Front-Office Equities Quant Researcher – Signals & Alpha

Point One - Hedge Fund Talent; Greater London; On-site; GBP 90,000 - 150,000; Full time

Job summary

Point One - Hedge Fund Talent in London is seeking an Equities Quantitative Researcher to join a high-performing investment team. The role focuses on research, development and implementation of systematic equity strategies across global markets.

You will work closely with experienced Portfolio Managers to develop predictive models, test signals and enhance the research platform. A strong mathematical background and Python proficiency are essential for success in this front-office role.

Qualifications

• 2–8 years of experience in quantitative research or related buy-side strategy.
• Strong knowledge of statistics, probability, and modelling.
• Advanced Python programming and handling large datasets.

Responsibilities

• Research and develop quantitative signals and alpha factors across global equity markets.
• Analyse large fundamental, market and alternative datasets to identify investable opportunities.
• Design, test and evaluate systematic strategies using robust methodologies.
• Conduct statistical analysis and backtesting to assess signal effectiveness and portfolio impact.
• Collaborate with Portfolio Managers to generate actionable investment insights.
• Develop and enhance research tools, infrastructure and data pipelines.
• Contribute to portfolio construction, risk management and performance attribution.
• Identify new datasets and ML techniques to improve research outcomes.
• Monitor live strategies and investigate performance drivers.
• Collaborate with researchers, developers and investment professionals to improve the process.

Skills

Python

Quantitative research

Statistical modelling

Data analysis

Machine learning

Big data handling

Education

Advanced degree in Mathematics/Statistics/CS/Engineering

Tools

Pandas

NumPy

Backtesting

SQL

Job description

Point One - Hedge Fund Talent in London is seeking an Equities Quantitative Researcher to join a high-performing investment team. The role focuses on research, development and implementation of systematic equity strategies across global markets.

You will work closely with experienced Portfolio Managers to develop predictive models, test signals and enhance the research platform. A strong mathematical background and Python proficiency are essential for success in this front-office role.