Off-Cycle Quantitative Research Intern

London

Point72

We invest in Discretionary Long/Short, Macro, and Systematic strategies. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. Join our team to innovate, experiment, and be...

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ROLE

We are looking for an exceptional student to join one of our PM teams as a quantitative research intern for a duration of six months, ideally starting in January 2025. 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 macro strategies.
  • Developing new signals and evaluate their performance characteristics.
  • Providing research assistance to the team.
  • Helping to improve the team's research infrastructure.

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, 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.
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Category: Research Jobs

Tags: Computer Science Economics Engineering Finance Machine Learning Mathematics PhD Physics PostgreSQL Python Research SQL Statistics

Region: Europe
Country: United Kingdom

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