80% or more | Baden
Take charge as a Data Scientist at Axpo's Advanced Analytics team. We are responsible for the implementation of Axpo's Advanced Analytics strategy and the growth of its machine learning-based trading portfolio, where we would like to integrate your ideas and skills.
What you will do
What you bring & who you are
As our markets accelerate, we rely more and more on models and analytics to enhance our trading processes. On the other hand, there must be a deep understanding of the market in order to check the suitability of the models and to be able to translate the traders' input back into the model language. With this trend, models will become a core asset of our work and this position is a unique opportunity at the interface between real-world models and trading.
Axpo Solutions has decided to accelerate the Advanced Analytics transformation and the wider deployment of model-based trading across the different commodity desks and countries. The role of the Data Scientist is to translate the business needs to advanced mathematical models and create state of the art but yet pragmatic solutions, exploiting the available data to enhance trading decisions and profit generation.
What we offer
Your recovering is important for us. Enjoy at least 22 days’ vacation for your work-life balance, and up to 12 paid public holidays per calendar year. You’ll get extra vacation days as a loyalty bonus every five years. In addition to that, you can benefit from flexible working hours as well as the opportunity to work remotely.We offer fairness. In addition to a competitive salary, all employees are entitled to a performance-based componentSafetey first! Our sick pay insurance pays your full salary for up to 730 days. We also have collective health insurance contracts.Above-average and generous. We cover at least 60% of your pension contribution.Your development matters to us. Therefore we invest in your professional growth with a wide range of internal training opportunities and the possibility of cost and/or time-sharing.A modern workplace awaits you in the centre of Baden. The main station is less than a five-minute walking distance. Baden is just 15 minutes from Zurich by train, and offers attractive shops, cultural variety and a wide range of hot springs.At Axpo you can reduce your carbon footprint. Use your free half-fare travel card for business and private travel. When travelling on business by train, you can travel first class. For business trips by car, a separate Mobility fleet is available at Axpo in Baden.About us
Axpo is Switzerland's largest producer of renewable energies. The Trading & Sales business unit is a world leader in energy trading and the marketing of solar and wind power. With a true entrepreneurial mindset and around 1,000 employees in asset-backed trading, prop trading and origination functions in over 30 countries throughout Europe as well as the USA and Asia, we develop innovative, sustainable energy solutions for our business customers and private customers worldwide. Good collaboration between colleagues in the team and the various specialist areas is central to our success. We have an open corporate culture and we value diversity. We therefore welcome applicants regardless of gender, nationality, ethnic or social background, religion or ideology, disability, age, sexual orientation or identity.
More informationAbout the team
You will be part of a dynamic and diverse team across Axpo Solutions that focuses on end-to-end im-plementation of high impact use cases across Europe and commodity desks.
Regular contact with teams of traders, quantitative analysts as well as the management -who is a strong supporter of the ML-based trading approach.
We offer you an entrepreneurial, dynamic and international environment in which you can actively contrib-ute your strengths to help maintaining and ensuring the future success of Axpo.
This is a unique opportunity for an open-minded person, fascinated by latest ML and AI developments but who just as much likes to get things done with real implications and observe the theories applied in the energy trading environment.
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