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Quantitative Researcher - Intern

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Point72

Aug 16, 2024

Applications are closed

  • Internship
    Full-time
    Off-cycle Internship
  • London

Requirements

  • Undergraduate, MS, or PhD candidates in finance, computer science, mathematics, physics, or other quantitative discipline
  • Programming in any of the following: C++, Java, C#, MATLAB, R, Python, or Perl
  • Strong analytical and quantitative skills
  • Demonstrated interest in financial markets and systematic trading
  • Clear, concise, and proactive communicator
  • Detail-oriented
  • Willing to take ownership of his/her work, working both independently and within a small team

Responsibilities

  • Pre-process (validate, clean, normalize, reduce dimension) very large data sets for model estimation and event studies
  • Identify features and relationships useful for the predictive modeling of market dynamics

FAQs

What qualifications are required for the Quantitative Researcher - Intern position?

Candidates should be undergraduate, MS, or PhD students in finance, computer science, mathematics, physics, or another quantitative discipline.

What programming languages should candidates be proficient in?

Candidates should have programming experience in any of the following: C++, Java, C#, MATLAB, R, Python, or Perl.

Are candidates with no prior experience in financial markets eligible to apply?

While demonstrated interest in financial markets and systematic trading is desirable, candidates without prior experience are still encouraged to apply if they possess strong analytical and quantitative skills.

Is the role primarily independent or does it involve collaboration with a team?

The role involves both independent work and collaboration within a small team, so candidates should be comfortable with both.

What key skills should candidates demonstrate for this position?

Candidates should demonstrate strong analytical and quantitative skills, be detail-oriented, proactive communicators, and willing to take ownership of their work.

What is the focus of the work for this internship?

The internship focuses on applying advanced data modeling and statistical learning methods to market prediction and systematic trading.

Will interns be involved in data processing?

Yes, interns will be responsible for pre-processing very large data sets for model estimation and event studies, including tasks like validation, cleaning, normalization, and dimension reduction.

How important is communication in this role?

Clear, concise, and proactive communication is important for collaboration and successful project execution in this role.

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.