Quant Student Assistant

Alipes ApS

Copenhagen, Denmark
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Python tooling for data processing
Scalable pipelines for dataset generation
Distributed computing technologies
** Alipes ApS is seeking a Quant Student Assistant to support their machine learning and data engineering efforts in automating financial markets. The ideal candidate will have a strong foundation in computer science and Python, with a curiosity for building and improving production systems. **

Job Summary

  • You’ll help us build and improve the ML infrastructure powering our fully automated trading systems.
  • You’ll join an informal, highly technical Quant team where ownership matters and good ideas move fast.
  • Competitive benefits, including health insurance and 25 days of vacation.

Matching Summary

Match Score: 75

** Alipes ApS is seeking a Quant Student Assistant to support their machine learning and data engineering efforts in automating financial markets. The ideal candidate will have a strong foundation in computer science and Python, with a curiosity for building and improving production systems. **

Skills & Requirements

Must-have

  • Python tooling for data processing
  • Scalable pipelines for dataset generation
  • Distributed computing technologies
  • Production-grade systems development
  • Computer science fundamentals
  • Strong Python skills
  • Working with large datasets

Nice-to-have

  • Scientific and inquisitive mindset
  • Interest in distributed systems
  • Familiarity with containerization
  • Personal projects showing initiative

Key Requirements

  • Currently enrolled in a technical BSc/MSc program
  • Familiarity with at least one strongly typed language

Work Rights

Not specified

Tailored Resume

Cover Letter