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Quantitative Researcher - Intern

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Point72

Mar 30, 2023

  • Internship
    Full-time
    Off-cycle Internship
  • Research & Development
    Data
  • London, +1

AI generated summary

  • This internship requires candidates with a background in quantitative disciplines, strong analytical and programming skills, a demonstrated interest in financial markets, and the ability to work independently and within a team.
  • The Quantitative Researcher - Intern will handle the pre-processing of large data sets and identify features and relationships to assist with predictive modeling and market analysis at Point72.

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 is the role of a Quantitative Researcher Intern?

The role involves applying advanced data modeling and statistical learning methods to market prediction and systematic trading.

Who is eligible to apply for this internship?

The internship is designed for students and researchers who have a background in advanced data modeling and statistical learning techniques.

What skills are required for this position?

Candidates should have proficiency in data modeling, statistical learning methods, and a strong understanding of quantitative analysis, as these skills will be crucial for market prediction and systematic trading.

Can this internship lead to full-time employment opportunities?

While the internship is primarily an educational experience, high-performing interns may be considered for full-time positions after completion, depending on available openings and performance.

What tools or technologies might I use during the internship?

Interns may work with various data analysis and statistical software tools, programming languages, and frameworks commonly used in quantitative finance, although specific tools may vary by team.

What kind of projects will I be working on?

Projects will likely involve analyzing market data, developing predictive models, and contributing to systematic trading strategies using advanced data modeling techniques.

Is this position remote, in-person, or hybrid?

The specifics regarding the work arrangement (remote, in-person, or hybrid) would typically be detailed in the job posting or discussed during the interview process.

How will my performance be evaluated during the internship?

Performance may be evaluated based on the quality and effectiveness of the analytical models developed, contributions to team projects, as well as collaboration and communication skills demonstrated during the internship.

Will I receive mentorship during this internship?

Yes, interns can expect to receive mentorship and guidance from experienced professionals in the field, which can enhance learning and professional development.

How can I prepare for this internship?

Candidates can prepare by enhancing their knowledge in data modeling and statistical methods, practicing programming skills, and familiarizing themselves with financial markets and 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.