, and execution strategies for global commodities markets. Builds and maintains Java and Python applications supporting algorithmic pricing, automated trading, market data, and order execution. Collaborates with traders, risk managers, sales teams, and international business partners to identify revenue opportunities, expand e-commerce capabilities, and ensure compliance with firm policies and regulations.

The Quantitative Research Analyst Intern will develop models, implement trading strategies, and conduct statistical analysis during an 11-week program.

Research and develop novel AI-powered audio understanding algorithms, including sound event detection, localization, acoustic scene analysis, anomaly detection, and multimodal context understanding. Build datasets, pipelines, evaluation protocols, and real-time prototypes for embedded devices. Collaborate with machine learning, DSP, psychoacoustics, and software engineering teams to integrate models into product platforms and contribute to publications or patents.

Develop agentic workflows that automate audio ML experimentation, including data preparation, training, evaluation, benchmarking, regression testing, reporting, and reproducible execution. Build tooling for GPU scheduling, experiment tracking, artifact management, and resource monitoring across on-premises and cloud infrastructure. Partner with audio researchers to create reliable, observable systems and dashboards for real-time audio AI development.

Develops top-down and bottom-up investment views on EMEA emerging-market local rates, including bonds and swaps. Analyzes macroeconomic and technical drivers, builds FX and rates models, generates trade ideas, and communicates recommendations through research reports, webinars, roadshows, and conferences. Collaborates with strategists, economists, sales, trading teams, and global emerging-markets researchers while supporting UK-regulated activities.

Research emerging attack surfaces, vulnerabilities, malware, and software supply-chain threats. Build AI-powered research and detection workflows, maintain cloud-based security systems, improve vulnerability and malware advisories, responsibly disclose findings, publish technical content, present at conferences, and support team operations. The role combines security research, software development, cloud engineering, adversarial analysis, and AI agent development.

Develop AI/ML-driven analytics, automation, data architectures, and sequential decision-making tools for Securities Services. Responsibilities span data processing, quantitative modeling, prototype-to-production development, balance-sheet and deposit optimization, visualization, and stakeholder presentations. The role collaborates with Quantitative Research, Technology, and data teams to solve complex commercial problems using machine learning, large language models, and cloud or HPC environments.

Conduct research on AI compute, machine learning algorithms, large language models, efficient inference, numerics, world models, molecule generation, or model safety. Implement models and algorithms in Python or C++, design and analyze experiments using frameworks such as PyTorch, and communicate findings through technical presentations or research papers under experienced mentorship.

Designs and maintains production-grade algorithmic trading systems and execution platforms for systematic Rates markets. Translates quantitative research into scalable strategies, collaborates with traders and researchers on models, hedging, risk, and allocation, and optimizes latency and throughput. The role also emphasizes automated deployments, observability, production support, documentation, and continuous improvement of live trading infrastructure.

Leads video production projects from concept through delivery, including creative ideation, storyboarding, directing, cinematography, editing, color grading, motion graphics, and client revisions. Collaborates with producers, account managers, and animators while managing equipment, shoot logistics, deadlines, and small crews. The role requires expert-level ability in either editing or cinematography, strong competence in the other, and occasional work outside regular hours.

Develop and maintain genomics and Life Sciences tools, pipelines, and analytics for large-scale biological datasets. Implement robust, tested algorithms, run scientific analyses, contribute code to shared platforms, and communicate findings through presentations and publications. Senior-level employees additionally lead cross-disciplinary projects and coordinate integrated updates across tools.

Evaluate and benchmark LLMs for automated scoring, develop and fine-tune scoring models, and assess their accuracy, reliability, fairness, and robustness. Compare AI outputs with expert judgment, calibrate psychometric models, analyze bias across demographic groups, and model relationships between assessment scores and job performance. Communicate findings through reports, papers, presentations, and recommendations for technical and business stakeholders.

Lead new-business sales to hedge funds, winning new clients and expanding relationships across existing fund teams. Build a pipeline through networks, events, and meetings; manage sales cycles through enterprise agreements; collaborate with the founder on pricing and positioning; and provide market feedback to improve the company’s offering. Success is measured by new logos, new teams, and revenue quota attainment.

Conduct research on energy-efficient and trustworthy AI hardware using neuromorphic and in-memory computing. Design, implement, and validate accelerator prototypes, algorithms, architectures, and hardware-software co-design methods. Characterize emerging memory devices, integrate FPGA-based systems, publish research, mentor students, collaborate with academic and industry partners, and support technical reporting, proposals, and dissemination.

Analyze large-scale post-trade data to review and refine client trading behaviour, implement performant C# production code, collaborate with research, engineering and front office, monitor real-world changes, and deliver medium-term strategic projects and urgent commercial improvements.

Leads brand and communications research strategy, translating qualitative and quantitative evidence into actionable insights for senior leaders and the Board. Manages research teams, portfolio governance, budgets, resources, risks, methodologies, tools, and strategic suppliers. Develops measurement capabilities to reflect changing marketing activity, customer behavior, media, technology, and market conditions.

Develop and implement pricing, risk, and quantitative trading models for EMEA rates exotics. Partner with trading, technology, and model risk teams to translate product ideas into production-ready solutions, automate workflows, analyze market data, document models, and support governance approval. The role also sets technical direction, coordinates business priorities, maintains strong risk controls, and mentors junior quantitative professionals.

Conduct qualitative opinion research through focus groups and immersive projects, both online and in person. Responsibilities include moderating research, recruiting participants, planning projects, assisting with research design, writing discussion guides, analyzing conversations, preparing concise reports, conducting policy desk research, and supporting polling, communications, and events. The role involves significant UK travel, potential international travel, and collaboration across varied projects.

Manage and co-manage emerging-market fixed-income funds and institutional mandates, focusing on Latin American public issuers. Lead credit research, generate investment ideas, construct portfolios, manage risk, execute trades, and ensure regulatory compliance. Represent fixed-income strategies with clients and distributors across Latin America and Iberia, supporting business development, asset growth, and franchise positioning. Mentor colleagues and serve as a subject-matter expert across the organization.

Conduct commercially oriented AI/ML research across areas such as synthetic data, foundation models, reinforcement learning, multimodal AI, multi-agent systems, formal reasoning, and privacy-preserving machine learning. Formulate research problems, develop algorithms and models, run experiments, evaluate results, write high-quality Python code, communicate findings, and contribute to production-scale financial services applications.