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Entry-Level Quantitative Researcher

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Point72

Aug 16

  • Job
    Full-time
    Entry Level
  • London

AI generated summary

  • You need a B.S., M.S., or PhD in a quantitative field, programming skills in Python/SQL, strong analytical abilities, detail orientation, and a commitment to ethical standards. No finance experience needed.
  • You will conduct quantitative research, analyze academic findings, manage research processes, test hypotheses, discover alpha signals, develop trading strategies, and build analytical tools.

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.

Responsibilities

  • Responsibilities
  • Conduct original quantitative alpha signal research
  • 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

FAQs

What is the primary focus of the Entry-Level Quantitative Researcher role at Cubist Systematic Strategies?

The primary focus is conducting rigorous quantitative research with an emphasis on predictive models, contributing to the development of systematic trading strategies.

What qualifications are required for this position?

A B.S., M.S., or PhD in finance, economics, mathematics, statistics, data science, computer science, or another quantitative discipline is required.

Is programming experience necessary for this role?

Yes, programming in Python (or a comparable language) and a working knowledge of SQL are required.

Is prior experience in the financial services industry necessary to apply?

No, prior experience in the financial services industry is not required.

What skills are emphasized for candidates applying for this position?

Strong analytical and quantitative skills, attention to detail, the ability to work independently and collaboratively, and a strong desire for delivering high-quality results in a timely fashion are emphasized.

What types of tasks will the Entry-Level Quantitative Researchers be responsible for?

They will 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.

Is there an opportunity for growth in this role?

Yes, successful hires will ultimately become thought leaders within the collaborative research group.

What ethical standards are expected from candidates?

A commitment to the highest ethical standards is expected from all candidates.

Will there be training provided for this position?

Yes, candidates will be trained in all aspects of systematic trading from idea generation to practical trading considerations.

What is the work environment like at Cubist Systematic Strategies?

The work environment is collaborative, with opportunities for independent research, combined with teamwork to drive insights and develop trading strategies.

Finance
Industry
1001-5000
Employees
2014
Founded Year

Mission & Purpose

Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking.