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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

9Open Positions

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2026 Summer Internship – Data Engineer, Long/Short Equities

Point72
Found 1 month ago
Location
London, United Kingdom
Duration (Months)
2.5 Months
Time
Not disclosed
Work Mode
On-site
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Bachelor
  • Master

Skills & Qualifications

Technical Skills

  • SQL
  • Python
  • Pandas
  • PySpark
  • Excel
  • visualisation

Soft Skills

  • 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

Job Description

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

Requirements

  • 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

Related Field

  • Data & Analytics

Related Subfield

  • Data Engineering

Languages

  • English

Nice to Haves

  • 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
▶Apply Now

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