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
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 firstname.lastname@example.org 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: