Arbejde Data Scientist – Automated Trading Solutions unspecified NEAS ENERGY A/S - jobtilbud
reference: 4918240
documentId: 4918240
connectionPointId: 7
lastModificationDate: 1544707567876
stillingsbetegnelse: Data Scientist – Automated Trading Solutions
jobbeskrivelse:
If you enjoy a fast-paced working environment, while seeing your ideas go from a first spark to a working algorithm in a matter of weeks, you might be the Data Scientist we are looking for to join the Algorithmic Trading Solutions (ATS) department at Centrica EM&T’s Aalborg office – previously known as Neas Energy.
You possess:
- An ability for abstracting and grasping complex scenarios
- The craftsmanship for designing and developing models and algorithms
- A strong drive to implement, independently and in teams
- The will to take on responsibility
Most importantly, you are inspired by seeing your work performing live.
Be a part of Algorithmic Trading Solutions
Algorithmic Trading Solutions is a young department at Centrica EM&T, but with a proven concept already. We are ambitious and aim not only for improving our existing trading setup, but we spear-head development of new sources of income.
Our goals are two-fold: To develop and maintain a portfolio of fully automated algorithmic trading strategies across diverse trading desks, and to fully automate asset optimization via algorithms to maximize their value.
To accomplish this, we are building a cross-disciplinary team combining the right knowledge and expertise across trading, analysis, and programming.
As part of the team you will be involved in developing:
- The statistical foundation, modelling, and market understanding behind our algorithms
- The analytical platform on which we can develop, test and deploy trading strategies
- Both proprietary and asset-backed strategies
Qualifications
You have an intuitive feel for formulating and implementing numerical/mathematical models and algorithms. In addition to your PhD or master’s degree within a quantitative field, you are pragmatic and practical in your approach.
Moreover, your experience includes:
- Implementing and developing numerical models as computer code (either from studies or previous positions).
- Working with established numerical techniques in fields such as Computational Finance, Control Theory, Multi-Physics Simulations, Machine Learning, ...
- At least one programming language (R, Matlab, Python, Fortran, or C#). In ATS, you will develop in R and C#, and will be expected quickly learn and start developing.
- Handling problems with a high abstraction-level, and find juggling large, multi-dimensional data sets natural.
We offer
You will be a part of a truly intellectually stimulating environment. Daily, you will work alongside our traders, IT professionals and data scientists. As an ATS data scientist, you get the opportunity to develop highly scalable and cutting-edge trading strategies from scratch. You will get an exceptional exposure to real-time algorithmic trading systems and to the energy markets.
Practicalities
If you are interested in the position, please send an application along with your CV – both in English - through our recruitment system. If you have any questions regarding your application please contact Thomas Aalund Fredholm, Head of Algorithmic Trading Solutions: tfr (at) neasenergy.com
We will review incoming applications on an ongoing basis and keep the position open until we have found the right candidate.
numberOfPosts: 1
jobCategoriesCodes_0: http://data.europa.eu/esco/isco/C2512
abstractJV_contact_0: Please apply using one of the specified channels
positionTypeCode: directhire
contractTypeCodes_0: fulltime
Arbejdsgiver Navn: NEAS ENERGY A/S
source: DK-STAR
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