Top Research Jobs in London

Lead research and development of Transformer-based and time-series foundation models for systematic trading. Responsibilities include pre-training models from scratch on large-scale financial datasets, designing representations and self-supervised objectives, developing distributed training systems, fine-tuning models for trading applications, studying scaling and regime robustness, and evaluating economic performance through simulations and live-trading metrics.

Build high-performance quantitative trading infrastructure, including market-data, backtesting, simulation, model-serving, execution, and monitoring systems. Develop low-latency C++ services and scalable Python research pipelines, optimize throughput and latency, productionize machine-learning models, and partner with researchers and traders to deploy reliable live trading strategies.

Conduct applied AI research across the LLM lifecycle, including training, inference, agentic systems, evaluation, explainability, and reliability. Build and deploy practical AI systems from prototype to production, develop methods for detecting hallucinations and verifying workflows, and collaborate with researchers and business teams. The role includes documenting findings, presenting to technical and non-technical audiences, contributing to intellectual property, and publishing or presenting research at industry conferences.

Develop and implement pricing models and risk-management strategies for base and precious metals. Maintain quantitative libraries and trading platforms, provide model-related analytical support, and enhance tools used by traders to hedge trades and aggregate positions. Collaborate with trading and sales teams to solve complex challenges, identify opportunities, and deliver thoroughly tested, documented solutions.

Supports regulated in vivo research studies involving mouse and rat care, welfare, handling, injections, recordkeeping, and dataset analysis. Performs approved non-surgical procedures, applies the 3Rs, maintains laboratory standards, and may conduct ELISAs, blood sampling, reagent ordering, and data analysis. The role requires a BSc or equivalent experience, a Home Office Personal License, regulated animal-handling experience, and strong organizational and communication skills.

Lead the strategic research direction for Wise’s Grow business area. Define research priorities, raise research quality and maturity, strengthen research practices, develop researchers, and use customer evidence to influence product strategy and senior decisions. The role combines people leadership with hands-on delivery of strategically important user research, while coordinating priorities across teams and guiding responsible use of AI and emerging tools.

Off-cycle quantitative research intern supporting systematic trading, financial engineering, statistical modeling, portfolio optimization, and derivatives pricing. Responsibilities include developing mathematical models and algorithms, valuing and hedging transactions, conducting alpha research, calibrating models, optimizing pricing, managing portfolio risk, and collaborating with traders, technologists, sales, and risk teams. Candidates gain hands-on global markets experience and may be considered for full-time employment after successful completion.

Supports pharmaceutical drug discovery and development by executing and optimizing peptide and protein characterization assays, developing analytical and quality-control methods, supporting in-vitro research, analyzing datasets, documenting experiments, and addressing Discovery and CMC characterization needs. The role requires wet-lab expertise in peptide or protein research, biological molecule characterization, strong communication, independent prioritization, and careful laboratory recordkeeping.

Nine-week summer internship in J.P. Morgan’s Commercial and Investment Bank Research team. Interns support credit, emerging markets, equity, FX, or macro research by monitoring markets, analyzing companies and complex datasets, modeling financial statements, performing valuation work, assessing news, developing trade ideas, writing research materials, and advising clients. The program includes training, networking, and potential progression to a full-time analyst role.

Develop and validate quantitative models and algorithms for risk and treasury operations. Responsibilities include data analysis, backtesting, model assessment, software and tool enhancement, financial optimization, and collaboration with internal teams. The role involves applying academic quantitative knowledge to banking, financial instruments, and global markets while proposing solutions to complex modeling challenges.

Supports quantitative risk and treasury research by analyzing data, backtesting strategies, maintaining software tools, evaluating model soundness, and developing, validating, and enhancing mathematical models and algorithms for financial applications.

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.

Conduct quantitative research for risk and treasury operations by analyzing data, backtesting strategies, developing and validating mathematical models, assessing model risks, and improving software tools. Collaborate with internal teams to optimize financial solutions across asset classes and instruments while presenting complex quantitative concepts clearly. The role is designed for PhD students and offers practical financial modeling experience with potential full-time opportunities.

Develop and enhance high-performance portfolio construction and quantitative research technology. The role involves full software development lifecycle ownership, designing scalable systems, applying Python or Java expertise, collaborating with technologists and stakeholders, communicating development progress, and contributing to innovation and continuous improvement within a large financial-services engineering team.

Develop and deploy statistical, machine learning, mathematical, and optimization models for Prime Finance. Responsibilities include forecasting borrow rates and demand, optimizing pricing and inventory allocation, researching alpha signals and hedging strategies, building analytics infrastructure, managing model risk, and communicating results to trading, technology, risk, and senior stakeholders. The role also mentors junior researchers and documents methodologies.

Design and run mixed-methods studies measuring legal teams' real AI proficiency; build and validate surveys/interview protocols; analyze usage and outcome data; translate findings into product, onboarding, and enablement recommendations; communicate results via reports, presentations, and dashboards; prioritize future research.

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.

Manages and monitors investigator sites throughout clinical trials, ensuring patient safety, GCP and regulatory compliance, enrollment progress, data quality, investigational product oversight, issue resolution, documentation, and timely site close-out. Collaborates with investigators, study teams, vendors, drug safety units, and site personnel while supporting audits, CAPA activities, database release, and protocol training.

Manages investigator sites for clinical trials from activation through closeout. Conducts onsite and remote monitoring, ensures patient safety and GCP/regulatory compliance, resolves protocol and data issues, oversees investigational product handling, supports recruitment and database release, and coordinates with investigators, vendors, study teams, drug safety, and regulatory stakeholders. The role also supports audits, CAPA remediation, protocol training, and may mentor clinical research associates.

Manages investigator sites for clinical trials from activation through closeout, ensuring patient safety, protocol compliance, quality, regulatory adherence, recruitment progress, data resolution, investigational product oversight, and timely study documentation. Partners with study teams, site personnel, vendors, and safety groups to resolve issues, support audits and inspections, implement corrective actions, and deliver successful global trial execution.

Leads European leveraged finance credit research covering high-yield and distressed credits. Manages nine analysts, directs coverage strategy, restructuring and recovery analysis, and oversees timely research publication with actionable investment ideas. Establishes KPIs and best practices, mentors talent, collaborates with legal, editorial, commercial, and marketing teams, and maintains client and industry relationships. Requires advanced financial modeling, valuation, credit analysis, and team leadership expertise.

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

Design, develop, and deploy software solutions for automated trading systems while collaborating with researchers on technology priorities.

Support global fixed income index research by analyzing large datasets, building quantitative models, managing client projects, maintaining index operations, evaluating performance and market trends, and producing visualizations and reports to inform strategic product decisions.

Build AI/ML-driven analytics and automation for CIB Treasury, Securities Services and Payments. Develop scalable data architecture, automate manual processes, create sequential decision-making tools to optimize net interest income, drive projects end-to-end from prototype to production, present commercial recommendations to stakeholders, and collaborate across Quant Research, Treasury, CIO, Technology and CDAO.