Energy markets are extremely dynamic. Therefore, the professionals in Wholesale trade 24 hours a day, 7 days a week to optimize portfolio returns and to mitigate market risks. The focus is maximizing the extrinsic value of their assets (power plants, long-term contracts, gas pipelines and storage facilities, etc.) with their asset-backed trading strategy. In addition, they maximize profits through origination (structured deals) and proprietary trading activities. Furthermore, by supplying electricity and gas to B2B customers.

The Analytics department forms the “competitive back-bone” wholesale activities. 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 analysis is 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 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.


  • Analyse and quantify (very complex) market developments making visible the shifts in demand and supply through the use of mathematical and econometric models.
  • Actively search for market opportunities and translate them, through quantitative methods and techniques, into success factors and trading strategies for the Asset Book and trading books.
  • Build pricing models using Python and/or Matlab by simulating the price product and its drivers using Monte-Carlo techniques.
  • Interact with Structurers and Originators to price non-standard contracts.
  • Build asset hedging and asset optimization models.


  • Strong academic background (MSc or PhD ) in Econometrics or any other quantitative discipline.
  • Knowledge, experience and skills in the specialist field.
  • Extensive knowledge in the field of quantitative models, methods and techniques.
  • Thorough knowledge of (systematic) energy trading, complex energy contracts (structured products) and financial products (derivatives).
  • Experience in pricing Structured Energy products.
  • Experience building pricing models.
  • Sound knowledge of the Electricity Imbalance System and the Day-ahead market.
  • Sound knowledge of physical energy assets (power plants, gas storage, etc).
  • Advanced knowledge of the following software applications (Eviews, Matlab, Excel, Gen) and good programming skills (VBA, Python and Matlab).
  • Deciding and taking responsibility.
  • Communicating to specific groups.
  • Applying technical expertise.
  • Creating, innovating and seeking change.
  • Relationship building at different levels of the organization.
  • Analysing and evaluating information.


PZEM offers excellent employee benefits group health insurance, attractive discounts for staff facilities, a Benefit Budget that lets you decide on the allocation of your benefits yourself, and a competitive salary.


Are you the quant analyst we are looking for? Do you want to know more about this vacancy? Please contact Aline van der Steeg, 06 50 20 69 80 or