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2024 Software Engineer Internship – Long/Short Equities

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Point72

Jul 17

  • Internship
    Full-time
    Off-cycle Internship
  • Software Engineering
  • London
  • Quick Apply

AI generated summary

  • You must be pursuing a quantitative degree, skilled in SQL and Python, interested in Generative AI, and possess strong communication skills with high ethical standards.
  • You will collaborate with a portfolio manager and analysts to apply AI in investment strategies, develop quantitative insights, create supportive tools, and manage Compliance-approved data.

Requirements

  • Pursuit of a bachelor’s or master’s degree in a quantitative discipline (computer science, math, engineering), with an expected graduation date of Autumn/Fall 2025 or later
  • Strong proficiency in SQL and Python (with an emphasis on Pandas, PySpark, etc.)
  • Interest in Generative AI technology
  • Strong verbal and written communication skills
  • Commitment to the highest ethical standards

Responsibilities

  • Working alongside a portfolio manager and team of analysts to explore and implement AI and machine learning applications within the team’s investment strategy
  • Developing quantitative insights to aid the investment team in generating investment ideas
  • Creating tools and infrastructure to support and enhance the team’s quantitative efforts
  • Integrating and processing Compliance-approved data

FAQs

What is the main focus of the 2024 Software Engineer Internship at Point72?

The main focus of the internship is to assist in the Long/Short Equity investment strategy by designing and building data solutions that enable investment professionals to extract insights from large, complex, Compliance-approved data sets.

Where will the internship take place?

The internship will take place at Point72's London office.

How long is the internship program?

The internship program lasts for ten weeks.

What kind of activities will interns be involved in during the internship?

Interns will work alongside a portfolio manager and team of analysts, explore and implement AI and machine learning applications, develop quantitative insights, create tools and infrastructure for quantitative efforts, and integrate and process Compliance-approved data.

What educational background is required for applicants?

Applicants must be pursuing a bachelor’s or master’s degree in a quantitative discipline such as computer science, math, or engineering, with an expected graduation date of Autumn/Fall 2025 or later.

What technical skills are required for this internship?

Strong proficiency in SQL and Python (with an emphasis on Pandas and PySpark) is required.

Is there a particular interest that candidates should have?

Yes, candidates should have an interest in Generative AI technology.

What personal skills are emphasized for potential candidates?

Strong verbal and written communication skills and a commitment to the highest ethical standards are emphasized.

What type of mentorship can interns expect during the program?

Interns will receive close mentorship from investing and technical professionals throughout the internship.

What additional skills will interns develop during the internship?

Interns will develop technical, writing, and presentation skills as part of their learning experience.

What is the overarching goal of Point72 as an asset management firm?

Point72 aims to be the industry’s premier asset manager by delivering superior risk-adjusted returns and adhering to the highest ethical standards while providing opportunities to the brightest talent in the industry.

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.