Quantitative Researcher

Point72; London; On-site; GBP 40,000 - 55,000; Full time

Job summary

A leading company in systematic trading, Point72 is seeking a Quantitative Researcher to join their new portfolio management team. The role focuses on innovative research into equities market anomalies. Candidates should have a quantitative degree and strong skills in Python and data science practices, with an opportunity to grow within a dynamic team.

Qualifications

• 0-2 years of professional work experience.
• Interest in financial markets essential.
• Highly motivated, curious, and critical thinker.

Responsibilities

• Perform rigorous research to discover systematic anomalies.
• End-to-end development from ideation to production implementation.
• Identify and evaluate new datasets for stock return prediction.

Skills

Python

Data Science

Feature Engineering

Critical Thinking

Education

MS or PhD in a quantitative discipline

Job description

Join to apply for the Quantitative Researcher role at Point72

Join to apply for the Quantitative Researcher role at Point72

About Cubist

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

About Cubist

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

Role:

A new Cubist portfolio management team specializing in the systematic trading of equities is looking for a Quant Researcher whose core focus will be working on mid-frequency alpha strategies. Joining the team will provide a unique opportunity to be involved with the early stages of a product launch and develop within a growing team.

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
  
  

Requirements:

• MS or PhD in a quantitative discipline
• 0-2 years of professional work experience
• A background in financial markets is not necessary, but an interest in the field is essential
• Proven expertise in Python and handling large datasets
• Fluency in data science practices, e.g., feature engineering. Experience with machine learning is a plus
• Highly motivated, curious, and critical thinker
• Collaborative mindset with strong independent research abilities
• Commitment to the highest ethical standards

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Finance and Sales

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