Python Engineer - Energy Trading Platform
Are you curious about finance, trading, and the energy markets? Are you interested in creating algorithmic trading strategies specifically for the energy market and collaborating with Data Scientists to implement their AI trading strategies? Does the idea of working on high-speed messaging services and real-time, low-latency trading systems excite you? I
What problems need to be solved? As a (mid-level) Python developer in this position, you will be crucial in developing software and services that facilitate trading activities in the energy and commodities markets. Your work will provide market participants with the necessary tools and technology to operate efficiently and effectively. The landscape of energy trading is ever dynamic and major shifts in these markets make for front page news. This role sits at the heart of the action.
This role will offer you;
direct involvement in working on the algorithms that drive the various trading strategies
constant refinement and optimization of both the code and the design of the systems to decrease latencies, ensuring the business remains competitive and profitable in the face of ever-increasing volatility and complexity
work to help implement AI-generated trading strategies and backtest them against existing models
the chance to learn more about systems design with particular emphasis on how to design real-time, distributed applications
This position is based in Vienna, considered the world's most livable city (two years running!), and offers a 50/50 hybrid model with your commute to and from the office paid for on the days that you do go into the office. Please note that this client is not open to entertaining remote work for these roles nor are they able to provide visa sponsorship.
Want to know more? All you need to do is send us your CV; if you don’t have one ready, send a PDF of your LinkedIn profile. If you are not on LinkedIn, start a Word document and write a few lines about what you are working on now and why you think this might be interesting.
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