Entry-Level Quantitative Researcher

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

Job summary

A leading quantitative trading firm seeks an Entry-Level Quantitative Researcher to join their team in London. In this role, you will conduct detailed research and analysis to support trading strategies, requiring strong academic qualifications and programming skills. As a part of a collaborative research group, you will gain comprehensive training in systematic trading and contribute to innovative financial models and tools.

Qualifications

• Expected degrees in quantitative disciplines like finance, economics, or data science.
• Strong analytical and quantitative skills required.
• Ability to work collaboratively and independently.

Responsibilities

• Conduct rigorous quantitative research with predictive models.
• Manage the research process, including data analysis and hypothesis testing.
• Build analytical tools for shared research framework.

Skills

Analytical skills

Quantitative skills

Programming in Python

SQL knowledge

Education

B.S., M.S. or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline

Job description

Entry-Level Quantitative Researcher, London

Client:

Point72

Location:

London, United Kingdom

Job Category:

Other

Online job hunting tools

-

EU work permit required:

Yes

Job Reference:

0a8db01bc317

Job Views:

7

Posted:

02.06.2025

Expiry Date:

17.07.2025

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.

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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.

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Created on 02/06/2025 by TN United Kingdom