Mission:
Your mission is to conceive and develop models, strategies and integrations for our proprietary trading systems, with a focus on Petroleum Products.
The purpose of these trading systems is to generate trade signals systematically. You are also expected to pitch discretionary trade ideas, when such opportunities arise. Final trading decisions are made by Traders.
Interpetrol will support you in numerous ways, including:
* providing a platform to employ the latest technologies relevant to your mission
* providing an experienced "co-pilot" to direct your development of models and strategies
* providing a global network of physical customer relationships, which can contribute to your understanding of the market
Location:
This position is available in our office in Zug, Switzerland.
If you are an exceptional candidate but are not able to work in the region of Zug, we nonetheless encourage you to submit your application. By its nature, commodities trading is a global business, and Interpetrol continuously reviews and develops its office footprint to support operational and commercial needs.
Remuneration:
Your remuneration is structured to best align your incentives with the interests of Interpetrol. As a result, the focus of your remuneration will be:
* generous bonuses for your performance, which will be transparently benchmarked
* the growth of your personal enterprise value, by leveraging the platform Interpetrol provides to develop a stellar track record
Benefits:
You will have the flexibility to work in the environment that maximizes your productivity, including to work entirely remotely within a certain distance of your office of employment. We will provide a generous IT allowance for your remote work setup.
In addition, we will provide:
* benefits to support your health and personal finances
* generous paid time off
* a generous continuing education allowance for skills relevant to your mission
* regular corporate off-sites
Requirements:
* valid Swiss work permit or EU/EFTA citizenship
* experience with programming in your language of choice
* experience with ML/AI applied to financial data, knowledge of time-series analysis, signal processing, quant datasets
* ability to communicate complex ideas precisely and efficiently in English