PhD Quant Researcher: Signals & Systematic Trading

eFinancialCareers; Royal Borough of Greenwich; On-site; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Collaborative env

Large datasets

Incentives

Career growth

Learning opportunities

Competitive pay

Job summary

eFinancialCareers is seeking an exceptional Quant Researcher to join a collaborative, research-driven systematic investment team. The role suits candidates nearing or with a PhD in quantitative fields and requires strong programming in Python/C++/Java.

You will develop predictive signals and systematic strategies across global markets, leveraging large datasets and advanced analytics. You will work with researchers, PMs, and engineers to productionize ideas, backtest rigorously, and continuously

Qualifications

• PhD completed or near completion in a quantitative discipline.
• 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.
• Experience with large datasets and 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 quantitative problems.

Responsibilities

• 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 signals.
• Design, implement, and evaluate systematic trading strategies with backtesting and validation.
• Collaborate with researchers, PMs, and engineers to move ideas into production.
• Improve models through ongoing performance analysis and refinement.
• Research and evaluate new datasets and modelling techniques.
• Build scalable research tools and infrastructure for strategy development.
• Present research findings to senior stakeholders clearly.
• Stay at the forefront of statistics, ML, AI, and quantitative finance.

Skills

Python

C++

Java

Machine learning

Statistics

Data analysis

Communication

Education

PhD in Mathematics/Statistics/CS/Physics/Engineering/ML/OR

Tools

Distributed computing

Cloud/data processing

Backtesting frameworks

Job description

eFinancialCareers is seeking an exceptional Quant Researcher to join a collaborative, research-driven systematic investment team. The role suits candidates nearing or with a PhD in quantitative fields and requires strong programming in Python/C++/Java.

You will develop predictive signals and systematic strategies across global markets, leveraging large datasets and advanced analytics. You will work with researchers, PMs, and engineers to productionize ideas, backtest rigorously, and continuously