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Data Scientist - Intern (12-Month Placement)

🚀 Placement Program


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Applications are closed

Placement Program



The purpose of the role:

  • Improve the quality of the data on all asset classes
  • Improve the investment process by doing more analyses and building new reports for traders and PMs.

What the internship will offer:

  • As an intern, you’ll be immersed in a financial environment and learn about asset management and trading. You’ll gain experience in working first-hand with data scientists and traders to research and apply the latest quantitative techniques to solve business problems.


  • Education/Qualifications:
  • Currently pursuing a master’s degree in mathematics, finance, and data science (final year student)
  • Experience:
  • Prior internship experience in data science or quantitative trading is desirable but not required
  • Knowledge and Skills:
  • Strong numerical and analytical background
  • Interest for quantitative finance and research
  • Deep academic knowledge of mathematics fundamentals: probability, statistics, analysis
  • Knowledge in programming and data management (Python, SQL, Tableau)
  • Competencies:
  • Curious and eager to learn
  • Aptitude for problem solving and finding clever solutions to complex unstructured systems
  • Ability to articulate ideas clearly with sharp communication skills and a teamwork mentality
  • Proactive, results-oriented
  • Fluent spoken and written English

Education requirements

Currently Studying

Area of Responsibilities



  • Simplify our architecture and queries where possible and clean up trading databases on all asset classes
  • Implement daily checks to guarantee the data’s quality and ensure the data is consistent amongst all asset classes
  • Improve the trading databases by incorporating new metrics
  • Build a state of the art TCA on equities, FX and listed derivatives
  • Enhance management and regulatory reports (multi-asset, BECOM, investment committee)
  • Find ways to improve liquidity and minimise transaction cost
  • Help the Electronic Trading and Data team to automate the trading workflow.


Work type

Full time

Work mode