Top Research Jobs in London

The Product Marketing Lead will position Wise for potential customers, drive adoption through campaigns, and translate customer insights into effective product narratives.

Lead European leveraged finance research team covering high yield and distressed credit. Manage nine analysts, shape coverage strategy, produce timely credit research and actionable investment ideas, oversee restructuring and recovery analysis, set KPIs and best practices, mentor staff, and collaborate with legal, editorial, commercial, and marketing teams to maximize subscriber value.

Partner with XVA trading and counterparty credit risk to design, develop, and deploy quantitative models and analytics for pricing and risk management. Translate business needs into solutions, provide production support, own implementation with Technology, and drive model governance and validation.

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

11-week internship performing quantitative research to develop, backtest, and implement automated trading strategies. Translate mathematical models into code, analyze unconventional data sources, conduct statistical research (ML, time-series, NLP), and collaborate with senior researchers to refine trading signals and monetize models.

Work on research projects addressing security, privacy, and scalable systems. Tasks include engineering, data analysis, protocol design, open-source development, measurement, and implementation using systems languages. Projects may involve AI, distributed systems, privacy, or trusted execution. Interns matched to research directions, expected to communicate results and collaborate with teammates.

Conduct market microstructure research and develop quantitative models for equity algorithmic execution. Analyze large trading datasets, backtest methodologies, run A/B experiments, build analytics and data pipelines, validate production models, and collaborate with technology and client teams to industrialize research and produce client-facing materials.

As a Quantitative Research Analyst Intern, you will model markets, develop algorithms, and conduct statistical analysis to enhance trading strategies.

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.

As a Quantitative Research Analyst, you will develop and test automated trading strategies using statistical techniques and algorithms, conduct research, and analyze data.

Conduct research, statistical analyses, and develop automated trading strategies using large data sets and sophisticated statistical techniques.

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

Committee members will review and approve research requests to access real-world data, ensuring the applications serve the UK public and improve cancer patient outcomes.

Lead execution research and transaction cost analysis to inform algorithm roadmap. Build and govern TCA frameworks, run market-microstructure research and A/B tests, develop pre- and post-trade models, translate findings into production features, and partner with Product, Trading, and Technology while mentoring junior researchers.

Support senior analysts in European Capital Goods equity research by maintaining valuation models and industry databases, producing research reports and thematic pieces, preparing data-driven materials, and communicating insights to institutional clients and internal sales/trading teams.

Lead coverage of the Swedish and Norwegian economies with macroeconomic analysis, produce forecasts, monitor monetary/fiscal/political developments, publish client notes, engage clients, collaborate with research teams, and travel regularly to the Nordic region to market research views.

Contribute to Equity Research reports for Consumer Staples, performing thematic deep-dives, results analysis, financial modeling, and presentations. Communicate with institutional investors, companies, and internal stakeholders, maintain models/databases, collaborate with senior analysts, and monitor sector developments.

Cover Sweden and Norway macroeconomies: produce forecasts, monitor monetary/fiscal/political developments, publish client notes, engage clients, attend calls/conferences, travel to Nordics, and collaborate with FX and rates teams.

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.

Join the Telecoms Equity Research team to build and maintain financial/valuation models and industry databases, write research reports and thematic pieces, communicate insights to institutional clients, and support senior analysts in sector coverage and client engagement.

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.

Lead private company coverage of fintech and payments firms: conduct fundamental research using traditional and alternative data, build models, write and market research notes, advise clients, build industry relationships, and coach junior analysts. Requires fintech/payments domain expertise and advanced data/market tool proficiency.

Design, implement, and maintain systematic trading strategies and investable indices across asset classes. Develop production-grade algorithms, support risk management and hedging, build infrastructure and automation, and collaborate with Structuring, Trading, and Technology teams globally to drive robust, scalable solutions.

Join the Global Commodities Quantitative Trading & Research team to design algorithmic trading and execution strategies, build and maintain pricing and trading tools, implement automated hedging and risk solutions, and collaborate with traders, sales and risk to drive revenue across base metals, bullion, energy, gas and commodity indices.

Develop and deliver AI/ML solutions for securities services and payments: build scalable data architectures, automate processes, create sequential decision-making models for balance sheet and deposit optimization, analyze large datasets, present actionable insights to stakeholders, and collaborate across quant, treasury, CIO, technology and data teams.