Entry-Level Quantitative Researcher

Point72; London; On-site; GBP 40,000 - 60,000; Full time

Job summary

A financial services firm in London is looking for an Entry-Level Quantitative Researcher to conduct quantitative research and develop predictive models. This role involves rigorous analysis and offers training in systematic trading. Ideal candidates will have a degree in a quantitative discipline and strong programming skills, along with a commitment to delivering high-quality results.

Qualifications

• Degree in finance, economics, mathematics, statistics, data science, or computer science.
• Strong analytical and quantitative skills.
• Ability to work independently and collaboratively.

Responsibilities

• Conduct rigorous quantitative research and build predictive models.
• Manage research processes including idea generation and data analysis.
• Analyze academic research for market anomalies.

Skills

Programming in Python

Strong analytical skills

Detail-oriented

Education

B.S., M.S. or PhD in quantitative discipline

Tools

SQL

Job description

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Entry-Level Quantitative Researcher, London

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Client:

Point72

Location:

London, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

2b2edfa1c8cb

Job Views:

25

Posted:

12.08.2025

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Job Description:

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

Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative research with a focus on predictive models. You will be trained in all aspects of systematic trading from idea generation all the way to practical trading considerations. Successful hires will ultimately become thought leaders within our collaborative research group.

Responsibilities

• Follow, digest and analyze the latest academic research
• Manage all aspects of the research process, including idea generation, data analysis, hypothesis development and testing, alpha discovery, trading strategy generation, backtesting and portfolio analysis
• Build analytical tools to supplement our shared research framework

Requirements

• B.S., M.S. or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline.
• Programming in Python (or comparable language) and working knowledge of SQL
• Strong analytical and quantitative skills.
• Willingness to take ownership of his/her work.
• Ability to work both independently and collaboratively within a team.
• Strong desire to deliver high quality results in a timely fashion.
• Detail-oriented.
• Prior experience in the financial services industry is not required.
• A commitment to the highest ethical standards.