Data Scientist energy sector

FinTree BV
Geplaatst op
2 tot 6 maanden
Op uurbasis
Op locatie
Data Scientist - FISV00167


  • Baker Tilly Berk NV 42 opdrachten
  • Yacht bv 32 opdrachten


Job Profile
Energy markets are extremely dynamic. Therefore, our professionals in the wholesale energy division trade 24 hours a day, 7 days a week to optimize portfolio returns and to mitigate market risks. Our focus is maximizing the extrinsic value of our assets (power plants, long-term contracts, gas pipelines and storage facilities, etc.) with our asset-backed trading strategy. In addition, we maximize profits through origination (structured deals) and proprietary trading activities. Furthermore, we obtain access to the wholesale market for our company by sourcing long-term gas and coal contracts and by supplying electricity and gas to our B2B and B2C departments.


The Analysis department forms the “competitive back-bone” of the optimization and trading activities of wholesale division. The importance of analytical competences and advanced quantitative methods and techniques has increased significantly in the last years due to the growing complexity of markets, assets and products. Also, the emergence of “big data”, the very dynamic and rapidly changing energy market and the further internationalization of the playing field has boosted the demand for complex models and analysis. Market intelligence and analytics are not only central to the daily trading and asset optimization activities, but also in the introduction of new business models and in deciding among the difficult strategic alternatives with which energy companies are currently confronted. At the Analysis department of the wholesale energy division everything is about “brain power” and “research & development”, but in a very results-oriented and commercial wholesale/trading environment. This demands a unique combination of analytical and commercial/entrepreneurial competences and people that can work both, independently and as a team, with an open and proactive attitude.

Tasks & Responsibilities

  • Analyse and quantify (very complex) market developments making visible the shifts in demand and supply through the use aata analytics.

  • Actively search for market opportunities and translate them, through predictive analytics, into success factors and trading strategies for the Asset Book and trading books.

  • Develop and improve machine based learning models used to asset-back trade in the market.

  • Act as the authority/expert contact point in his field for colleagues from inside and outside the department.

  • Come frequently with proposals that contribute to the success of E&M Wholesale.

Qualifications, or working and intellectual level
-Strong academic background (MSc or PhD ) in mathematics (e.g. Business Analytics, Artificial Intelligence) or any other quantitative discipline.

Knowledge, experience and skills in the specialist field

-Knowledge in the field of machine based learning, predictive analytics algorithms and artificial intelligence.
-Knowledge in the field of distributed processing, Big Data, Database systems and Data Analytics.
-Affinity with (international) markets, market developments and market information.
-Advanced knowledge of programming and quantitative software applications (Eviews, Matlab, Python, R, Excel) and good programing skills (VBA, Matlab, C++,).

General skills

-Team player that contributes to building team spirit.
-Able to effectively communicate results to a variety of groups with different backgrounds.
-Creative, innovative and seeking change.

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2 reacties

  • Datum
    25-02-2016 17:42

    Reactie is prive en alleen zichtbaar voor de opdrachtgever en de plaatser van de reactie.

  • Datum
    14-03-2016 18:05

    Reactie is prive en alleen zichtbaar voor de opdrachtgever en de plaatser van de reactie.

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