THE OPPORTUNITY

2026 Summer Internship – Data Engineer, Long/Short Equities

Company:

Unknown Company

Location:

London

About the Job

A Career in Long/Short Equities at Point72

Long/Short Equity is Point72’s core investment strategy, and its success depends upon our sector-based investing teams comprised of portfolio managers and research analysts. As an ever-increasing amount of data is applied to the fundamental equity strategies, we are seeking a dedicated data engineer intern to help design and build solutions that enable investment professionals to extract insights from large, complex, Compliance-approved structured and unstructured data sets.

Over your 10-week internship in our London office, you will gain exposure to a variety of activities, which may include:

  • Developing and supporting data processing pipelines including but not limited to ingestion, transformation, and end-customer delivery
  • Working closely with investment professionals, researchers, and data scientists to design, build, launch, and maintain robust end-to-end data pipelines and tools that help extract the most value out of our data assets
  • Building out cloud-based infrastructure using distributed techniques for other data engineers, data scientists, and researchers
  • Creating and supporting visualisation and exploration capabilities around our big data sets

What Excites You

  • Transforming large unstructured data sets into valuable investment research inputs
  • Applying quantitative methods to deliver key insights
  • Learning and working with industry-leading cloud-computing technologies
  • Working as part of a cross-functional team of technologists, investment professionals, and researchers in close partnership with Compliance

What Excites Us

  • Great communicators who are approachable and responsive
  • Excellent attention to detail, organisation, and task management
  • An aptitude for solving complex problems
  • Strong team players who collaborate with ease, take accountability, and contribute to a thriving firm culture
  • People who take ownership, are proactive, and get the job done

Summer Internship Program at Point72

In addition to the learning and development you’ll receive in your day-to-day role with your team, as a part of our summer internship program you will:

  • Receive close mentorship from investing and technical professionals
  • Attend sessions with senior leaders discussing their expertise and career paths
  • Get hands-on access to the wealth of tools and resources that Point72 employees use every day
  • Gain exposure to groups and functions with unique responsibilities and perspectives on our industry
  • Develop technical, writing, and presentation skills

What's required

  • Pursuit of a bachelor’s or master’s degree in a quantitative discipline (computer science, maths, engineering), with an expected graduation date of Spring 2027 or later
  • Strong proficiency in SQL and Python (with an emphasis on Pandas, PySpark, etc.)
  • Excel skills and visualisation skills are preferred
  • Excellent attention to detail, organisation, and project management skills
  • Strong verbal and written communication skills
  • Commitment to the highest ethical standards 

About Point72

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. For more information, visit www.Point72.com/about.

At The Hidden Market we're committed to Equality, Diversity and Inclusion, read our policy here. We inform clients that candidates should be evaluated on merit of their skills, experience and commercial attributes in relation to the role, and not background, disability, race, age, gender, sexual orientation, education, or any other discriminatory factor.

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