PhD Quant Researcher: Alpha Signals & ML Trading

eFinancialCareers; Greater London; Presencial; GBP 90 000 - 150 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Competitive compensation

Resumo da oferta

eFinancialCareers is seeking an exceptional Quant Researcher to join a research-driven systematic investment team in London. The role targets candidates with a PhD in quantitative disciplines and strong programming skills to develop signals and systematic strategies across global markets.

You will transform large datasets, backtest ideas, and collaborate with researchers, PMs, and engineers to production. Expect a scholarly environment with extensive datasets and computing resources.

Qualificações

• PhD completed or near completion in a quantitative discipline (Math, Stats, CS, Physics, Engineering, OR related).
• Outstanding academic record from a leading university.
• Strong background in probability, statistics, optimisation, ML, or related quantitative methods.
• Excellent programming skills in Python, C++, Java, or similar language.
• Experience working with large datasets and conducting empirical research.
• Strong analytical and problem-solving abilities.
• Ability to communicate complex concepts to technical and non-technical audiences.
• Demonstrated intellectual curiosity and passion for solving quantitative problems.

Responsabilidades

• Conduct original quantitative research to identify alpha-generating opportunities across global markets.
• Develop predictive models using advanced statistical techniques, ML methods, and data-driven approaches.
• Analyse large, structured and unstructured datasets to uncover patterns and investment signals.
• Design, implement, and evaluate systematic trading strategies through backtesting and validation frameworks.
• Collaborate with researchers, PMs, and engineers to move research ideas into production.
• Improve existing models through ongoing performance analysis, monitoring, and refinement.
• Research and evaluate new datasets, alternative data sources, and novel modelling techniques.
• Build scalable research tools and infrastructure to support strategy development.
• Present research findings to senior stakeholders clearly and concisely.
• Stay at the forefront of statistics, ML, AI, and quantitative finance developments.

Conhecimentos

PhD in quantitative

Python

C++

Machine Learning

Statistics

Formação académica

PhD in quantitative discipline

Ferramentas

Python

C++

Java

Descrição da oferta de emprego

eFinancialCareers is seeking an exceptional Quant Researcher to join a research-driven systematic investment team in London. The role targets candidates with a PhD in quantitative disciplines and strong programming skills to develop signals and systematic strategies across global markets.

You will transform large datasets, backtest ideas, and collaborate with researchers, PMs, and engineers to production. Expect a scholarly environment with extensive datasets and computing resources.