Logo of Huzzle

Off-Cycle Quantitative Researcher Intern

image

Point72

6d ago

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

AI generated summary

  • You should be a Master's or PhD candidate in a quantitative field, skilled in Python, data analysis, and independent research, with a detail-oriented mindset and a commitment to high ethical standards.
  • You will assist with data collection and analysis, adapt statistical techniques, develop new signals, provide research support, and enhance the team's research infrastructure.

Requirements

  • Masters or PhD candidates in finance, economics, mathematics, statistics, physics, computer science, engineering or other quantitative discipline.
  • Demonstrated ability to conduct independent research over large, possibly noisy datasets.
  • Strong analytical and quantitative skills, and detail-oriented mindset.
  • Proficient in Python and quantitative analysis, ideally with a machine learning background.
  • Experience dealing with database languages like SQL, Postgres is a plus.
  • Ability to work both independently and collaboratively within a team.
  • Strong desire to deliver high quality results in a timely fashion.
  • Prior experience in the financial services industry is not required.
  • Commitment to the highest ethical standards.

Responsibilities

  • You will gain exposure to a variety of activities, which may include:
  • Assisting with data collection, preliminary analysis of large data sets, and extraction of useful features for predictive models.
  • Adapting and extending existing statistical forecasting techniques and machine learning algorithms to different asset classes applied to macro strategies.
  • Developing new signals and evaluate their performance characteristics.
  • Providing research assistance to the team.
  • Helping to improve the team's research infrastructure.

FAQs

What is the duration of the internship?

The internship lasts for six months, ideally starting in January 2025.

What educational background is preferred for candidates applying for this internship?

Desirable candidates are typically Masters or PhD candidates in finance, economics, mathematics, statistics, physics, computer science, engineering, or other quantitative disciplines.

What kind of training will the intern receive?

The intern will receive comprehensive training while working closely with the PM team.

What are some key responsibilities of the intern?

Responsibilities include assisting with data collection, analyzing large data sets, adapting statistical forecasting techniques, developing new signals, and providing research assistance to the team.

Is prior experience in the financial services industry required for this position?

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

What technical skills are necessary for this role?

Proficiency in Python and quantitative analysis is necessary, and a background in machine learning is ideal. Experience with database languages like SQL and Postgres is a plus.

What qualities are desirable in a candidate?

Candidates should have strong analytical and quantitative skills, a detail-oriented mindset, the ability to work independently and collaboratively, and a strong desire to deliver high quality results in a timely fashion.

What ethical standards are expected from the intern?

The intern is expected to commit to the highest ethical standards.

Will the internship provide hands-on experience with machine learning?

Yes, the intern may adapt and extend existing machine learning algorithms to different asset classes applied to macro strategies.

Are there opportunities to contribute to the team's research infrastructure?

Yes, the intern will help improve the team's research infrastructure as part of their responsibilities.

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.