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Quantitative Research Intern

Point72

Job Type

Graduate

Workspace

On Site

About the Role

Role:
We are looking for an exceptional student to join one of our teams as a quantitative research intern. The intern will work closely with the team, receive comprehensive training, and help develop novel signals that may have a real impact.


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 equity and macro strategies.
- Developing new signals and evaluate their performance characteristics.
- Providing research assistance to the team.
- Helping to improve the team's research infrastructure.

Requirements

Desirable Candidates:

  • 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.

  • 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. 

About the Company

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth.

Abstract Futuristic Background

Apply for the 2025 Summer Cohort now!

Application Final Deadline: 31 March 2025 

Have you studied any courses that are fully devoted to the following topics?

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