Quant Researcher, Mid-Frequency Equity Alpha

Point72; England; On-site; GBP 90,000 - 130,000; Full time

Job summary

Cubist Systematic Strategies, an affiliate of Point72, is seeking a Quant Researcher to focus on mid-frequency alpha strategies in equities. The role involves joining a portfolio management team and contributing to early product development within a growing team.

You will perform rigorous research, develop end-to-end processes from idea generation to production, and explore new datasets for stock return prediction while collaborating across teams.

Qualifications

• MS or PhD in a quantitative discipline.
• Proven expertise in Python and handling large datasets.
• Fluency in data science practices, e.g., feature engineering.
• Experience with machine learning is a plus.

Responsibilities

• Perform rigorous and innovative research to discover systematic anomalies in the equities market.
• End-to-end development, including alpha idea generation, data processing, strategy backtesting, optimization, and production implementation.
• Identify and evaluate new datasets for stock return prediction.
• Maintain and improve portfolio trading in a production environment.
• Contribute to the analysis framework for scalable research.

Skills

Python

Data science practices

Feature engineering

Machine learning

Education

MS in a quantitative discipline

PhD in a quantitative discipline

Job description

Cubist Systematic Strategies, an affiliate of Point72, is seeking a Quant Researcher to focus on mid-frequency alpha strategies in equities. The role involves joining a portfolio management team and contributing to early product development within a growing team.

You will perform rigorous research, develop end-to-end processes from idea generation to production, and explore new datasets for stock return prediction while collaborating across teams.