Quantitative developer (Python)

Quantlane - Praha


Python, Git, Linux, a bit of mathematics and a good deal of interesting problems.

What will you do?

Build automated trading strategies running on stock exchanges around the globe. Learn how to turn a few lines of Python code into ‘magic’ that will trade billions. Design complex software architectures, solve difficult problems and discuss them with team-members. Help us make markets more efficient for millions of investors. Bring your own ideas and see them succeed, world-wide.

Perks and benefits

  • Motivating profit share from the strategies you work on
  • Friendly colleagues that will introduce you into the trading world
  • Combination of office and home-office days
  • Top floor office in the Palladium building with a large terrace and a beautiful view of the city
  • Shower, changing room, nap rooms, and parking space for bicycle
  • Fully stocked kitchen and a cozy lounge, where we often stay for a beer after work
  • Multisport card and yoga lessons
  • Regular company events and team-building activities
  • 5 weeks of vacation, 5 sick days and pension contribution

About you

  • Experience with complex systems development in Python
  • Ability to learn fast and orient in a large code base
  • SW engineering skills: testing, debugging, CI, Git
  • Basic Linux command-line knowledge
  • Critical thinking and problem solving skills
  • Balance between attention to detail and ability to design simple solutions
  • Good command of English

You will get extra points for

  • Knowledge of Python data science stack such as Pandas and NumPy
  • Interest in trading
  • Mathematical background or statistical skills
  • Experience with machine learning
  • High-performance skills such as Cython knowledge and profiling
  • Experience with strong typing and Mypy checker
  • Experience with Python’s asyncio library

If you are interested in this position, please send your CV to tomas.sladek@quantlane.com with the subject "Quantitative developer​ - KI".

Our talks from conferences:

  • Algorithmic trading with asyncio
  • Feeding a real-time user interface
  • Bringing C performance to Python
  • Building an Algorithmic Trading Platform
  • Python, Docker, Kubernetes and beyond?
  • Start typing: beyond the basics of def foo(x:int) -> str:

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